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🚨 stop rebuilding your agent harness. langchain just open-sourced the finished one. free sub-agent spawning, todo-list planning, a virtual filesystem, durable runs on LangGraph. batteries included. it's called deepagents. the exact harness you keep re-inventing - already done. 26,000+ stars. MIT. one install. you were about to build this...

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Granite

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177,772 просмотров • 3 дней назад •via X (Twitter)

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GPT-Engineer is insane. Simply specify what you want to build with a prompt, and the AI agent builds the entire codebase. It's completely free and open-source, and it's already at nearly 17,000 stars on GitHub 🤯
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GPT-Engineer is insane. Simply specify what you want to build with a prompt, and the AI agent builds the entire codebase. It's completely free and open-source, and it's already at nearly 17,000 stars on GitHub 🤯

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In one week this June, Peter Steinberger Peter Steinberger 🦞 , Boris Cherny Boris Cherny , and Addy Osmani Addy Osmani all pointed at the same shift and gave it a name: loop engineering. It's the floor above the harness. You stop prompting the agent and build the system that pokes it for you. I wrote a free book about it. 👇
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In one week this June, Peter Steinberger Peter Steinberger 🦞 , Boris Cherny Boris Cherny , and Addy Osmani Addy Osmani all pointed at the same shift and gave it a name: loop engineering. It's the floor above the harness. You stop prompting the agent and build the system that pokes it for you. I wrote a free book about it. 👇

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🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott fks CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings programmable harness right into your agents rather than DIY plumbing. Python ecosystem already has 🦾 powerful AI/ML tools and frameworks and research initiatives but most frameworks asked users to build your own harness. Superagentic AI bringing this concept of Flue to Python 🐍 ecosystem. Here is PyFlue even even better 🤖 Agent = Model 💻 + Harness 🧰 + Memory 🧠 Almost all the feature of Flue plugged with LangChain Deepagents harness built by Harrison Chase and team Viv Sydney Runkle and more coming soon. 👉 Stop building agent loops, start using a harness. 💻 Try PyFlue Now : ⭐️ GitHub: 📚Docs: 📙 Blog Post: #HarnessEngineering #AgentHarnesses
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🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott fks CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings programmable harness right into your agents rather than DIY plumbing. Python ecosystem already has 🦾 powerful AI/ML tools and frameworks and research initiatives but most frameworks asked users to build your own harness. Superagentic AI bringing this concept of Flue to Python 🐍 ecosystem. Here is PyFlue even even better 🤖 Agent = Model 💻 + Harness 🧰 + Memory 🧠 Almost all the feature of Flue plugged with LangChain Deepagents harness built by Harrison Chase and team Viv Sydney Runkle and more coming soon. 👉 Stop building agent loops, start using a harness. 💻 Try PyFlue Now : ⭐️ GitHub: 📚Docs: 📙 Blog Post: #HarnessEngineering #AgentHarnesses

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You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.
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You probably know OpenClaw🦞, one of the fastest-growing open-source projects around. An OpenClaw harness lets you build, code, analyze, and take real control of your machine. But the more access an agent has to your machine, the more it matters where your data goes & who can see it. With QVAC, you can run your OpenClaw agent fully on your own machine in a few minutes. Nothing leaves your computer. Full setup guide on the blog, see first comment below. 💡 Pro tip: already running OpenClaw? Send the blog article to your agent and let the it do the set up.

QVAC

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You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @​Cursor on any spec or assign it a task to open a PR your whole team can review.

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Hermes Agent just got an update nobody is talking about. And it replaced all my paid tools. It is now free forever. It runs a local model called North Mini Code. You can build games like Skyrim or Matrix stuff fast. It is simple and runs on our Agent OS system. Get clear steps and real results today. Comment Agent OS to get the full free guide sent to you right now.

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Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

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Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓
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Google just released free 2-hour course on full agent engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 38:46 - build your first agent 30% → 54:46 - connect MCP tools 55% → 1:12:43 - Loop engineering: 4 ways to run agents 70% → 1:20:57 - Graph engineering 100% → 2:22:31 - the full system that works while you sleep most people build one agent and stop there - this is the full path to a system that runs without you from scratch watch it today - then read the full graph engineering playbook below ↓

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China just dropped a free AI super agent that can build software for you. It’s called DeerFlow 2.0. And it’s exploding on GitHub right now. This thing doesn’t just chat. You give it a goal. - It researches the problem. - Writes the code. - Creates files. - Launches sub-agents. Then delivers a finished result. Basically… an AI dev team in one tool.

