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šŸš€The ChainOpera MCP Servers are live. This isnā€™t just another node on a networkā€”this is a step toward decentralizing OpenAI itself. Owned. Operated. Coordinated. By you. Todayā€™s MCP launch gives anyone the power to run and sync agent-based AI models across a mesh of independent compute. Itā€™s messy. Itā€™s...

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ChainOpera AI

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10,164 views ā€¢ 1 year ago ā€¢via X (Twitter)

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Anthropic just announced itā€™s donating MCP to the Linux Foundation, under a new Agentic AI Foundation called āœØAAIFāœØ, co-founded by Anthropic, OpenAI, and Block. So itā€™s not just one announcementā€¦ itā€™s actually two ā€¦ hereā€™s a quick breakdown: 1ļøāƒ£ MCP moves to the Linux Foundation MCP launched just a year ago and already has over 97 million SDK downloads. By donating it to the Linux Foundation, MCP becomes open, vendor-neutral, and community-governed ā€” which is exactly what a widely adopted protocol needs to scale. 2ļøāƒ£ The launch of AAIF The Linux Foundation just launched a new Agentic AI Foundation - AAIF - and MCP is one of its founding contributions but there are 2 others: Itā€™s joined by Blockā€™s goose framework and OpenAIā€™s AGENTS specā€¦..creating a shared home for open-source agent standards ā¤ļøšŸ” šŸ“– Official announcement:
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550,871 views ā€¢ 1 year ago

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The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. šŸ”¹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. šŸ”¹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOperaā€™s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. šŸ”„ Co-Create. Co-Own. COAI.
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What a year. šŸš€ 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. šŸš€ Biggest highlights from 2025 āœ…- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the ā€œbrowser for the DeAI era,ā€ the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. āœ…- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong productā€“market fit and real, sustained usage at scale. āœ…- Announcing Coco: the worldā€™s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agentā€”optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. āœ…- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. āœ…- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement ā€“ reflecting growing confidence in the long-term vision of collaborative intelligence. āœ…- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. āœ…- Community momentum at scale: Community remained the heart of ChainOpera AIā€™s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. āœ…- ā€œAI for Marketsā€ taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agentsā€”early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. āœ…- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! šŸ§­ What weā€™re excited about in the coming year šŸ”¹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. šŸ”¹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. šŸ”¹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. šŸ”¹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOperaā€™s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. šŸ”„ Co-Create. Co-Own. COAI.

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17,042 views ā€¢ 7 months ago

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2:19

Big News! Block Convey Drive is Here! šŸš€ Your Web3 Drive: Decentralized, Secure, Limitless A Bold Step Toward a Stronger, Safer Future Weā€™re thrilled to announce the launch of Block Convey Drive - Block Convey Drive offers secure, decentralized storage solutions tailored for web 3. Our AI assistant - Convey AI - helps your extract information from documents, interacts with you and gives your more personalized feel that GPT Why Choose Block Convey Drive? Block Convey Drive - 20 GB (Free Tier) Decentralized Freedom ā€¢ 33% more free storage than Google Drive Free Tier ā€¢ True data ownership ā€¢ Blockchain-verified security ā€¢ NFT-based asset tracking Advanced Technology, Simple Experience -Decentralized Security -Automated Key Management -NFT-Based Tracking Weā€™ve worked hard to bring this innovation to life, and weā€™re thrilled to share it with the world. But we need YOUR support to make a bigger impact! šŸ’™ šŸ‘‰ Check out our launch on Product Hunt here: šŸ’¬ Share your feedback, and if you love what you see, weā€™d be honored to have your upvote ! Together, letā€™s reshape the future of data storage and management. šŸš€ #BlockConveyDrive #DecentralizedStorage #AI #ProductLaunch

Atul Kumar

13,644 views ā€¢ 1 year ago

āš”Why Edge Compute Matters for the Future of Agentic AI AI isnā€™t just about smarter models, itā€™s about where they run. Centralized clouds are costly, slow, and controlled by a few. Thatā€™s not the future. šŸ‘‰Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that donā€™t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.
0:29

