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Top 5 Places to Learn Smart Contract Development (Solidity!) - Cyfrin Updraft - My YouTube :) - Speed Run Ethereum - Alchemy University - Rare Skillz

Patrick Collins

112,865 subscribers

24,927 views • 2 years ago •via X (Twitter)

Science & Technology Education

Anya Rossi• Live Now

Private livecam show

10 Comments

Zuby Oha2 years ago

@CyfrinUpdraft has everything needed to succeed as a smart contract developer and much more.

Manish.eth2 years ago

The goat 🐐💯🚀

Cube || مكعب2 years ago

@RareSkills_io are awesome and such an amazing resource, I really enjoyed all thier deep dives..

Shrey Jhade2 years ago

Patrick Collins === Solidity Course 💀💀

S kokkiligadda2 years ago

Only @CyfrinUpdraft for me

Kenn.eth2 years ago

Completed Alchemy. Enrolled at Updraft

Sarthi.eth2 years ago

Updraft it is 🚀

Saul🤟🏾2 years ago

Also @buidlguidl and @austingriffith

Fabbaist.box2 years ago

You forgot @encodeclub ... @MatheusPagani77 and @extropyLaurence taught me a ton across multiple solidity and ZK bootcamps

𝐎𝐧𝐞𝐓𝐫𝐮𝐞𝐇𝐨𝐦𝐢𝐞(👑,👑)2 years ago

Thank you Patrick, you inspire the junior devs here so much.

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1.5 years ago, we launched Cyfrin Updraft. Since then, we've helped over 200k students master: - DeFi - Solidity - Wallet security - Zero-knowledge - Smart contract development and security You can start from 0 and become a Fortune 500 engineer or a billion-dollar founder 👇

1.5 years ago, we launched Cyfrin Updraft. Since then, we've helped over 200k students master: - DeFi - Solidity - Wallet security - Zero-knowledge - Smart contract development and security You can start from 0 and become a Fortune 500 engineer or a billion-dollar founder 👇

Cyfrin Updraft 🟩

412,442 views • 1 year ago

Excited to share my conversation with Patrick Collins, co-founder and CEO of , the team behind Cyfrin Updraft 🟩 (one of the best educational resources in Ethereum). We cover Patrick's hardware wallet side-quest (sorry for talking about hardware wallets for too long!), why crypto is a better system than tradfi, the importance of OSS, and viewing education as positive-sum. Timestamps [ 0:00 ] Intro to Patrick Collins and his workload [ 01:15 ] Making smart contracts safer and better [ 05:58 ] Hardware wallet quest [ 22:32 ] IRL security at crypto conferences [ 33:05 ] Our system is better (than tradfi) [ 34:44 ] OSS in Ethereum (Geth, Solidity, Vyper) [ 36:01 ] Cyfrin’s mission + supporting Ethereum [ 37:22 ] Cyfrin Updraft [ 40:00 ] Hacks and crypto’s reputation [ 45:08 ] Improving launch practices (insurance + disaster recovery) [ 52:46 ] Traits to look for when hiring

Excited to share my conversation with Patrick Collins, co-founder and CEO of , the team behind Cyfrin Updraft 🟩 (one of the best educational resources in Ethereum). We cover Patrick's hardware wallet side-quest (sorry for talking about hardware wallets for too long!), why crypto is a better system than tradfi, the importance of OSS, and viewing education as positive-sum. Timestamps [ 0:00 ] Intro to Patrick Collins and his workload [ 01:15 ] Making smart contracts safer and better [ 05:58 ] Hardware wallet quest [ 22:32 ] IRL security at crypto conferences [ 33:05 ] Our system is better (than tradfi) [ 34:44 ] OSS in Ethereum (Geth, Solidity, Vyper) [ 36:01 ] Cyfrin’s mission + supporting Ethereum [ 37:22 ] Cyfrin Updraft [ 40:00 ] Hacks and crypto’s reputation [ 45:08 ] Improving launch practices (insurance + disaster recovery) [ 52:46 ] Traits to look for when hiring

alisha.eth

18,366 views • 10 months ago

David Hoffman: "The decision to sell my $ETH came from seeing a difficulty in the Ethereum network being market competitive." ETH went from 90%+ smart contract dominance to 60%, and that gap is the difference between "ETH is money" and "ETH is just another L1 asset." What's missing is a killer instinct at the top (the EF). FT John Gillen - WartimeEthereum.eth David Hoffman Camila Russo The Defiant.

David Hoffman: "The decision to sell my $ETH came from seeing a difficulty in the Ethereum network being market competitive." ETH went from 90%+ smart contract dominance to 60%, and that gap is the difference between "ETH is money" and "ETH is just another L1 asset." What's missing is a killer instinct at the top (the EF). FT John Gillen - WartimeEthereum.eth David Hoffman Camila Russo The Defiant.

Milk Road Crypto

289,304 views • 3 months ago

Use this ChatGPT plugin to avoid crypto rugpulls. The Smarter Contracts plugin can analyze any Ethereum contract, describe key components of it, and identify red flags. To use the plugin, you’ll need ChatGPT Plus, which costs $20/month. Once you have ChatGPT Plus, go through these steps to install the plugin: 1. Select GPT-4 2. Ensure that you have 'Plugins' selected 3. Go to the Plugin Store 4. Search for 'Smarter Contracts' 5. Install Here’s an example prompt using the contract for a token that rugpulled today: Describe what this Ethereum contract does. Identify any red flags: 0x57E2bfAB5372d915Ab14dAb2c6FCF7fbcC24283f BOOM. We can see that the plugin quickly identifies the contract as a honeypot. With this tool, 10 seconds can save time and money. Video demo below 👇 -- To learn more about crypto research tools: 1) Subscribe to my weekly newsletter at (you'll also receive a free e-book about on-chain analysis) 2) Follow me 0 to 1

