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RAG with no access control? Agents calling APIs with no auth? That ends now. Auth for GenAI brings identity to AI agents. 🔥 🧠 RAG access checks 🔐OAuth2 ➕ token refresh 🪪Login ➕ account linking 👥Async approvals

Auth0

37,659 subscribers

38,968 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 7

Фото профиля Auth0

Auth01 год назад

Try it now 👉🏾 Learn More 👉🏾

Фото профиля Alger

Alger1 год назад

Looking to invest in the Enablers and Adopters of AI? Consider an actively managed fund investing in companies actively involved in developing and implementing AI technologies.

Фото профиля Catalin

Catalin1 год назад

The more capable and autonomous AI agents, the more their potential for error grows. So, this is really cool and a much needed product.

Фото профиля Tobiloba🥑

Tobiloba🥑1 год назад

This is dope af!

Фото профиля ShreyTheCray

ShreyTheCray1 год назад

Such a cool video

Фото профиля jc_stack

jc_stack1 год назад

@LangChainAI Smart to prioritize access control. Have you considered TEE integration for agent auth? Would love to hear about latency impact on agent ops - critical for DeFi use cases

Фото профиля Robo Riley

Robo Riley1 год назад

It's essential for AI agents to have identity. Implementing robust authentication enhances security for API interactions.

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Agents should have access to every system. Introducing Integuru: generate fast, reliable APIs for any platform⚡️ API calls complete in ~3 seconds with 99.9%+ success. No browsers or RPA. No data caching needed. With auth support. Integuru is free to use. Thread below.

Agents should have access to every system. Introducing Integuru: generate fast, reliable APIs for any platform⚡️ API calls complete in ~3 seconds with 99.9%+ success. No browsers or RPA. No data caching needed. With auth support. Integuru is free to use. Thread below.

Richard Zhang

43,248 просмотров • 2 месяцев назад

Portkey's MCP Gateway is now GA. MCP has truly exploded. Trillions of tokens flow through our infra every month. Agents can finally do things: hit databases, trigger workflows, access internal systems. But auth is fragmented. There's no access control. And once multiple agents are involved, it's impossible to know what can access what. Today we're fixing that. One line to connect any MCP server. Centralized authentication. Fine-grained access control by team, by tool, by action. Full observability on every tool call. Platform teams can finally say yes to agents without losing sleep. Already live with Fortune 50.

Portkey's MCP Gateway is now GA. MCP has truly exploded. Trillions of tokens flow through our infra every month. Agents can finally do things: hit databases, trigger workflows, access internal systems. But auth is fragmented. There's no access control. And once multiple agents are involved, it's impossible to know what can access what. Today we're fixing that. One line to connect any MCP server. Centralized authentication. Fine-grained access control by team, by tool, by action. Full observability on every tool call. Platform teams can finally say yes to agents without losing sleep. Already live with Fortune 50.

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Frictionless onchain data access for AI agents. Live today on Dune, built on MPP with Stripe and Tempo 🌊 No subscription. No account. No human in the loop. Agents pay per query across 130+ chains — stablecoin flows, DEX volumes, wallet activity, and more. Tempo chain data coming to Dune soon.

Frictionless onchain data access for AI agents. Live today on Dune, built on MPP with Stripe and Tempo 🌊 No subscription. No account. No human in the loop. Agents pay per query across 130+ chains — stablecoin flows, DEX volumes, wallet activity, and more. Tempo chain data coming to Dune soon.

Dune

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The future of ecommerce intelligence is here. Meet Moby Agents 🤝 AI agents will redefine how teams operate, and we’re leading the charge with the first AI agents built for ecommerce intelligence. Imagine AI agents supporting your entire business with… 🧠 Deep ecommerce expertise 💻 Full access + context to all your business data 👀 Real-time insights, recommendations, and anomaly detection on autopilot Deploy 24/7 AI agents that unlock insights you couldn’t access before—making your business smarter, faster, and more efficient. Want in? We’re opening 100 exclusive spots for Triple Whale customers. Check out the comments to request a demo now.

