KI-Agenten
siyuan
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作
★ 46,6 Tsd. SterneAGPL-3.0
Anleitung ansehen →agenta ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von Agenta-AI (Agenta-AI/agenta auf GitHub). Es hat 4.817 Sterne auf GitHub und 690 Forks, wird unter der Lizenz NOASSERTION veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A team workspace for building AI agents together.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Collaborative agent development.
Structured agent construction.
Coordinate agent workflows.
Monitor agent runs and behavior.
Built for shipping automations, not demos.
Modern web-based implementation.
Download the source and move into the project folder.
git clone https://github.com/Agenta-AI/agenta.git
cd agentaInstall the dependencies.
npm installStart the dev server per the README.
npm run devIt is maintained by Agenta-AI at Agenta-AI/agenta, with 690 forks.
GitHub does not assert a license for this repo, so treat the code as all rights reserved until the author adds one. Check the repository for any LICENSE file.
You bring your own model access; check the docs for any managed options.
Compare on collaboration features and built-in evaluation/observability.
Clone the repo, install dependencies, and follow the README quickstart.
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作
Team chat where AI agents are first-class teammates, not bots.
Living architecture documentation that both your team and AI agents can read.
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
NVIDIA's object-oriented, Pythonic approach to building AI agents.
Guardrails for building secure, robust agents.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.