ai-agent
The AI Framework For Ruby on Rails. Rails framework for Agent Apps.
Active Agent is a free open source framework that lets ANY Rails dev ship real, user-facing AI features using controllers, views, & background jobs.
Active Agent provides that missing AI layer in the Rails framework, offering a structured approach to building AI-powered applications through Agent Oriented Programming. Now Agents are Controllers! Designing applications using agents allows developers to create modular, reusable components that can be easily integrated into existing systems. This approach promotes code reusability, maintainability, and scalability, making it easier to build complex AI-driven applications with the Object Oriented Ruby code you already use today.
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OpenPoke is a simplified, open-source take on Interaction Company’s Poke assistant—built to show how a multi-agent orchestration stack can feel genuinely useful. It keeps the handful of things Poke is great at (email triage, reminders, and persistent agents) while staying easy to spin up locally.
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Generate code from the terminal! Supercharge Your AI Coding. Simple. Fast. Powerful. Codebuff works in your terminal.
Codebuff is an open-source AI coding assistant that edits your codebase through natural language instructions. Instead of using one model for everything, it coordinates specialized agents that work together to understand your project and make precise changes.
Background Agents for Claude Code.
Terragon is a developer platform that lets you run AI coding agents in the cloud. Whether you're at your browser, in your terminal, or on your phone, Terragon works wherever you are. Offload coding tasks and come back to pull requests ready to review.
An Open-Source Asynchronous Coding Agent.
Open SWE is an open-source cloud-based asynchronous coding agent built with LangGraph. It autonomously understands codebases, plans solutions, and executes code changes across entire repositories—from initial planning to opening pull requests.
A tool to perform transformations on code repositories with AI.
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Servers and tools from the community that connect models to files, APIs, databases, and more.
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An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
Coze Studio is an all-in-one AI agent development tool. Providing the latest large models and tools, various development modes and frameworks, Coze Studio offers the most convenient AI agent development environment, from development to deployment.
A framework for building AI agents and applications.
AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
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Building a Secure and Interoperable Future for AI-Driven Payments.
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A protocol for connecting any editor to any agent.
The Agent Client Protocol standardizes communication between code editors (IDEs, text-editors, etc.) and coding agents (programs that use generative AI to autonomously modify code).
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SHAI — Your AI-powered coding assistant. shai is a coding agent, your pair programming buddy that lives in the terminal. Written in rust with love <3
SHAI is a cutting-edge, terminal-based AI assistant designed to simplify your day-to-day development tasks. Whether you're building a website, editing files, running shell commands, or automating complex workflows, Shai has got you covered — all from the comfort of your terminal.
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The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
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A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations).
🚀 Serena is a powerful coding agent toolkit capable of turning an LLM into a fully-featured agent that works directly on your codebase. Unlike most other tools, it is not tied to an LLM, framework or an interface, making it easy to use it in a variety of ways.
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Your best engineers shouldn't Q&A all day.
Dosu is an AI-powered Github maintainer agent. Dosu helps open source maintainers encourage contributors, organize issues, triage bugs, answer questions, and more.
Dosu turns your codebase into a living knowledge base that every team member can understand—from engineering to operations—so builders can build.
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ARK extends Kubernetes with custom resources that make agents, teams, MCP tools, and workflows first-class citizens in your cluster.
Provider-agnostic operations for agentic resources. ARK codifies patterns and practices developed across dozens of agentic application projects.
the knowledge and task management backbone for AI coding assistants.
Archon is the command center for AI coding assistants. For you, it's a sleek interface to manage knowledge, context, and tasks for your projects. For the AI coding assistant(s), it's a Model Context Protocol (MCP) server to collaborate on and leverage the same knowledge, context, and tasks. Connect Claude Code, Kiro, Cursor, Windsurf, etc. to give your AI agents access to:
Build compliant AI chat agents, in minutes. LLM agents built for control. Designed for real-world use. Deployed in minutes.
Parlant gives you all the structure you need to build customer-facing agents that behave exactly as your business requires
The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. You can also create and share your own models and datasets with the community. The huggingface_hub library provides a simple way to do all these things with Python.
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In this short article, I will walk you through how I implemented it in Typescript (JS), how you can adopt MCP too and how it's going to make Agentic AI way simpler going forward.
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Build / Deploy Agent Workflows.
Launch agentic workflows with an open source, user-friendly environment for devs and agents.
Sim is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.