Use this ChatGPT plugin to avoid crypto rugpulls. The Smarter Contracts plugin can analyze any Ethereum contract, describe key components of it, and identify red flags. To use the plugin, you’ll need ChatGPT Plus, which costs $20/month. Once you have ChatGPT Plus, go through these steps to install the plugin: 1. Select GPT-4 2. Ensure that you have 'Plugins' selected 3. Go to the Plugin Store 4. Search for 'Smarter Contracts' 5. Install Here’s an example prompt using the contract for a token that rugpulled today: Describe what this Ethereum contract does. Identify any red flags: 0x57E2bfAB5372d915Ab14dAb2c6FCF7fbcC24283f BOOM. We can see that the plugin quickly identifies the contract as a honeypot. With this tool, 10 seconds can save time and money. Video demo below 👇 -- To learn more about crypto research tools: 1) Subscribe to my weekly newsletter at (you'll also receive a free e-book about on-chain analysis) 2) Follow me 0 to 1

Patrick Scott

71,995 views • 3 years ago

A world first: a demonstration of AI running *on* blockchain as a smart contract 🧠⚡️ The Internet Computer is used – the world's first 3rd gen. blockchain #ICP. AI will become the beating heart of our web3, multi-chain world, and this is only my first demo. Code will follow shortly. This is running on DFINITY's Internet Computer testnet, but you'll be able to take the code and run it on the public network as the NNS is expected to up the per-transaction instruction limit in the coming days. Some important notes. The inference engine used has not been optimized, and we will show vastly greater efficiency in subsequent demos, where the AI runs even faster, and consumes less gas/cycles. We will also propose to the NNS that smart contracts have access to SIMD instructions – which we have determined are deterministic – unlocking vastly more speed and efficiency. Lastly, currently the actor smart contracts ICP hosts run inside a 32 bit environment, which limits their main memory to 4GB. Within the next couple of months, we expect the Internet Computer to move to a 64 bit environment, allowing smart contract memory limits to be raised much higher – allowing for models with far more parameters, and thus power, to be run. Those of you who have followed my posts know that hardware optimization support is planned. Firstly this will involve WASM smart contracts shipping out matrices for processing by the CPUs on existing node machines (another advantage of the Internet Computer running on sovereign node hardware). Secondly, we plan to propose a new public node machine specification, which node providers can build to, for use in subnets specialized for hosting AI smart contracts, in which each machine will incorporate several GPUs. Naturally, this will be packaged with other technological developments that ensure smart contract determinism. This is part of our mission to enable powerful LLMs to run as smart contracts on the Internet Computer – in a forms that are tamperproof, unstoppable, and optionally autonomous (including under the exclusive control of DAOs). Our vision: you will be able to have a chat with a smart contract. A smart contract will be able to coordinate your organization (see my earlier tweet about a "Delphi"). ICP smart contracts will be able to audit Ethereum smart contracts, kitemarking those without backdoors and reentrancy bugs. And smart contracts will be able to do KYC autonmously, matching faces to driving licenses, and more. We will deliver new SDK enhancements, and work with partners, to turbocharge crypto AI developers. Secure and unstoppable AI and third generation blockchain will be two sides of the same coin. Security and AI will be indivisible. AI models will be traded as NFTs. Thanks to Internet Computer's chain key (trustless multi-chain) capabilities, all blockchains will be able to leverage AI smart contracts. The future is beyond exciting. Thanks for watching. Can't wait to give you more demos!

A world first: a demonstration of AI running on blockchain as a smart contract 🧠⚡️ The Internet Computer is used – the world's first 3rd gen. blockchain #ICP. AI will become the beating heart of our web3, multi-chain world, and this is only my first demo. Code will follow shortly. This is running on DFINITY's Internet Computer testnet, but you'll be able to take the code and run it on the public network as the NNS is expected to up the per-transaction instruction limit in the coming days. Some important notes. The inference engine used has not been optimized, and we will show vastly greater efficiency in subsequent demos, where the AI runs even faster, and consumes less gas/cycles. We will also propose to the NNS that smart contracts have access to SIMD instructions – which we have determined are deterministic – unlocking vastly more speed and efficiency. Lastly, currently the actor smart contracts ICP hosts run inside a 32 bit environment, which limits their main memory to 4GB. Within the next couple of months, we expect the Internet Computer to move to a 64 bit environment, allowing smart contract memory limits to be raised much higher – allowing for models with far more parameters, and thus power, to be run. Those of you who have followed my posts know that hardware optimization support is planned. Firstly this will involve WASM smart contracts shipping out matrices for processing by the CPUs on existing node machines (another advantage of the Internet Computer running on sovereign node hardware). Secondly, we plan to propose a new public node machine specification, which node providers can build to, for use in subnets specialized for hosting AI smart contracts, in which each machine will incorporate several GPUs. Naturally, this will be packaged with other technological developments that ensure smart contract determinism. This is part of our mission to enable powerful LLMs to run as smart contracts on the Internet Computer – in a forms that are tamperproof, unstoppable, and optionally autonomous (including under the exclusive control of DAOs). Our vision: you will be able to have a chat with a smart contract. A smart contract will be able to coordinate your organization (see my earlier tweet about a "Delphi"). ICP smart contracts will be able to audit Ethereum smart contracts, kitemarking those without backdoors and reentrancy bugs. And smart contracts will be able to do KYC autonmously, matching faces to driving licenses, and more. We will deliver new SDK enhancements, and work with partners, to turbocharge crypto AI developers. Secure and unstoppable AI and third generation blockchain will be two sides of the same coin. Security and AI will be indivisible. AI models will be traded as NFTs. Thanks to Internet Computer's chain key (trustless multi-chain) capabilities, all blockchains will be able to leverage AI smart contracts. The future is beyond exciting. Thanks for watching. Can't wait to give you more demos!

