Agentes de IA
fast-agent
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
★ 3,9 mil estrelasApache-2.0
Ver o guia →fastmcp é um projeto de agentes de IA de código aberto de PrefectHQ (PrefectHQ/fastmcp no GitHub). Tem 28.003 estrelas no GitHub e 2.444 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.
The fast, Pythonic way to build MCP servers and clients.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Decorators turn functions into MCP tools.
Covers both ends of the protocol.
Minutes from function to working server.
Maintained under the Prefect umbrella.
Tracks the Model Context Protocol.
Open and commercially friendly.
Download the source and move into the project folder.
git clone https://github.com/PrefectHQ/fastmcp.git
cd fastmcpCreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at PrefectHQ/fastmcp and has attracted 2444 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
The code is free; you bring your own model provider, which may be a paid API or a local model.
FastMCP prioritizes developer speed with a high-level API; the official SDK stays closer to the spec. Start with FastMCP for productivity, drop to the SDK when you need fine control.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
An MCP server that lets Claude, Cursor and Windsurf build n8n workflows for you
Production-grade MCP server for Godot — let AI build scenes, edit scripts and wire your game live
MCP aggregator, orchestrator, middleware and gateway in one Docker — compose many servers into one endpoint
Self-hosted MCP gateway and control plane — connect, control and operate all your MCP servers from one place
Basic Memory: local-first MCP memory so you and your AI tools build a shared knowledge graph in Markdown
Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se fastmcp não for o ideal para você.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Projetos de Agentes de IA próximos no catálogo, os mais próximos em estrelas de fastmcp: continue explorando dos dois lados dele.
Hugging Face's LeRobot: datasets, models and tools to make real-world robotics AI accessible
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill,…
The open-source studio for labeling data of every type.
A fully local Manus-style autonomous agent: browses, codes and speaks — no APIs, no subscription
Mastra is the modern TypeScript framework for AI-powered applications and agents.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and…
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.