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A simple, open format for guiding coding agents, used by over 20k open-source projects.
Think of AGENTS.md as a README for agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.
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- Improve your AI code output with AGENTS.md (+ my best tips) @ builder.io.
- #118 - Les news sur le développement web et l'IA pour septembre 2025 RC1 @ Double Slash :fr:.
- Optimizing repos for AI @ Tom Bedor's Blog.
- How to write a great agents.md: Lessons from over 2,500 repositories @ GitHub Blog.
- Writing a good CLAUDE.md @ humanlayer.
- Streamlining my user-level CLAUDE.md @ chris dzombak.
- The Complete Guide to CLAUDE.md @ builder.io.
- How to build self-improving coding agents - Part 1 @ Eric J Ma's Website.
- AGENTS.md outperforms skills in our agent evals @ Vercel.
- Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents? @ arXiv.
- Knowledge Priming @ martinFowler.com.
- J'ai mis deux IA en code review l'une contre l'autre — voici ce que ça donne @ Maxence Maireaux :fr:.
- Filesystems are having a moment @ madalitso.me.
- Your Docs Directory Is Doomed @ Jim Yagmin's Blog.
- Stop Wasting Hours Writing Unit Tests: Use GitHub Copilot to Explode Code Coverage Fast @ Build5Nines.
The Easiest Way to Build Desktop Agents. Bytebot is a turn-key container for developers building desktop agents.
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.
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Chat UI for Coderunner.
coderunner-ui is a local‑first AI workspace that lets you:
- Chat with local or remote LLMs
- Run generated code inside a fully isolated Apple Container VM
- Browse the web and automate tasks via a built‑in headless browser (Playwright) All without sending your data to the cloud.
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Run AI Generated Code Locally. A secure local sandbox to run LLM-generated code using Apple containers.
CodeRunner is an MCP (Model Context Protocol) server that executes AI-generated code in a sandboxed environment on your Mac using Apple's native containers.
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Your AI workforce launchpad, in your pocket. Talk to Your AI Agents from Anywhere!
Omnara transforms your AI agents (Claude Code, Cursor, GitHub Copilot, and more) from silent workers into communicative teammates. Get real-time visibility into what your agents are doing, respond to their questions instantly, and guide them to success - all from your phone.
stagewise is the first frontend coding agent for existing production-grade web apps 🪄 -- Lives inside your browser 💻 -- Makes changes in local codebase 🤓 -- Compatible with all kinds of frameworks and setups 💪 .
Add React UI components to your AI agent.
A React package for building AI-powered applications with generative UI, where users interact through natural language.
Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, "Manus", and “Claude Code” have gotten around this limitation by implementing a combination of four things: a planning tool, sub agents, access to a file system, and a detailed prompt.
deepagents is a Python package that implements these in a general purpose way so that you can easily create a Deep Agent for your application.
Deep Research at Your Fingertipsat Your Fingertips
Meet DeerFlow, your personal Deep Research assistant. With powerful tools like search engines, web crawlers, Python and MCP services, it delivers instant insights, comprehensive reports, and even captivating podcasts.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Build and deploy MCP agents.
Spin-up and aggregate MCP servers through a single endpoint and zero friction.
mcp-use is the easiest way to interact with mcp servers with custom agents. 🌐 MCP-Use is the open source way to connect any LLM to any MCP server and build custom MCP agents that have tool access, without using closed source or application clients.
A Model Context Protocol server for Go developers.
GoDoctor is an intelligent, AI-powered companion for the modern Go developer. It integrates seamlessly with AI-powered IDEs and other development tools through the Model Context Protocol (MCP), providing a suite of powerful features to enhance your workflow.
The glamourous AI coding agent for your favourite terminal 💘
Your new coding bestie, now available in your favourite terminal. Your tools, your code, and your workflows, wired into your LLM of choice.
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state of the art browsing agent (WebArena 72.7%).
Meka Agent is an open-source, autonomous computer-using agent that delivers state-of-the-art browsing capabilities. The agent works and acts in the same way humans do, by purely using vision as its eyes and acting within a full computer context.
It is designed as a simple, extensible, and customizable framework, allowing flexibility in the choice of models, tools, and infrastructure providers.
An open-source AI agent that brings the power of Grok directly into your terminal. A conversational AI CLI tool powered by Grok with intelligent text editor capabilities and tool usage.
