ai-agent
Balance agent control with agency. Build resilient language agents as graphs.
Gain control with LangGraph to design agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform.
LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents. While langchain provides integrations and composable components to streamline LLM application development, the LangGraph library enables agent orchestration — offering customizable architectures, long-term memory, and human-in-the-loop to reliably handle complex tasks.
Related contents:
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities.
This is server that allows Claude desktop app to execute long-running terminal commands on your computer and manage processes through Model Context Protocol (MCP) + Built on top of MCP Filesystem Server to provide additional search and replace file editing capabilities .
Fleur is the app store for Claude. The easiest way to discover and install MCPs.
Fleur is a desktop application that serves as an app marketplace for MCPs. It allows you to discover, install, and manage apps that extend the functionality of Claude Desktop and Cursor.
All without having to use a command line. Fleur is made for non-technical users in mind, but is open-source and extensible so developers can make it their own.
Related contents:
MCP server for fetch web page content using Playwright headless browser.
Coding assistant MCP for Claude Desktop.
Make Claude Desktop a pair programming assistant by installing codemcp. With it, you can directly ask Claude to implement features, fix bugs and do refactors on a codebase on your computer; Claude will directly edit files and run tests. Say goodbye to copying code in and out of Claude's chat window!
Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Cloudflare's API.
This lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things on your Cloudflare account
Bringing Agentic AI to cloud native.
An open-source framework for DevOps and platform engineers to run AI agents in Kubernetes, automating complex operations and troubleshooting tasks.
Related contents:
Evolving agents is a production-grade environment for orchestrating, evolving, and managing AI agents.
A production-grade framework for creating, managing, and evolving AI agents with intelligent agent-to-agent communication. The framework enables you to build collaborative agent ecosystems that can semantically understand requirements, evolve based on past experiences, and communicate effectively to solve complex tasks.
An in-depth book and reference on building agentic systems like Claude Code. A deep-dive guide into architecture patterns for building responsive, reliable AI coding agents.
There's been a lot of asking about how Claude Code works under the hood. Usually, people see the prompts, but they don't see how it all comes together. This is that book. All of the systems, tools, and commands that go into building one of these.
A practical deep dive and code review into how to build a self-driving coding agent, execution engine, tools and commands. Rather than the prompts and AI engineering, this is the systems and design decisions that go into making agents that are real-time, self-corrective, and useful for productive work.
The Platform for Building Stateful Agents. Build agents with infinite context and human-like memory, that can learn from data and improve with experience. Letta (formerly MemGPT) is a framework for creating LLM services with memory.
👾 Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.
Related contents:
Finding the Scaling Laws of Agents. The first and the best multi-agent framework.
🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.
Go beyond nascent AI demos. The intelligent AI-native gateway for prompts and agentic apps.
Effortlessly build AI apps that can answer questions and help users get things done. Arch is the AI-native proxy that handles the pesky heavy-lifting so that you can move faster in building agentic apps, prevent harmful outcomes, and rapidly incorporate latest models.
AI-native (edge and LLM) proxy for agents. Move faster by letting Arch handle the pesky heavy lifting in building agentic apps -- ⚡️ query understanding and routing, seamless integration of prompts with tools, and unified access and observability of LLMs. Built by the contributors of Envoy proxy.
The agents.json Specification is an open specification that formally describes contracts for API and agent interactions, built on top of the OpenAPI standard.
The TypeScript framework for agents & workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend.
Build complex AI applications with React-like components. GenSX is a simple typescript framework for building agents and workflows with reusable React-like components. GenSX takes a lot of inspiration from React, but the programming model is very different - it’s a Node.js framework designed for data flow.
OpenAI just published Deep Research, a very nice assistant that can perform deep searches on the web to answer user questions.
However, their agent has a huge downside: it's not open. So we've started a 24-hour rush to replicate and open-source it. Our resulting open-Deep-Research agent took the #1 rank of any open submission on the GAIA leaderboard! ✨
Related contents:
Enable AI to control your browser. Make websites accessible for AI agents.
We make websites accessible for AI agents by extracting all interactive elements, so agents can focus on what makes their beer taste better.
Related contents:
LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows.
Related contents:
Build and ship AI products on a single, collaborative platform
Take AI products from early-stage ideas to production-grade features with tooling for experimentation, evaluation, deployment, monitoring, and collaboration.
Related contents:
The open-source visual AI programming environment and TypeScript library.
Rivet, the IDE for creating complex AI agents and prompt chaining, and embedding it in your application.
Related contents:
Enable generative AI applications to automate multistep tasks by seamlessly connecting with company systems, APIs, and data sources.
Related contents:
Your on-machine AI agent, automating engineering tasks seamlessly. an open-source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM.
Related contents:
The Production-Ready Open Source AI Framework.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Explore Agent Recipes
Explore common agent recipes with ready to copy code to improve your LLM applications.
Related contents:
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API. - openai/openai-realtime-agents
LLM Agent and Evaluation Framework for Autonomous Penetration Testing.
We introduce HackSynth, a novel Large Language Model (LLM)-based agent capable of autonomous penetration testing. HackSynth's dual-module architecture includes a Planner and a Summarizer, which enable it to generate commands and process feedback iteratively. To benchmark HackSynth, we propose two new Capture The Flag (CTF)-based benchmark sets utilizing the popular platforms PicoCTF and OverTheWire. These benchmarks include two hundred challenges across diverse domains and difficulties, providing a standardized framework for evaluating LLM-based penetration testing agents.
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
A web browser for AI agents & applications. An AI web browsing framework focused on simplicity and extensibility.
Low code LLM Apps Builder. Build LLM Apps Easily.
Open source low-code tool for developers to build customized LLM orchestration flow & AI agents.
Related contents:
AmphiPod is a lightweight, HTTP-based Model Context Protocol (MCP) server implementation written in Go. It simplifies the integration of AI tools by providing an HTTP interface to the MCP specification and executing tools through WebAssembly plugins.
Agent Framework / shim to use Pydantic with LLMs.
PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI.
Related contents:
🌎💪 BrowserGym, a Gym environment for web task automation.
BrowserGym is meant to provide an open, easy-to-use and extensible framework to accelerate the field of web agent research. It is not meant to be a consumer product. Use with caution!
Open-source framework for building Web Agents. Build and deploy Web Agents in a few lines of code.
Open-source sQL AI Agent. Text2SQL made Easy!
Wren AI is an open-source SQL AI Agent that empowers data, product, and business teams to access insights through AI chat, built-in well designed intuitive UI and UX, integrating seamlessly with tools like Excel and Google Sheets.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Related contents:
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Related contents:
AI coding engine for complex tasks. Build complex software with AI.
An open source, terminal-based AI coding engine. Designed for real-world tasks that span many files.
Related contents: