KI-Agenten
Langchain
The agent engineering platform
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Anleitung ansehen →CAMEL ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von camel-ai (camel-ai/camel auf GitHub). Es hat 17.806 Sterne auf GitHub und 2.104 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 30. September 2026 auf GitHub aktualisiert.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Application frameworks, agent runtimes, or voice stacks — choose by whether you are building apps, automations, or realtime voice.
Python or TypeScript packages install with one command; most include quickstart templates.
Give the agent functions it can call and a memory layer so it stays coherent across sessions.
Launch the agent, watch its tool calls and reasoning traces, and iterate on prompts and tools.
Agents act on the world: APIs, databases, browsers, and shell commands.
Crews and graphs of specialized agents collaborating on complex tasks.
Short and long-term memory so agents improve across sessions.
Traces of every decision and tool call — essential for debugging.
Low-latency stacks for conversational voice agents.
Swap underlying LLMs without rewriting your agent logic.
Download the source and move into the project folder.
git clone https://github.com/camel-ai/camel.git
cd camelIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtFrameworks build your own; some repos here ship ready-made agents you can run directly.
Tool-calling quality matters more than raw size — strong mid-size models work well.
It is an open-source project at camel-ai/camel with 2,104 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Sandbox tool access, confirm destructive actions, and review traces — treat agents like junior employees with supervision.
Self-hosted frameworks are free; you pay only for model inference (local or API).
A quickstart template in the framework's docs — most get a first agent running in minutes.
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Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls CAMEL 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 CAMEL bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A production-grade platform for building agentic chat bots on every IM platform
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Agent-native memory infrastructure - structured, persistent memory for production agents
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A CLI that writes and maintains agent-ready docs for your codebase.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.