dom | icp

1,363,378 views • 2 years ago

Ethereum is officially transitioning to a monopoly L2s are finished, $ETH monopolizes smart contract rails In my mental framework, $ETH is a value index of smart contracts. It has network effect (most wallets), economies of scale (60% stablecoins are tokenized on ethereum) and proprietary technology (100% uptime). It's early days to talk about value capture because no token has really pumped because of utility the past 10 years, it's mostly the social value that creates fomo which created the pumps. Ethereum is the symbol the OG crypto anarchist social value, and vitalik.eth and the Ethereum community keep pushing for that. This community can't be replaced with Solana or BNB's community, which is a real moat that Ethereum has. One can argue Bitcoin has similar or more hardcore anarchist community, yes, this is why $BTC is number one and $ETH is number two. But over time I believe Ethereum's upside is far better because smart contracts enable it to scale its community via use cases/Apps like stablecoin and DAOs. Despite Thomas (Tom) Lee (not drummer) FundstratDirect.com buying 5% of $ETH that OG ethos of Ethereum is not going to change to the "enterprise chain" ethos because of the $ETH community and vitalik.eth. $ETH $BMNR

Ethereum is officially transitioning to a monopoly L2s are finished, $ETH monopolizes smart contract rails In my mental framework, $ETH is a value index of smart contracts. It has network effect (most wallets), economies of scale (60% stablecoins are tokenized on ethereum) and proprietary technology (100% uptime). It's early days to talk about value capture because no token has really pumped because of utility the past 10 years, it's mostly the social value that creates fomo which created the pumps. Ethereum is the symbol the OG crypto anarchist social value, and vitalik.eth and the Ethereum community keep pushing for that. This community can't be replaced with Solana or BNB's community, which is a real moat that Ethereum has. One can argue Bitcoin has similar or more hardcore anarchist community, yes, this is why $BTC is number one and $ETH is number two. But over time I believe Ethereum's upside is far better because smart contracts enable it to scale its community via use cases/Apps like stablecoin and DAOs. Despite Thomas (Tom) Lee (not drummer) FundstratDirect.com buying 5% of $ETH that OG ethos of Ethereum is not going to change to the "enterprise chain" ethos because of the $ETH community and vitalik.eth. $ETH $BMNR

Bitmine Marine (BMNR)

45,601 views • 7 months ago

🔥 Want to know exactly how a D1 wide receiver builds real top-end speed? This is how. Save this. Run it 1–2x per week. This is the exact top speed day structure I run with my athletes when we’re chasing measurable gains in max velocity and game speed. No fluff. No complicated drills. Just the proven sequence that actually transfers. Here’s the full breakdown: 1. Warm-up 2. Prep work 3. Build-up sprints 4. Flying sprints (15 yd build) 5. 30 yard sprints 6. Hurdle hops 7. Drop jumps 8. Depth landings 9. Dynamic front squat 10. Dynamic step-up 11. Dynamic rack pull Which part are you stealing for your next speed session? 👇

🔥 Want to know exactly how a D1 wide receiver builds real top-end speed? This is how. Save this. Run it 1–2x per week. This is the exact top speed day structure I run with my athletes when we’re chasing measurable gains in max velocity and game speed. No fluff. No complicated drills. Just the proven sequence that actually transfers. Here’s the full breakdown: 1. Warm-up 2. Prep work 3. Build-up sprints 4. Flying sprints (15 yd build) 5. 30 yard sprints 6. Hurdle hops 7. Drop jumps 8. Depth landings 9. Dynamic front squat 10. Dynamic step-up 11. Dynamic rack pull Which part are you stealing for your next speed session? 👇

Gerry DeFilippo

21,928 views • 4 months ago

Kaspa Leads Market Performance Ahead Of Toccata Programmability Hard Fork $KAS is the top-performing major cryptocurrency today, rallying 8.7% over the past 24 hours amid the upcoming "Toccata" hard fork. Daily trading volume has surged nearly 100% to $22.2M, with significant liquidity concentrated on KuCoin and Bybit. This momentum follows a period of high-velocity development as the network approaches 2.35 billion cumulative transactions and prepares for its most significant structural shift since launch. The Toccata upgrade serves as the definitive transition for Kaspa from a high-speed sequencer to a natively programmable smart contract platform.

Kaspa Leads Market Performance Ahead Of Toccata Programmability Hard Fork $KAS is the top-performing major cryptocurrency today, rallying 8.7% over the past 24 hours amid the upcoming "Toccata" hard fork. Daily trading volume has surged nearly 100% to $22.2M, with significant liquidity concentrated on KuCoin and Bybit. This momentum follows a period of high-velocity development as the network approaches 2.35 billion cumulative transactions and prepares for its most significant structural shift since launch. The Toccata upgrade serves as the definitive transition for Kaspa from a high-speed sequencer to a natively programmable smart contract platform.

BSCN

26,213 views • 2 months ago

Just found a blockchain that could give Solana a run for its money👀 Taraxa is the only PoS BlockDAG L1 with smart contract capabilities, and it's still flying under the radar... Here’s what you need to know 👇 0:00 - Intro 0:29 - Background L1s 1:11 - Trilema 1:50 - BlockDAG 3:30 - Highlights 4:20 - History 5:40 - Chainspect 6:24 - Recent Updates 7:10 - $TARA 7:50 - My Thoughts

Just found a blockchain that could give Solana a run for its money👀 Taraxa is the only PoS BlockDAG L1 with smart contract capabilities, and it's still flying under the radar... Here’s what you need to know 👇 0:00 - Intro 0:29 - Background L1s 1:11 - Trilema 1:50 - BlockDAG 3:30 - Highlights 4:20 - History 5:40 - Chainspect 6:24 - Recent Updates 7:10 - $TARA 7:50 - My Thoughts

Jason Borck

15,523 views • 1 year ago

OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.