Triple Whale 🐳

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The MCP finally has proper authentication! It now supports OAuth 2.1 out of the box. That means proper authentication for AI agents and MCP tools is finally standardized. No more hacked-together API keys or custom token logic. With OAuth 2.1 + MCP, you can now: - Dynamically register clients - Issue & verify scoped JWT tokens - Track which agent acted for which user - Plug into existing IdPs (Auth0, Clerk, Firebase, etc.) I’ve been testing it with Scalekit, a lightweight OAuth layer built for MCP servers. It adds full discovery, token flow, and audit logs with minimal config. This is the missing piece for secure, multi-agent systems. Auth that actually works.

The MCP finally has proper authentication! It now supports OAuth 2.1 out of the box. That means proper authentication for AI agents and MCP tools is finally standardized. No more hacked-together API keys or custom token logic. With OAuth 2.1 + MCP, you can now: - Dynamically register clients - Issue & verify scoped JWT tokens - Track which agent acted for which user - Plug into existing IdPs (Auth0, Clerk, Firebase, etc.) I’ve been testing it with Scalekit, a lightweight OAuth layer built for MCP servers. It adds full discovery, token flow, and audit logs with minimal config. This is the missing piece for secure, multi-agent systems. Auth that actually works.

Arindam Majumder 𝕏

11,511 просмотров • 10 месяцев назад

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

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32,914 просмотров • 6 месяцев назад

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We’re excited to introduce AgentAuth—the comprehensive auth solution designed for AI agents! We understand the pain every developer experiences regarding authentication—managing OAuth flows for Gmail, handling API keys for Linear, or setting up permissions across multiple services. It's complex enough with traditional apps. However, AI agents add an extra layer of complexity. Traditional auth solutions were not designed with this agent-specific requirement in mind. Think about it—say you're building an agent to pull data from Salesforce, send updates through Slack, and log issues in GitHub. Each service requires different authentication—OAuth2, API keys, you name it—and your agent needs to work seamlessly on your users' behalf. Building and managing all that is a massive headache, right? That’s precisely where AgentAuth by comes in. • It supports 250+ apps across categories such as CRMs, ticketing, productivity, etc. • Compatible with 15+ Agentic Frameworks, including , LlamaIndex 🦙, CrewAI etc • Offers self-hosting and white-labeling options. • Provides a unified dashboard to monitor user accounts. It takes care of all the complex authentication flows—OAuth, API Key, Basic, JWT, token refresh, and more—in the backend, so you can focus on building what truly matters for your users. This is ideal for AI developers building real-world AI automation involving multiple application interactions. Check out AgentAuth now -

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86,826 просмотров • 1 месяц назад

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Oraichain

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 просмотров • 1 год назад

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

10,127 просмотров • 1 месяц назад

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

tyllen

350,927 просмотров • 2 лет назад

Someone built a tool where you paste an OpenAPI spec and get a fully stateful sandbox that actually behaves like production No local setup No real API costs It's called FetchSandbox The workflow does this : → explores Stripe APIs → runs workflows → triggers webhooks → verifies integrations end to end Works with GitHub, Stripe, Twilio, Shopify, ElevenLabs, Clerk, Paddle, and 45+ more APIs Now it supports an MCP server, letting Cursor & Claude explore APIs & run workflows directly from your IDE Perfect for AI agents, rapid prototyping & testing complex API workflows

