ai-agent
An autonomous agent for deep financial research.
Dexter is an autonomous financial research agent that thinks, plans, and learns as it works. It performs analysis using task planning, self-reflection, and real-time market data. Think Claude Code, but built specifically for financial research.
Building infrastructure for the Internet of Agents.
The AGNTCY project provides the complete infrastructure stack for agent collaboration—discovery, identity, messaging, and observability that works across any vendor or framework. It is the foundational layer that lets specialized agents find each other, verify capabilities, and work together on complex problems.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
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AI Agents that get real work done.
Ship Agent-powered assistants and automations that help your customers and 10x your teams.
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
Supercharged AI Development Environment.
Amplifier is a coordinated and accelerated development system that provides specialized AI agents, persistent knowledge that compounds over time, and workflows that execute complex methodologies.
A memory upgrade for your coding agent.
Beads is a lightweight memory system for coding agents, using a graph-based issue tracker. Four kinds of dependencies work to chain your issues together like beads, making them easy for agents to follow for long distances, and reliably perform complex task streams in the right order.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Agent Builder and Runtime by Docker Engineering.
cagent lets you create and run intelligent AI agents, where each agent has specialized knowledge, tools, and capabilities. Think of it as allowing you to quickly build, share and run a team of virtual experts that collaborate to solve complex problems for you.
A powerful, easy to use, customizable multi-agent runtime that orchestrates AI agents with specialized capabilities and tools, and the interactions between agents.
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Light-weight control pane to run CLI coding agents(Claude Code, Codex) in parallel.
A desktop terminal application for running multiple CLI coding agents simultaneously, each in isolated git worktrees.
Jules is an experimental coding agent that helps you fix bugs, add documentation, and build new features. It integrates with GitHub, understands your codebase, and works asynchronously — so you can move on while it handles the task.
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The official PHP SDK for Model Context Protocol servers and clients. Maintained in collaboration with The PHP Foundation.
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A list of AI agents and robots to block.
This list contains AI-related crawlers of all types, regardless of purpose. We encourage you to contribute to and implement this list on your own site. See information about the listed crawlers and the FAQ.
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⚡ Stream browser logs to terminal, zero setup, perfect for Ai Agents.
browser-echo makes it easy for you to read client-side logs directly in your coding agent during development.
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Laravel Boost accelerates AI-assisted development by providing the essential context and structure that AI needs to generate high-quality, Laravel-specific code.
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chrome-devtools-mcp lets your coding agent (such as Gemini, Claude, Cursor or Copilot) control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, giving your AI coding assistant access to the full power of Chrome DevTools for reliable automation, in-depth debugging, and performance analysis.
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The Agents SDK enables you to build and deploy AI-powered agents that can autonomously perform tasks, communicate with clients in real time, call AI models, persist state, schedule tasks, run asynchronous workflows, browse the web, query data from your database, support human-in-the-loop interactions, and a lot more.
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Revolutionary AI-Powered Offensive Security Framework.
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
AI Native Development Platform.
Supercharge your agents with spec-driven development. Get the speed of agentic coding with the reliability of production software.
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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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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.
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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AI Orchestration Platform
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.
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.
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.
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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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.
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.
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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