OpenLedger X Morpheus The partnership of openledger with Morpheus enables Use Morpheus to build "The Autonomous Smart Contract Engineer" on top of OpenLedger. What is Morpheus? Morpheus is a Web3-native AI coding agent that turns natural language into executable smart contracts and full-stack dApps. It is powered by a specialized Solidity model built on top of OpenLedger, tailored for the unique demands of secure and efficient onchain development. It goes beyond code generation. Using fine-tuned models, agent-based architecture, and modular plugin support, Morpheus automates the entire development pipeline-from writing and simulating contracts to deploying and maintaining them. Its mission is to reduce the barrier to dApp creation while enabling autonomous agents and individuals to participate in decentralized economies. Why OpenLedger? The rise of AI agents in Web3 raises urgent questions around transparency, attribution, explainability, and contributor incentives. OpenLedger provides the infrastructure to ensure that contributor data used in model outputs is recorded with verifiable attribution. Through Proof of Attribution, contributors-whether they provide prompts, datasets, or logic refinements-can receive credit and rewards when their work influences model behavior. But attribution alone isn’t enough. In critical domains like smart contract deployment, DeFi automation, and DAO governance, understanding why a model made a decision is just as important as the output itself. OpenLedger supports explainability by linking outputs back to their original data sources-allowing developers and auditors to trace logic, validate decisions, and build trust in AI-powered systems. OpenLedger supports Morpheus by: Recording which data was used in generating model outputs Enabling verifiable attribution of contributed datasets Powering reward mechanisms for contributors Offering scalable and efficient model execution via OpenLoRA Supporting transparency and traceability in model decision-making This creates an open, rewardable foundation for AI-driven coding-without relying on opaque systems. How is the system built? The Morpheus architecture has three layers: Datanet Layer OpenLedger powers Morpheus with a specialized Datanet - a decentralized data layer where developers, auditors, and contributors can share smart contract patterns, audit logs, exploit reports, and logic modules. Each submission is recorded onchain with attribution using OpenLedger’s Proof of Attribution. As the model learns and evolves from this data, contributors receive rewards proportional to their impact on future outputs. The Morpheus architecture has two layers: Intent Layer Users describe what they want to build. Example: "Create a token with tax logic that routes to a DAO." Morpheus parses the instruction, retrieves relevant contract types, and plans a modular execution flow. Agent Layer The agent generates, tests, and assembles the contract. It handles versioning, logic validation, and deployment readiness. Security checks-reentrancy protection, overflow control, gas modeling-are embedded into the generation phase. Generated outputs are mapped to their source data using OpenLedger’s Proof of Attribution, providing traceability across the pipeline. How does the AI model work? Morpheus is being powered by a specialized Solidity model built on top of OpenLedger. This model is purpose-built to handle the nuances of smart contract logic, security, and upgradeability. Unlike generalized coding agents, it is designed specifically for EVM environments and Web3 use cases, drawing from real protocol data and security best practices. Morpheus is fine-tuned on a vertical stack of smart contract data: Audited protocol code (e.g., Uniswap V4, Compound) OpenZeppelin libraries and EIP reference implementations Smart contract vulnerability reports and exploit reconstructions Edge cases from fuzz testing and adversarial examples It uses models like CodeLlama and DeepSeek-Coder, enhanced through RAG pipelines referencing standardized security patterns and emerging protocol designs. This training stack is integrated into a continuous feedback loop, enabling real-time specialization for EVM and beyond. Why a specialized model is needed? Smart contract development is uniquely high-stakes. A generalized AI model is not enough. As 'vibe coding' and natural language programming become more common, we're seeing an influx of AI-generated code in Web3 as well. But smart contracts are not frontends or prototypes-they govern real value, enforce trustless execution, and often become immutable after deployment. Billions have been lost in Web3 due to bugs and inefficiencies: In 2022 alone, over $3.8 billion was stolen due to smart contract exploits, many of which stemmed from avoidable issues like reentrancy, integer overflows, or access control failures. Inefficient contract structures lead to unnecessary gas consumption. Optimizing for gas can reduce costs by up to 40%, saving projects millions over time. Upgradeable contract patterns, like UUPS or Transparent Proxies, require strict adherence to storage layout and initialization rules. Mistakes here often go undetected by generic models and can render a contract unupgradeable or vulnerable. A specialized Solidity model is trained on real-world exploits, EIP standards, and libraries like OpenZeppelin to: Generate secure, gas-efficient code by default Recognize and correctly implement complex proxy patterns Map user intent to modular, auditable contract architectures Incorporate battle-tested logic from audited protocols and fuzz-tested edge cases Morpheus goes beyond syntax-it understands the nuances of decentralized infrastructure and deploys code that meets production-grade standards. What applications will this enable Token creation with built-in logic (tax, liquidity, governance) DeFi automations triggered by market conditions Payment contracts between agents and contributors DAO tooling with dynamic NFT-based voting Cross-chain bridging logic tied to real-world oracles Asset issuance flows through chat-based interfaces Natural language contract templates with reusable logic Each of these flows is backed by OpenLedger’s Proof of Attribution-ensuring traceability, explainability, and fair rewards across the ecosystem. This is the future of AI-native development. Open. Attributed. Explainable. Community-powered. Morpheus and OpenLedger are building the first system for autonomous coding agents where: Contributor work is recorded onchain Reuse is incentivized through attribution Model outputs are traceable and explainable Contracts evolve through human-agent collaboration Anyone can contribute prompts, logic, or flows-and get rewarded The smart contract engineer is no longer a human-only role. It is an agentic, decentralized, and transparent process-powered by OpenLedger.