Someone built a tool where you paste an OpenAPI spec and get a fully stateful sandbox that actually behaves like production No local setup No real API costs It's called FetchSandbox The workflow does this : → explores Stripe APIs → runs workflows → triggers webhooks → verifies integrations end to end Works with GitHub, Stripe, Twilio, Shopify, ElevenLabs, Clerk, Paddle, and 45+ more APIs Now it supports an MCP server, letting Cursor & Claude explore APIs & run workflows directly from your IDE Perfect for AI agents, rapid prototyping & testing complex API workflows

aditii

35,823 просмотров • 2 месяцев назад

OpenClaw Now Lives on Solana — Free AI Agents in Your Pocket We've integrated .molt domains with OpenClaw, bringing personal AI agents to the Solana ecosystem. Each .molt domain is a Metaplex Core NFT that unlocks your own AI agent instance. What you get: Wallet-based access — No accounts, no passwords. Connect your Solana wallet, prove NFT ownership, instant access Per-domain agents — Each domain NFT gets its own isolated AI agent with persistent memory Configure your channels — Set up Telegram, Discord, or Slack bots directly from the UI. Enter your bot token, click save, restart your agent Persistent storage — Your agent's memory and conversations persist in R2 storage, tied to your NFT The best part? It's free. You don't need a $600 MacBook. You don't need a $15/month VPS. You don't need to manage servers, Docker containers, or API keys. Just mint a .molt domain, connect your wallet, and you have OpenClaw in your pocket — accessible from any device, anywhere. Your domain. Your agent. Your data. All on-chain, all yours. Live on devnet:

OpenClaw Now Lives on Solana — Free AI Agents in Your Pocket We've integrated .molt domains with OpenClaw, bringing personal AI agents to the Solana ecosystem. Each .molt domain is a Metaplex Core NFT that unlocks your own AI agent instance. What you get: Wallet-based access — No accounts, no passwords. Connect your Solana wallet, prove NFT ownership, instant access Per-domain agents — Each domain NFT gets its own isolated AI agent with persistent memory Configure your channels — Set up Telegram, Discord, or Slack bots directly from the UI. Enter your bot token, click save, restart your agent Persistent storage — Your agent's memory and conversations persist in R2 storage, tied to your NFT The best part? It's free. You don't need a $600 MacBook. You don't need a $15/month VPS. You don't need to manage servers, Docker containers, or API keys. Just mint a .molt domain, connect your wallet, and you have OpenClaw in your pocket — accessible from any device, anywhere. Your domain. Your agent. Your data. All on-chain, all yours. Live on devnet:

Molt.id

315,047 просмотров • 6 месяцев назад

The ceo of Box says if you're not building for agents, you won't exist as a software company in 2-3 years. Aaron Levie recalled how in the 90s, it was mainframes built for institutions. If you didn't build for the CIO or IT org, you didn't exist. You could build software for users, but no one cared. Similarly, in the mid 2000s, it was software built for end users. If you didn't take that route, you got completely trounced. The likes of Yammer, Slack, Zoom, etc., ripped through enterprises with viral adoption. Bottom-up and completely user driven. And now it's software built for agents. We're going to have trillions of agent runs. The systems that optimize for agents the most will win. - lower latency - better API exposure - better system intelligence - serves the right information when called Agents will eventually choose their own tools on the fly and make purchasing decisions at runtime. All based on past experiences/online reviews/performance, sans any procurement process. The more pragmatic version is companies swapping out bad tools / tech that don't work well with agents. - crm doesn't expose the right APIs - auth can't handle agent scale requests - database has too much latency for agent workloads Being good enough for humans won't work because they have to pass the litmus test for agents to make the cut.

The ceo of Box says if you're not building for agents, you won't exist as a software company in 2-3 years. Aaron Levie recalled how in the 90s, it was mainframes built for institutions. If you didn't build for the CIO or IT org, you didn't exist. You could build software for users, but no one cared. Similarly, in the mid 2000s, it was software built for end users. If you didn't take that route, you got completely trounced. The likes of Yammer, Slack, Zoom, etc., ripped through enterprises with viral adoption. Bottom-up and completely user driven. And now it's software built for agents. We're going to have trillions of agent runs. The systems that optimize for agents the most will win. - lower latency - better API exposure - better system intelligence - serves the right information when called Agents will eventually choose their own tools on the fly and make purchasing decisions at runtime. All based on past experiences/online reviews/performance, sans any procurement process. The more pragmatic version is companies swapping out bad tools / tech that don't work well with agents. - crm doesn't expose the right APIs - auth can't handle agent scale requests - database has too much latency for agent workloads Being good enough for humans won't work because they have to pass the litmus test for agents to make the cut.