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231,446 просмотров • 4 месяцев назад

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GREG ISENBERG

508,595 просмотров • 1 месяц назад

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small local model that falls apart in bloated agents like openclaw just runs like a wild horse in hermes agent. and that's not even my line, someone else called it that, i've just been quietly pointing people at this harness for months because it held up on everything i threw at it, 3b models all the way to one trillion params. watch this happen on my own machine. i pointed hermes agent at a local http endpoint, gemma 4 12b on my 3090 llama.cpp server, and it auto-detected the model and started working immediately. no config wrestling, no broken tool calls, no babysitting the output format, i typed in a url and it just went. the whole clip is exactly that, start to finish, no errors, no retries, butter smooth. and the tool calling, the one thing that quietly breaks most local setups, works here like it's nothing. it's not the model that's flaky, it's the harness around it. hermes agent is the first agent i've run that actually gets that right. one url, one local model on one card, and it runs like a wild horse.

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🔥 +100,000 tasks already completed by our AI Agent, Runner H! What's the most mind-blowing things it's done for you? Some ideas: 1️⃣ Get a one-tap weekly recap on WhatsApp : Runner H scans your calendar and sends you a summary, all from a single prompt. Try it now here →

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⭐️ New LangChain Academy Course: LangGraph Essentials (Python & TypeScript)⭐️ Learn the basics of LangGraph – our low-level orchestration framework purpose-built for building AI agents. Last week, we launched LangGraph 1.0, marking its first major stable release. LangGraph allows you to control every step of your agent’s workflow. It supports memory, human-in-the-loop interactions, and durable execution for managing long-running tasks. In this quickstart course, you'll learn how to: - Create simple workflows and build an agent - Use LangGraph’s core building blocks: State, Nodes, and Edges - Add memory to your agent - Incorporate human-in-the-loop interactions Enroll for free ➡️

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53,969 просмотров • 9 месяцев назад

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Not one, but six new Agent Skills! Early adopters improved Xcode build times by 78%. After weeks of work, I launched my latest Agent Skill at Let’s Vision in Shanghai. Here’s how it works: It runs 3 clean + 3 incremental builds It analyzes build logs and project settings It proposes an optimization plan It applies improvements after you approve It re-benchmarks and reports the improvement All free → try it on your Xcode projects. Let me know how it goes in the replies, and open a PR if you add your results to the README!

Antoine v.d. SwiftLee 

128,959 просмотров • 4 месяцев назад

Loop Engineering is getting hype now. But not many talks about how to actually do it So I open-sourced the template my team uses to build agent loops: - a shared artifact / knowledge layer - logging, verification - and a codebase harness so work compounds across runs Plus a 20-min deep dive on how to think about it and set it up for real: Copy the template. Adapt it to your own loops.
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Loop Engineering is getting hype now. But not many talks about how to actually do it So I open-sourced the template my team uses to build agent loops: - a shared artifact / knowledge layer - logging, verification - and a codebase harness so work compounds across runs Plus a 20-min deep dive on how to think about it and set it up for real: Copy the template. Adapt it to your own loops.

Jason Zhou

390,955 просмотров • 1 месяц назад

🤯 YOUR AGENT NOW READS THE ENTIRE INTERNET WITHOUT A SINGLE API KEY someone open-sourced this repo. it replaces $300/mo in paid APIs Agent Reach. #1 Repository of the Day on GitHub trending. 63,165 stars install it - and your agent reads: - any web page → clean markdown - YouTube → captions and search, plus 1800+ video sites - GitHub → repos, issues, search - X → timeline, search, full posts - Reddit → threads and comments - LinkedIn, Instagram, Facebook - RSS and semantic search across the whole web no keys. no subscriptions. important: your cookies stay on your machine. they never leave your agent has been guessing about the internet this whole time. save this before your next research task ↓
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🤯 YOUR AGENT NOW READS THE ENTIRE INTERNET WITHOUT A SINGLE API KEY someone open-sourced this repo. it replaces $300/mo in paid APIs Agent Reach. #1 Repository of the Day on GitHub trending. 63,165 stars install it - and your agent reads: - any web page → clean markdown - YouTube → captions and search, plus 1800+ video sites - GitHub → repos, issues, search - X → timeline, search, full posts - Reddit → threads and comments - LinkedIn, Instagram, Facebook - RSS and semantic search across the whole web no keys. no subscriptions. important: your cookies stay on your machine. they never leave your agent has been guessing about the internet this whole time. save this before your next research task ↓

Granite

206,845 просмотров • 1 день назад