OpenLedger

46,944 views • 1 year ago

"Something interesting that Vitalik mentioned was that none of that [Ethereum scaling] roadmap took into account AI developments. My kind of personal hot take is they're actually gonna ship this [strawmap] faster than people think. Iterations in things like Claude, helping out with the Ethereum developer community." - Nomatic ---------- "No one's ready for Ethereum to actually ship faster than what we think. No one's ready for Ethereum to actually go into like the driver's seat of winning mode, while retaining the most important quality, which is decentralization. I mean, as software becomes more commoditized and as development cycles get faster and faster, it's gonna be easier and easier to spin up new chains. But the one thing no one can recreate is a fully decentralized smart contract chain. Ethereum has the most amount of nodes. That can't be recreated. If anyone wants to cut corners and try and create a blockchain, they need a tiny validator set. They need a centralized validator set. Everyone knows what the tradeoffs are. So Ethereum kind of has the best of both worlds where it went slow when it needed to, during regulatory overhang, and now it can go a lot faster than people think. It's gonna be post-quantum money way faster. It's gonna be money for AI agents way faster than we think. And I think it'll flippen Bitcoin faster than we think as well. And I think that needs to happen during a bull cycle." Vivek Raman, CoFounder of Etherealize

"Something interesting that Vitalik mentioned was that none of that [Ethereum scaling] roadmap took into account AI developments. My kind of personal hot take is they're actually gonna ship this [strawmap] faster than people think. Iterations in things like Claude, helping out with the Ethereum developer community." - Nomatic ---------- "No one's ready for Ethereum to actually ship faster than what we think. No one's ready for Ethereum to actually go into like the driver's seat of winning mode, while retaining the most important quality, which is decentralization. I mean, as software becomes more commoditized and as development cycles get faster and faster, it's gonna be easier and easier to spin up new chains. But the one thing no one can recreate is a fully decentralized smart contract chain. Ethereum has the most amount of nodes. That can't be recreated. If anyone wants to cut corners and try and create a blockchain, they need a tiny validator set. They need a centralized validator set. Everyone knows what the tradeoffs are. So Ethereum kind of has the best of both worlds where it went slow when it needed to, during regulatory overhang, and now it can go a lot faster than people think. It's gonna be post-quantum money way faster. It's gonna be money for AI agents way faster than we think. And I think it'll flippen Bitcoin faster than we think as well. And I think that needs to happen during a bull cycle." Vivek Raman, CoFounder of Etherealize

DeFi Dad ⟠ defidad.eth

17,022 views • 3 months ago

If you know #Python you can now build Apps on a blockchain. #Algorand is a permissionless operating system, anyone can build on it. Transaction fees are low meaning it's not expensive to use. Algorand has never had any downtime so it's reliable and is one of the rare blockchains with instant finality. Over 10 million Python developers are now able to use what they've learn't through writing in the Python coding language and apply it to a blockchain for the first time. It's going to be interesting to see what people start building, we're building a low poly virtual world 🌐 Developers no longer have to learn complicated and relatively unknown languages like #Solidity or #PyTeal to be able to build #Decentralised applications. In under 10 minutes, you can start building on a blockchain. If you'd like to get started or learn more then check out this link and follow the Algorand Developers. The barrier to entry for blockchain development has now significantly been lowered. Algorand may start to out develop blockchains like #Ethereum and #Solana, partly because of the access to a developer pool 300 times bigger than the Solidity developer pool. But also because Algorand doesn't crash, have failed transactions or cost much to use. 😆 😌 🤔 ✨To help us spread the message and have a chance to win a share of 1m $NIKO ($900) then please like, retweet, follow @rxelms and tag 3 friends in the comments using the emoji 🐍 10 winners will be selected in 48 hours, to be eligible you must have over 50 followers. Thanks and good luck.

If you know #Python you can now build Apps on a blockchain. #Algorand is a permissionless operating system, anyone can build on it. Transaction fees are low meaning it's not expensive to use. Algorand has never had any downtime so it's reliable and is one of the rare blockchains with instant finality. Over 10 million Python developers are now able to use what they've learn't through writing in the Python coding language and apply it to a blockchain for the first time. It's going to be interesting to see what people start building, we're building a low poly virtual world 🌐 Developers no longer have to learn complicated and relatively unknown languages like #Solidity or #PyTeal to be able to build #Decentralised applications. In under 10 minutes, you can start building on a blockchain. If you'd like to get started or learn more then check out this link and follow the Algorand Developers. The barrier to entry for blockchain development has now significantly been lowered. Algorand may start to out develop blockchains like #Ethereum and #Solana, partly because of the access to a developer pool 300 times bigger than the Solidity developer pool. But also because Algorand doesn't crash, have failed transactions or cost much to use. 😆 😌 🤔 ✨To help us spread the message and have a chance to win a share of 1m $NIKO ($900) then please like, retweet, follow @rxelms and tag 3 friends in the comments using the emoji 🐍 10 winners will be selected in 48 hours, to be eligible you must have over 50 followers. Thanks and good luck.

Polaris

73,604 views • 2 years ago

#Chipola ‘26 SS Devin Kendall 17U Nation 6’3 175. Top of scale run (3.92 bunt, 3.99-4.01) w/ pro actions & lightning twitch in box make him the most athletic 2026 draft prospect in a top 5 MLB player producing state (GA). Standout ease of effort & body balance in all facets. Near plus bat speed well before physical ceiling. 1st step quickness and lengthy gliding strides will allow top of scale run to play true on basepaths. Could be special defender in CF. Natural reads, standout range, and rare footwork at SS w/ future AVG arm. Turns 18 just days b4 draft. This is a potential plus defender in CF for me with future A/AVG or better defense at 2B the backup plan (if arm ends up light for SS). Outside of elite athleticism - his spin recognition, ability to ctrl effort, rhythm+timing, and feel 2 waste pitches lead me to believe it’s an AVG hit tool down the line. The fact he’s played much less high level baseball compared to other GA ‘26 prospects should not be held against him, it’s a positive for his ceiling as a hitter and overall. This caliber of athlete will fly past peers when seasoned vs quality arms. Prototype CF/SS frame w/ future top of scale bat speed as he physically matures should bring easy 6 raw power.