Ivan Burazin

22,655 просмотров • 3 месяцев назад

Today, Profound is excited to announce our $96M Series C at a $1B valuation, led by Lightspeed with participation from Sequoia Capital, Kleiner Perkins, Matt Miller, Saga and . When we started Profound 18 months ago, we had two fundamental beliefs about where marketing is heading: 1. Every company will care deeply about how AI talks about their brand. 2. Every marketer will use AI Agents to do their best work, faster. Those beliefs are becoming reality faster than we imagined. Now, we serve more than 10% of the Fortune 500 and are the number 1 leader on the G2 grid for AEO. To double down on that momentum, we’re taking two big swings: 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝘀: AI workers that take marketing teams from concept to execution. 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: certifications and cohort-based learning for marketers who want stay at the forefront of AI marketing. Reply with 𝗔𝗚𝗘𝗡𝗧 for free access to one of our most popular agents. No account required and no strings attached.

Dylan Babbs

612,544 просмотров • 5 месяцев назад

Today I'm lanching my secret openclaw agent I use 1000+ times daily you can use it for free tbh you don't need a 512GB Mac Studio to solve a Mission Control problem. I've been working on ShipClaw for the last 1.5 weeks after my software job. I've been in AI for the last 3 4 years and I know how to solve the Mission Control problem. You must solve 3 problems: → Every user has their own tenant → Every user has their own pairing ID so other members know which platform OpenClaw is used on → Mission Control AI Agent Orchestration That's how I solve these problems using Railway, Cloudflare, and infrastructure VPS in the cloud. Now users have their own identity, own auth, and own OpenClaw server that runs 24/7 with no cost. Why should you pay for a 512GB Mac Studio and give your computer access to OpenClaw? ❌ Stop doing that. Instead, invest in something that pays you in the long game. enjoy ❤️

Today I'm lanching my secret openclaw agent I use 1000+ times daily you can use it for free tbh you don't need a 512GB Mac Studio to solve a Mission Control problem. I've been working on ShipClaw for the last 1.5 weeks after my software job. I've been in AI for the last 3 4 years and I know how to solve the Mission Control problem. You must solve 3 problems: → Every user has their own tenant → Every user has their own pairing ID so other members know which platform OpenClaw is used on → Mission Control AI Agent Orchestration That's how I solve these problems using Railway, Cloudflare, and infrastructure VPS in the cloud. Now users have their own identity, own auth, and own OpenClaw server that runs 24/7 with no cost. Why should you pay for a 512GB Mac Studio and give your computer access to OpenClaw? ❌ Stop doing that. Instead, invest in something that pays you in the long game. enjoy ❤️

Umair Ali

33,453 просмотров • 4 месяцев назад

Today we open the Zapier SDK to everyone. If you're building with AI agents, this is for you. I've been using this for 2 months. It's totally changed how I do my job. You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access to 8,000+ apps through Zapier and can do anything those APIs can do. I think it’s the most powerful thing we’ve launched in years. Now in open beta. Just give this link right to your agent:

Today we open the Zapier SDK to everyone. If you're building with AI agents, this is for you. I've been using this for 2 months. It's totally changed how I do my job. You install it in your coding agent. Cursor, Claude Code, Codex, whatever you use. Now that agent has access to 8,000+ apps through Zapier and can do anything those APIs can do. I think it’s the most powerful thing we’ve launched in years. Now in open beta. Just give this link right to your agent:

Wade Foster

174,901 просмотров • 4 месяцев назад