KI-Agenten
deepagents-in-action
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
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Anleitung ansehen →LangBot ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von langbot-app (langbot-app/LangBot auf GitHub). Es hat 18.052 Sterne auf GitHub und 1.626 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A production-grade platform for building agentic chat bots on every IM platform
Pick the chat platform your users are on and the LLM/agent backend to connect.
Use LangBot Cloud for zero setup, or launch locally with uvx or Docker Compose.
Open the web panel, add your model credentials and connect your messaging platform account.
Send a message on the connected platform and watch the agent respond.
Bots for Discord, Slack, LINE, Telegram, WeChat, Feishu/Lark, DingTalk, QQ, Matrix and more from one platform.
Integrates GPT, DeepSeek, Claude, Gemini, GLM, Ollama, plus agent platforms like Dify, n8n, Langflow and Coze.
Built-in knowledge-base arrangement so bots answer from your documents.
Extend bots with plugins for new capabilities and integrations.
A web management panel and Docker deployment aimed at running bots in production, not just demos.
uvx langbot starts it locally; the panel is then available on localhost:5300.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/langbot-app/LangBot.git
cd LangBotRequires uv; starts LangBot and serves the panel locally.
uvx langbot
# then visit http://localhost:5300Clone and start the full stack with the all profile.
docker compose --profile all up -d # run inside the LangBot/docker folder of the cloneIt is maintained by the LangBot team (langbot-app) and contributors on GitHub.
Yes - LangBot is Apache-2.0 licensed and free to self-host. LangBot Cloud is an optional hosted service.
The platform is free, but the LLMs behind your bot need their own accounts/API keys - or run local models via Ollama for free.
Compared with writing a bot per platform with each SDK, LangBot unifies platforms, models, RAG and plugins in one production-oriented system.
Run uvx langbot, open localhost:5300, add a model and a platform, and send your bot its first message.
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Production-ready agentic RAG behind a clean REST API.
Team chat where AI agents are first-class teammates, not bots.
A harness-oriented framework for production-grade agent applications.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls LangBot nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die LangBot bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
An open-source agent operating system in Rust - autonomous 'Hands' that do real work
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
The JavaScript/TypeScript version of LangChain - the agent engineering platform
A dev-first framework for building and running autonomous AI agents.
Build customer-facing AI agents that actually follow your rules
Agent-native memory infrastructure - structured, persistent memory for production agents
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.