#Chipola ‘26 SS Devin Kendall 17U Nation 6’3 175. Top of scale run (3.92 bunt, 3.99-4.01) w/ pro actions & lightning twitch in box make him the most athletic 2026 draft prospect in a top 5 MLB player producing state (GA). Standout ease of effort & body balance in all facets. Near plus bat speed well before physical ceiling. 1st step quickness and lengthy gliding strides will allow top of scale run to play true on basepaths. Could be special defender in CF. Natural reads, standout range, and rare footwork at SS w/ future AVG arm. Turns 18 just days b4 draft. This is a potential plus defender in CF for me with future A/AVG or better defense at 2B the backup plan (if arm ends up light for SS). Outside of elite athleticism - his spin recognition, ability to ctrl effort, rhythm+timing, and feel 2 waste pitches lead me to believe it’s an AVG hit tool down the line. The fact he’s played much less high level baseball compared to other GA ‘26 prospects should not be held against him, it’s a positive for his ceiling as a hitter and overall. This caliber of athlete will fly past peers when seasoned vs quality arms. Prototype CF/SS frame w/ future top of scale bat speed as he physically matures should bring easy 6 raw power.

Justin Goetz

15,820 views • 6 months ago

Canton processes $9T+ in monthly settlement volume. 600+ institutions including JPMorgan, DTCC, Goldman Sachs, Broadridge, and Visa run production operations on it. Until Zenith, the only way to access that ecosystem as a developer was to learn Daml, a powerful language purpose-built for institutional contracts and entirely unfamiliar to most of the developer community that built DeFi. Zenith brings EVM execution to Canton Network with SVM coming next. Existing Solidity applications deploy on Canton without a single line of code changed. Hardhat, Foundry, MetaMask, the full Ethereum developer toolkit works exactly as expected. Every EVM transaction routes natively through Canton's Global Synchronizer, composing atomically with Daml-native contracts, tokenized assets, and institutional workflows already live on the network. This isn't EVM compatibility layered on top of Canton through a bridge or a separate settlement mechanism, it's native execution inside Canton's own consensus, both the EVM leg and the Canton leg of every transaction committing simultaneously, with Canton's determinism guarantees maintained and no additional trust assumptions introduced. Zth.

Canton processes $9T+ in monthly settlement volume. 600+ institutions including JPMorgan, DTCC, Goldman Sachs, Broadridge, and Visa run production operations on it. Until Zenith, the only way to access that ecosystem as a developer was to learn Daml, a powerful language purpose-built for institutional contracts and entirely unfamiliar to most of the developer community that built DeFi. Zenith brings EVM execution to Canton Network with SVM coming next. Existing Solidity applications deploy on Canton without a single line of code changed. Hardhat, Foundry, MetaMask, the full Ethereum developer toolkit works exactly as expected. Every EVM transaction routes natively through Canton's Global Synchronizer, composing atomically with Daml-native contracts, tokenized assets, and institutional workflows already live on the network. This isn't EVM compatibility layered on top of Canton through a bridge or a separate settlement mechanism, it's native execution inside Canton's own consensus, both the EVM leg and the Canton leg of every transaction committing simultaneously, with Canton's determinism guarantees maintained and no additional trust assumptions introduced. Zth.

Zenith

11,323 views • 1 month ago

EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers. In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works. Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed into vaults built with Morpho and Steakhouse, and the target yield is roughly 7%. Where does 7% come from? Market makers and liquidity providers pay it. These are traders who need USDG liquidity to run spot and perps trading. Your deposit is funding someone else's 50x leverage, and you're the one getting paid for it. Assuming you get paid back. Which, as we've seen, doesn't always work in DeFi with hacks and smart contract risk. But Robinhood has done something extra to make this retail-grade. Robinhood's answer is an insurance program with Lloyd's of London and Relm covering smart contract and vault failure. He says it's one of the largest ever built for a crypto product. Earn was one of 12 announcements; some others that caught my eye: Stock tokens in 120+ countries, backed 1:1 by real equities. You can withdraw them to a self-custody wallet and post them as collateral. Borrowing against a stock portfolio used to be a private banking perk; now it's a smart contract. Robinhood Chain went to public mainnet after 200 million transactions on testnet. Perps on stocks, crypto, and commodities at 20 to 50x leverage, bringing an entire new asset class to the mainstream. Robinhood is all in on DeFi. DeFi protocols spent a decade fighting for users. Robinhood just made a Morpho vault look like a savings account, in front of 27.7m funded customers. See the 15-minute highlights below and the full episode on the Tokenized Podcast youtube channel Full interview with Johann on bryton k. YouTube

EXCLUSIVE: Robinhood is going to pay 7% on dollars to 27.7 million customers. In this Interview Johann Kerbrat, their SVP of Crypto explains how it all works. Robinhood Earn lives inside the main investing app. You can buy the USDG stablecoin in a few taps, and it gets deployed into vaults built with Morpho and Steakhouse, and the target yield is roughly 7%. Where does 7% come from? Market makers and liquidity providers pay it. These are traders who need USDG liquidity to run spot and perps trading. Your deposit is funding someone else's 50x leverage, and you're the one getting paid for it. Assuming you get paid back. Which, as we've seen, doesn't always work in DeFi with hacks and smart contract risk. But Robinhood has done something extra to make this retail-grade. Robinhood's answer is an insurance program with Lloyd's of London and Relm covering smart contract and vault failure. He says it's one of the largest ever built for a crypto product. Earn was one of 12 announcements; some others that caught my eye: Stock tokens in 120+ countries, backed 1:1 by real equities. You can withdraw them to a self-custody wallet and post them as collateral. Borrowing against a stock portfolio used to be a private banking perk; now it's a smart contract. Robinhood Chain went to public mainnet after 200 million transactions on testnet. Perps on stocks, crypto, and commodities at 20 to 50x leverage, bringing an entire new asset class to the mainstream. Robinhood is all in on DeFi. DeFi protocols spent a decade fighting for users. Robinhood just made a Morpho vault look like a savings account, in front of 27.7m funded customers. See the 15-minute highlights below and the full episode on the Tokenized Podcast youtube channel Full interview with Johann on bryton k. YouTube

