Agentes de IA
beeai-framework
Build production-ready AI agents in both Python and Typescript.
★ 3,4 mil estrelasApache-2.0
Ver o guia →eko é um projeto de agentes de IA de código aberto de FellouAI (FellouAI/eko no GitHub). Tem 4.960 estrelas no GitHub e 445 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 3 de março de 2026.
Build production-ready agentic workflows from natural language — agents that operate browsers and computers.
Describe the multi-step task in natural language — what to open, extract, fill in or produce.
Add the Eko core package (and the nodejs, web or extension package for your environment) with pnpm.
Provide at least one model API key for the agents to reason with.
Start from one of the bundled examples — extension, Node.js automation or web login — and watch the agent execute your description.
Production-ready agentic workflows are built from natural-language descriptions rather than hand-coded step scripts.
Agents perform browser automation and web scraping, system file and process management, and GUI automation.
Eko 3.0 introduced dependency-aware parallel agent execution, so independent sub-tasks run concurrently in the right order.
Task controls with task_snapshot workflow recovery let long automations be paused, resumed and safely interrupted.
Eko 4.0 supports chat conversations on top of the workflow engine, with optimized agent logic.
Ships examples and packages for a browser extension, a web application and a Node.js (Playwright) automation host.
Clone Eko and enter the monorepo.
git clone https://github.com/FellouAI/eko.git
cd ekoFor your own project, add the core package with pnpm (in the repo, build the workspace packages first).
pnpm install @eko-ai/ekoBuild the core packages, then run the Node.js/Playwright example with a model API key configured.
pnpm install
pnpm build
# Then follow example/nodejs — provide at least one model API key before runningEko is maintained by FellouAI (the team behind the Fellou browser), with the product page at fellou.ai/eko.
Yes — the framework is open source under the MIT license. You pay for the model APIs your agents call.
Yes — the examples require at least one model API key before running, since Eko's agents reason with an LLM you provide.
The README publishes its own framework comparison; Eko's emphasis is production workflows described in natural language that operate both the browser and the computer, with parallel agents and pause/resume recovery.
Add @eko-ai/eko with pnpm, configure a model key, and run the bundled Node.js or extension example.
Build production-ready AI agents in both Python and Typescript.
Production-ready headless browser for AI agents, built in Rust - structure first, pixels only on demand.
Production-ready agentic RAG behind a clean REST API.
A visual playground for agentic workflows: Iterate over your agents 10x faster
Build customer-facing AI agents that actually follow your rules
Open-source agentic browser your AI agents drive with your logins, plus an AI browser for humans.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.