KI-Agenten
fast-agent
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
★ 3,9 Tsd. SterneApache-2.0
Anleitung ansehen →agno ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von agno-agi (agno-agi/agno auf GitHub). Es hat 42.610 Sterne auf GitHub und 6.113 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
Build, run, and manage full agent platforms — not just single agents.
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.
Build and run agents you can see, understand and trust — framework plus a visual agent service
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.