Simon Taylor

349,520 views • 2 months ago

Hive Intelligence Launches Specialized Crypto Agents Hive Intelligence has released a suite of 17 specialized crypto agents that extend Claude Code's capabilities for professional crypto development and analysis. Extending Claude Code for Crypto Work Claude Code, Anthropic's command-line coding tool, now has access to specialized crypto intelligence through Hive's agent framework. These 17 agents work alongside SuperClaude's 14 base development agents, bringing the total available agent count to 31. The key difference: instead of generic AI responses to crypto queries, developers now have access to specialized agents trained for specific blockchain domains, from smart contract auditing to MEV research to DeFi strategy optimization. How the Agents Work After installation, the agents operate automatically based on query context. When you ask Claude Code to perform crypto-related tasks, the appropriate specialist agent is invoked: - "Audit this smart contract" → Crypto Security Researcher - "Find yield farming opportunities on Ethereum" → Crypto DeFi Strategist - "Analyze this wallet's transaction history" → Crypto Wallet Detective - "Identify arbitrage opportunities across DEXs" → Crypto DEX Arbitrageur No manual agent selection required. The system recognizes the task and routes it to the appropriate specialist. The 17 Specialized Agents Market & Trading Intelligence (4 agents) Crypto Quant: Mathematical models, algorithmic trading strategies, statistical arbitrage, and quantitative risk modeling. Crypto Market Researcher: Fundamental analysis, market trends, institutional adoption tracking, and regulatory landscape monitoring. Crypto Derivatives Trader: Futures and perpetuals analysis, options strategies, leverage management, and derivatives market intelligence. Crypto DEX Arbitrageur: Cross-exchange arbitrage identification, MEV strategy development, and automated profit extraction techniques. DeFi & Liquidity (4 agents) Crypto DeFi Strategist: Yield farming optimization, protocol analysis, liquidity provision strategies, and DeFi portfolio management. Crypto Liquidity Manager: Pool optimization, impermanent loss calculation and mitigation, market making strategies, and capital efficiency analysis. Crypto Governance Analyst: DAO structure evaluation, governance token analysis, proposal assessment, and voting mechanism research. Crypto Bridge Analyst: Cross-chain bridge security assessment, protocol comparison, interoperability solutions, and bridge risk evaluation. Security & Risk (3 agents) Crypto Security Researcher: Smart contract auditing, vulnerability detection, honeypot identification, and exploit pattern recognition. Crypto Security Engineer: Secure contract development practices, defensive programming patterns, and security implementation guidance. Crypto Risk Manager: Portfolio risk assessment, compliance monitoring, exposure analysis, and risk mitigation strategy development. On-Chain Analysis (3 agents) Crypto Wallet Detective: Blockchain forensics, wallet behavior analysis, transaction tracing, and entity identification across chains. Crypto On-chain Analyst: Transaction pattern analysis, wallet clustering, flow tracking, and on-chain metrics interpretation. Crypto MEV Researcher: MEV opportunity detection, flashloan arbitrage analysis, sandwich attack identification, and MEV protection strategies. Specialized Intelligence (3 agents) Crypto NFT Specialist: Collection valuation, rarity analysis, marketplace trends, and NFT ecosystem intelligence. Crypto Stablecoin Analyst: Peg stability monitoring, collateral analysis, depegging risk assessment, and stablecoin mechanism evaluation. Crypto Social Sentiment: Social media sentiment tracking, influencer monitoring, trending topic identification, and community analysis. Data Coverage: - 60+ blockchain networks - 2,000+ DeFi protocols - Real-time DEX data - CEX trading metrics - Social sentiment feeds - NFT marketplace data Compatibility: Works seamlessly with SuperClaude's existing agent framework. No configuration conflicts or manual routing needed. Practical Applications Smart Contract Development Security agents can audit contracts during development, identifying reentrancy risks, access control issues, and common vulnerabilities before deployment. DeFi Research Strategy agents query real-time pool data across networks, calculate yield-adjusted returns, and assess risks like impermanent loss or smart contract exposure. Trading Analysis Market agents access derivatives data, funding rates, liquidation levels, and order book depth across exchanges for informed trading decisions. Forensic Investigation On-chain agents trace fund flows, identify connected addresses, and analyze transaction patterns for security research or compliance work. Portfolio Management Risk agents evaluate protocol exposure, assess tail risks, and monitor positions across multiple chains and protocols. Why Specialized Agents Matter Generic AI models lack the domain-specific knowledge required for professional crypto work. A general-purpose AI might provide surface-level analysis of a smart contract, but a specialized security agent understands Solidity patterns, common exploits, and auditing methodologies. The agent framework solves this by routing tasks to specialists with deep domain knowledge: - A derivatives question goes to an agent trained on perpetuals, funding rates, and options greeks - A DeFi query reaches an agent that understands liquidity mathematics and protocol mechanics - A security audit is handled by an agent familiar with vulnerability patterns and exploit techniques This specialization produces more accurate, actionable insights than single-model approaches. Getting Started The agents are available now through npm. Requirements: - Node.js 16+ - Claude Code installed - No additional dependencies After installation, simply use Claude Code normally. When you ask crypto-related questions or request blockchain analysis, the appropriate agent is automatically invoked. The system handles routing, data retrieval, and response generation. Documentation covers individual agent capabilities, example queries, and integration patterns for different workflows. What This Enables With 17 specialized crypto agents, Claude Code becomes a comprehensive blockchain development and analysis environment: - Developers can audit contracts, optimize gas usage, and implement security patterns - Researchers can analyze protocols, compare yields, and assess risks - Traders can evaluate markets, identify opportunities, and manage positions - Security professionals can investigate exploits, trace funds, and assess vulnerabilities The agents provide access to blockchain data and specialized analysis that previously required multiple tools, APIs, and manual research. ghive.

