Autonomous AI agents that perform tasks independently
mcp-use
mcp-use is the framework for MCP with the best DX - Build AI agents, create MCP servers with UI widgets, and debug with built-in inspector. Includes client SDK, server SDK, React hooks, and powerful dev tools.
...moreCelestoAI
Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.
...moretercumantanumut
Selene is a desktop app that runs AI agents on your machine. Connect them to your WhatsApp, Telegram, Slack, or Discord. Write code, generate images, build personal assistants. All from one place. Your data stays on your device.
...moreelliot35
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTTP API. Works with Cursor, Claude Code, Codex, and any MCP-compatible agent.
...morecall518
🔍Professional MCP server for PostgreSQL operations & monitoring: 30+ extension-independent tools for performance analysis, table bloat detection, autovacuum monitoring, schema introspection, and database management. Supports PostgreSQL 12-17.
...moregustavoeenriquez
The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Enterprise-grade AI for Delphi 10.3+
...moresoth-ai
Reticle intercepts, visualizes, and profiles JSON-RPC traffic between your LLM and MCP servers in real-time, with zero latency overhead. Stop debugging blind. Start seeing everything.
...moreruanrongman
本项目为xiaozhi-esp32提供后端服务 | A Powerful AI agent IoT platform core.
aws-samples
Collection of examples of how to use Model Context Protocol with AWS.
emqx
A TypeScript SDK for implementing Model Context Protocol (MCP) over MQTT, supporting both browser and Node.js environments.
...morealways-further
Portable , scalable , secure AI Agents
Haohao-end
A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.
...moren1byn1kt
The MCP server that turns any website into an API — no docs, no SDK, no browser. npm: @apitap/core
adoslabsproject-gif
Epistemic dataset generation engine. 38 AI agents deliberate through multi-round Geth Consensus — producing auditable reasoning traces for AI training. Parliament System, Knowledge Grounding, zero-trust security.
...moresubeshb1
🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.
...moreaugmentedstartups
Roomey is a multi-purpose Voice Agent designed to run your personal and business life.
krokozyab
Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task orchestration. Deploy with a single JAR
...moreshredEngineer
Find your files with natural language and ask questions.
SylphAI-Inc
The self-evolving coding agent that learns from your entire team and codebase. Less syncing. Less waiting. Deliver at the speed of thought.
...moreleonardsellem
MCP server that lets Codex delegate to isolated codex exec sub-agents, selecting repo+global skills automatically
MDalamin5
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
...morecall518
🔍Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
...moredigitarald
Gives VS Code agent mode planning superpowers with dynamic todo lists
agent-infra
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.