AI Agents
fast-agent
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
★ 3.9k starsApache-2.0
View guide →Build, run, and manage full agent platforms — not just single agents.
agno is an open-source ai agents project by agno-agi (agno-agi/agno on GitHub). It has 42,610 GitHub stars and 6,113 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Know what you want the agent to accomplish before touching any code.
Clone the repo and read the README's requirements section.
Install what's needed and add API keys or configuration.
Run the quickstart example, then iterate from there.
Build, run, and manage — not just prototype.
Coordinate groups of agents, not lone wolves.
Aimed at running agents reliably, at scale.
Native feel for the Python AI ecosystem.
Wire agents to the tools they need.
Commercial-friendly licensing.
Download the source and move into the project folder.
git clone https://github.com/agno-agi/agno.git
cd agnoIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m agno # check README for the exact commandIt is an open-source project at agno-agi/agno with 6113 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
LangChain is a broad ecosystem; Agno focuses on the full agent-platform lifecycle — build, run, manage — in one Python framework.
That's the pitch: running and managing agent platforms, not just prototyping them.
Clone the repo and follow the README quickstart — the docs at https://docs.agno.com walk through setup.
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
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Free and open — grab the source, star the repo, and start creating.