Hive Intelligence Launches Specialized Crypto Agents Hive Intelligence has released a suite of 17 specialized crypto agents that extend Claude Code's capabilities for professional crypto development and analysis. Extending Claude Code for Crypto Work Claude Code, Anthropic's command-line coding tool, now has access to specialized crypto intelligence through Hive's agent framework. These 17 agents work alongside SuperClaude's 14 base development agents, bringing the total available agent count to 31. The key difference: instead of generic AI responses to crypto queries, developers now have access to specialized agents trained for specific blockchain domains, from smart contract auditing to MEV research to DeFi strategy optimization. How the Agents Work After installation, the agents operate automatically based on query context. When you ask Claude Code to perform crypto-related tasks, the appropriate specialist agent is invoked: - "Audit this smart contract" → Crypto Security Researcher - "Find yield farming opportunities on Ethereum" → Crypto DeFi Strategist - "Analyze this wallet's transaction history" → Crypto Wallet Detective - "Identify arbitrage opportunities across DEXs" → Crypto DEX Arbitrageur No manual agent selection required. The system recognizes the task and routes it to the appropriate specialist. The 17 Specialized Agents Market & Trading Intelligence (4 agents) Crypto Quant: Mathematical models, algorithmic trading strategies, statistical arbitrage, and quantitative risk modeling. Crypto Market Researcher: Fundamental analysis, market trends, institutional adoption tracking, and regulatory landscape monitoring. Crypto Derivatives Trader: Futures and perpetuals analysis, options strategies, leverage management, and derivatives market intelligence. Crypto DEX Arbitrageur: Cross-exchange arbitrage identification, MEV strategy development, and automated profit extraction techniques. DeFi & Liquidity (4 agents) Crypto DeFi Strategist: Yield farming optimization, protocol analysis, liquidity provision strategies, and DeFi portfolio management. Crypto Liquidity Manager: Pool optimization, impermanent loss calculation and mitigation, market making strategies, and capital efficiency analysis. Crypto Governance Analyst: DAO structure evaluation, governance token analysis, proposal assessment, and voting mechanism research. Crypto Bridge Analyst: Cross-chain bridge security assessment, protocol comparison, interoperability solutions, and bridge risk evaluation. Security & Risk (3 agents) Crypto Security Researcher: Smart contract auditing, vulnerability detection, honeypot identification, and exploit pattern recognition. Crypto Security Engineer: Secure contract development practices, defensive programming patterns, and security implementation guidance. Crypto Risk Manager: Portfolio risk assessment, compliance monitoring, exposure analysis, and risk mitigation strategy development. On-Chain Analysis (3 agents) Crypto Wallet Detective: Blockchain forensics, wallet behavior analysis, transaction tracing, and entity identification across chains. Crypto On-chain Analyst: Transaction pattern analysis, wallet clustering, flow tracking, and on-chain metrics interpretation. Crypto MEV Researcher: MEV opportunity detection, flashloan arbitrage analysis, sandwich attack identification, and MEV protection strategies. Specialized Intelligence (3 agents) Crypto NFT Specialist: Collection valuation, rarity analysis, marketplace trends, and NFT ecosystem intelligence. Crypto Stablecoin Analyst: Peg stability monitoring, collateral analysis, depegging risk assessment, and stablecoin mechanism evaluation. Crypto Social Sentiment: Social media sentiment tracking, influencer monitoring, trending topic identification, and community analysis. Data Coverage: - 60+ blockchain networks - 2,000+ DeFi protocols - Real-time DEX data - CEX trading metrics - Social sentiment feeds - NFT marketplace data Compatibility: Works seamlessly with SuperClaude's existing agent framework. No configuration conflicts or manual routing needed. Practical Applications Smart Contract Development Security agents can audit contracts during development, identifying reentrancy risks, access control issues, and common vulnerabilities before deployment. DeFi Research Strategy agents query real-time pool data across networks, calculate yield-adjusted returns, and assess risks like impermanent loss or smart contract exposure. Trading Analysis Market agents access derivatives data, funding rates, liquidation levels, and order book depth across exchanges for informed trading decisions. Forensic Investigation On-chain agents trace fund flows, identify connected addresses, and analyze transaction patterns for security research or compliance work. Portfolio Management Risk agents evaluate protocol exposure, assess tail risks, and monitor positions across multiple chains and protocols. Why Specialized Agents Matter Generic AI models lack the domain-specific knowledge required for professional crypto work. A general-purpose AI might provide surface-level analysis of a smart contract, but a specialized security agent understands Solidity patterns, common exploits, and auditing methodologies. The agent framework solves this by routing tasks to specialists with deep domain knowledge: - A derivatives question goes to an agent trained on perpetuals, funding rates, and options greeks - A DeFi query reaches an agent that understands liquidity mathematics and protocol mechanics - A security audit is handled by an agent familiar with vulnerability patterns and exploit techniques This specialization produces more accurate, actionable insights than single-model approaches. Getting Started The agents are available now through npm. Requirements: - Node.js 16+ - Claude Code installed - No additional dependencies After installation, simply use Claude Code normally. When you ask crypto-related questions or request blockchain analysis, the appropriate agent is automatically invoked. The system handles routing, data retrieval, and response generation. Documentation covers individual agent capabilities, example queries, and integration patterns for different workflows. What This Enables With 17 specialized crypto agents, Claude Code becomes a comprehensive blockchain development and analysis environment: - Developers can audit contracts, optimize gas usage, and implement security patterns - Researchers can analyze protocols, compare yields, and assess risks - Traders can evaluate markets, identify opportunities, and manage positions - Security professionals can investigate exploits, trace funds, and assess vulnerabilities The agents provide access to blockchain data and specialized analysis that previously required multiple tools, APIs, and manual research. ghive.

Hive Intelligence

80,532 views • 10 months ago