āš”Why Edge Compute Matters for the Future of Agentic AI AI isnā€™t just about smarter models, itā€™s about where they run. Centralized clouds are costly, slow, and controlled by a few. Thatā€™s not the future. šŸ‘‰Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that donā€™t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

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43,620 views ā€¢ 11 months ago

new chapter begins: a terminal for the agentic future, built on blockchain, powered by AI. This is our marketplaceā€”a glimpse of what AGI will mean for crypto. Today, we launch 3 agentsā€”Image Generation, Token Swap Agent, & Blockchain Tax Estimate Agentā€”out of hundreds to come. We see an agentic future where AI guides every step: buying online, managing finances, transacting globally. FOMOā€™s here to make that real, with experts at your side. Our Model Context Protocol (MCP) ties it togetherā€”agents talking, reasoning, scaling across crypto and DeFi. Itā€™s orchestration with a brain, evolving daily. FOMOā€™s not just building tools; weā€™re pushing intelligent automation into blockchainā€™s core. Our Model Context Protocol (MCP) is the backbone. Think of it as a conductor for AI agentsā€”each runs its own logic (workflows, API calls, LLMs), but MCP syncs them on-chain. Agents share context via a lightweight event bus, logged to a blockchain ledger. Agent A (say, Market Analysis) pulls stock data, flags trends. Agent B (Email Sales) reads that, drafts outreachā€”both talk through MCPā€™s orchestration layer. We use Web3 hooks to settle fees or split revenue, all transparent. Itā€™s messy, but it scales. Under the hood: MCP leans on a pub-sub modelā€”agents publish tasks, others subscribe. Weā€™re training them with RL loops to optimize gas costs and response times. Goal? A self-tuning swarm of agents reasoning over DeFi, NFTs, whateverā€™s next. This is FOMOā€™s bet on AGI. Welcome to the new FOMO. Weā€™re not just building toolsā€”weā€™re wiring AI into cryptoā€™s future, agent by agent. A leader in blockchain intelligence, starting here. Join us as we push the boundaries.
1:16

new chapter begins: a terminal for the agentic future, built on blockchain, powered by AI. This is our marketplaceā€”a glimpse of what AGI will mean for crypto. Today, we launch 3 agentsā€”Image Generation, Token Swap Agent, & Blockchain Tax Estimate Agentā€”out of hundreds to come. We see an agentic future where AI guides every step: buying online, managing finances, transacting globally. FOMOā€™s here to make that real, with experts at your side. Our Model Context Protocol (MCP) ties it togetherā€”agents talking, reasoning, scaling across crypto and DeFi. Itā€™s orchestration with a brain, evolving daily. FOMOā€™s not just building tools; weā€™re pushing intelligent automation into blockchainā€™s core. Our Model Context Protocol (MCP) is the backbone. Think of it as a conductor for AI agentsā€”each runs its own logic (workflows, API calls, LLMs), but MCP syncs them on-chain. Agents share context via a lightweight event bus, logged to a blockchain ledger. Agent A (say, Market Analysis) pulls stock data, flags trends. Agent B (Email Sales) reads that, drafts outreachā€”both talk through MCPā€™s orchestration layer. We use Web3 hooks to settle fees or split revenue, all transparent. Itā€™s messy, but it scales. Under the hood: MCP leans on a pub-sub modelā€”agents publish tasks, others subscribe. Weā€™re training them with RL loops to optimize gas costs and response times. Goal? A self-tuning swarm of agents reasoning over DeFi, NFTs, whateverā€™s next. This is FOMOā€™s bet on AGI. Welcome to the new FOMO. Weā€™re not just building toolsā€”weā€™re wiring AI into cryptoā€™s future, agent by agent. A leader in blockchain intelligence, starting here. Join us as we push the boundaries.

