KI-Agenten
ruoyi-ai
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
★ 5,7 Tsd. SterneMIT
Anleitung ansehen →MetaGPT ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von FoundationAgents (FoundationAgents/MetaGPT auf GitHub). Es hat 70.729 Sterne auf GitHub und 8.989 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 21. Januar 2026 auf GitHub aktualisiert.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Large language models drive its smartest features, locally or via API.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Download the source and move into the project folder.
git clone https://github.com/FoundationAgents/MetaGPT.git
cd MetaGPTEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at FoundationAgents/MetaGPT with 8,989 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Sandboxing, approval gates, and least-privilege credentials.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear deb…
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic t…
Control Android and iOS devices with natural language — an LLM-agnostic mobile agent framework and CLI.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls MetaGPT 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 MetaGPT bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover…
A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
Agent harness for multi-agent swarms: deploy, coordinate and federate autonomous workflows
Convert PDFs, DOCX, and HTML into clean, AI-ready documents.
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The…
Drop-in persistent memory infrastructure for AI agents and apps.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.