AI Agents
beeai-framework
Build production-ready AI agents in both Python and Typescript.
★ 3.4k starsApache-2.0
View guide →Build production-ready agentic workflows from natural language — agents that operate browsers and computers.
eko is an open-source ai agents project by FellouAI (FellouAI/eko on GitHub). It has 4,960 GitHub stars and 445 forks, is released under the MIT license, and was last updated on GitHub on 3 March 2026.
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.
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Free and open — grab the source, star the repo, and start creating.