FOMO

26,338 views ā€¢ 1 year ago

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. Youā€™ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Hereā€™s what youā€™ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropicā€™s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!
2:43

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. Youā€™ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Hereā€™s what youā€™ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropicā€™s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,137 views ā€¢ 1 year ago

The next evolution of the OptimAI Core Node is coming, and itā€™s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: šŸ” What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems šŸ’” Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. āš” Weā€™re not just building tools - weā€™re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. šŸ’Ŗ The more you contribute, the more you earn. Letā€™s BUIDL the future of AI together.
0:31

The next evolution of the OptimAI Core Node is coming, and itā€™s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: šŸ” What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems šŸ’” Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. āš” Weā€™re not just building tools - weā€™re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. šŸ’Ŗ The more you contribute, the more you earn. Letā€™s BUIDL the future of AI together.

OptimAI Network

50,452 views ā€¢ 11 months ago

sam altman, ceo of openAI, said: ā€œitā€™s now very much possible to build a one-man billion dollar company.ā€ the best thing you can do for yourself right now is bet on AI, weā€™re nowhere near the saturation point. thereā€™s no better time to start your solopreneur journey than today. in the article below, I broke down 5 AI business models you can start right now. give it a read and start your journey.
1:44

sam altman, ceo of openAI, said: ā€œitā€™s now very much possible to build a one-man billion dollar company.ā€ the best thing you can do for yourself right now is bet on AI, weā€™re nowhere near the saturation point. thereā€™s no better time to start your solopreneur journey than today. in the article below, I broke down 5 AI business models you can start right now. give it a read and start your journey.

m0h

14,478 views ā€¢ 3 months ago

Not a dev. Not a researcher. Weā€™re just a human with internet access. So how do we even help AI get better? PublicAI lets you help train AI, and actually earn from it! šŸŽ™ļø Talk. Type. Share content. šŸ§  Your data = training fuel šŸ’ø You get a cut. This is how the next wave of AI is being built: by all of us.
0:51

Not a dev. Not a researcher. Weā€™re just a human with internet access. So how do we even help AI get better? PublicAI lets you help train AI, and actually earn from it! šŸŽ™ļø Talk. Type. Share content. šŸ§  Your data = training fuel šŸ’ø You get a cut. This is how the next wave of AI is being built: by all of us.

Bibs šŸŽ®

165,724 views ā€¢ 1 year ago

Weā€™re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: āœ…Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more āœ…Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) āœ…Stores data on your machine, fully private āœ…Offers a centralized dashboard for visibility and control āœ…Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. Weā€™ve put together a short demo to show how it works Check it out in the links below šŸ‘‡
2:24

Weā€™re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: āœ…Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more āœ…Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) āœ…Stores data on your machine, fully private āœ…Offers a centralized dashboard for visibility and control āœ…Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. Weā€™ve put together a short demo to show how it works Check it out in the links below šŸ‘‡

Taranjeet

471,972 views ā€¢ 1 year ago

Built something with the goal of not leaving anyone behind. Now need some testers for this soft-launch. Check it out at Build whatever you can think of. Don't have any ideas? Just talk with your new team. Designed to get you away from the screens, not glued to them. Works great on mobile. Full real world capabilities. The free tier is perfect for people looking to get into AI and learn what its all about. The 'Empir3 Bridge' is for more advanced users and can power the whole empir3 team with your AI subscriptions... Grok, Claude, OpenAI, Google, or your local LLM. Everything runs local making it TOS friendly. Make them all work together in that same session. Fully opensource on GitHub You can use it with or without empir3. Full MCP, just point your AI at that repo and it will set it up. MIT license. New features weekly. *limited space and time until providers give me more channels.
2:00

Built something with the goal of not leaving anyone behind. Now need some testers for this soft-launch. Check it out at Build whatever you can think of. Don't have any ideas? Just talk with your new team. Designed to get you away from the screens, not glued to them. Works great on mobile. Full real world capabilities. The free tier is perfect for people looking to get into AI and learn what its all about. The 'Empir3 Bridge' is for more advanced users and can power the whole empir3 team with your AI subscriptions... Grok, Claude, OpenAI, Google, or your local LLM. Everything runs local making it TOS friendly. Make them all work together in that same session. Fully opensource on GitHub You can use it with or without empir3. Full MCP, just point your AI at that repo and it will set it up. MIT license. New features weekly. *limited space and time until providers give me more channels.

ZĀ®

24,023 views ā€¢ 12 days ago