Agents.md Guide for OpenAI Codex
Learn how to use Agents.md files to enhance OpenAI Codex and other AI agents in navigating your codebases, running tests, and adhering to your project's standard practices.
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Interactive UI Components for MCP SDK for UI over MCP. Create next-gen UI experiences!
Build rich, dynamic user interfaces for your MCP applications with SDKs that bring UI to AI interactions.
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any-agent is a Python library providing a single interface to different agent frameworks.
AI powered Kubernetes Assistant.
kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.
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Build Agents that Never Hallucinate. Deploy the most accurate RAG in the world in two lines of code.
The most accurate document search and store for building AI apps.
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The AI IDE for prototype to production.
Kiro is an agentic IDE that helps you go from prototype to production with spec-driven development, agent hooks, and natural language coding assistance. Build faster with AI-powered features that understand your entire codebase, turn prompts into structured specs, and automate repetitive tasks.
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Run a bunch of Claude Codes in parallel.
Each Claude gets an isolated workspace. See who’s working, see who’s stuck, and what’s changed.
Open Source AI coding assistant for planning, building, and fixing code. We're a superset of Roo, Cline, and our own features.
Detect agentic coding environments and AI editors.
Detect agentic coding environments and AI assistant tools. This library allows CLI tools and Node apps to detect when they're being executed by AI agents. This enables them to adapt by, for example, providing different output formats or logs.
An open-source, code-first Python or Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.
- Agent Development Kit (ADK) Python @ GitHub.
- Agent Development Kit (ADK) Java @ GitHub.
- Agent Development Kit (ADK) for Go @ GitHub.
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MCP server for interaction with the Bitwarden vault.
Model Context Protocol (MCP) server that enables interaction with the Bitwarden password manager vault via the MCP protocol. The server allows AI models to securely communicate with a user's Bitwarden vault through defined tool interfaces.
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Orchestrate AI Coding Agents. Kanban board to manage your AI coding agents.
AI coding agents are increasingly writing the world's code and human engineers now spend the majority of their time planning, reviewing, and orchestrating tasks. Vibe Kanban streamlines this process.
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The Open-Source Agentic Browser. Your Browser, Reimagined.
We believe browsers must be open source, not owned by search or ad companies. And the future is AI agents automating your work locally and securely. We're building the best browser for that future.
Model Context Protocolfor the Browser
Browser-based Model Context Protocol (MCP) implementation that enables AI assistants to interact with web applications through standardized MCP tools.
Today's AI automation is like using a robot to read your screen and click buttons. MCP-B gives AI direct access to your website's functions instead.
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Build Real-Time Knowledge Graphs for AI Agents.
Graphiti is a Python framework for building temporally-aware knowledge graphs designed for AI agents. It enables real-time incremental updates to knowledge graphs without batch recomputation, making it suitable for dynamic environments where relationships and information evolve over time.
The OpenCLI specification (OCS) defines a standard, platform and language agnostic interface to CLI applications which allows both humans and computers to understand how a CLI tool should be invoked without access to source code or documentation.
An OpenCLI Description can be used by documentation software to display usage of a tool, or code generation tools to create clients for interoping with a CLI tool.
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Markdown‑native Task Manager & Kanban visualizer for any Git repository.
A tool for managing project collaboration between humans and AI Agents in a git ecosystem.
Backlog.md turns any folder with a Git repo into a self‑contained project board powered by plain Markdown files and a zero‑config CLI.
Amp is an agentic coding tool engineered to maximize what’s possible with today’s frontier models—autonomous reasoning, comprehensive code editing, and complex task execution.
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Give Cursor Agent an AI Team and Advanced Skills
Testing WASM-powered AI agents.
This Blueprint demonstrates how to run AI agents directly in the browser using WebAssembly (WASM) through Pyodide and the OpenAI Agents Python SDK. Experience the power of Python-based AI agents without external dependencies – agent code runs directly in your web browser.
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Easily launch a Claude Code session that is connected to a swarm of Claude Code Agents.
Claude Swarm orchestrates multiple Claude Code instances as a collaborative AI development team. It enables running AI agents with specialized roles, tools, and directory contexts, communicating via MCP (Model Context Protocol) in a tree-like hierarchy. Define your swarm topology in simple YAML and let Claude instances delegate tasks through connected instances. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.
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An open-source implementation of the AlphaEvolve system described in the Google DeepMind paper "AlphaEvolve: A coding agent for scientific and algorithmic discovery" (2025).