KI-Agenten
reactive-resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
★ 43,7 Tsd. SterneMIT
Anleitung ansehen →ruoyi-ai ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von ageerle (ageerle/ruoyi-ai auf GitHub). Es hat 5.730 Sterne auf GitHub und 1.413 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
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.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Download the source and move into the project folder.
git clone https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-aiEvery 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 ageerle/ruoyi-ai with 1,413 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fr…
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic syst…
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Enterprise LLM app platform: GenAI workflows, RAG, agents, model management, evaluation, fine-tuning.
Secure persistent personal agent server in one Rust binary — sandboxed, multi-provider, on your hardware
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ruoyi-ai 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 ruoyi-ai bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A full-lifecycle platform for developing, debugging, evaluating and monitoring AI agents.
Vercel's open framework for building agents that run anywhere.
A visual playground for agentic workflows: Iterate over your agents 10x faster
An open-source platform for AI-native application development — assistants, tools, RAG and models in one API.
An MCP integration platform that lets AI agents use tools reliably at any scale.
The harness of harnesses: a persistent, self-evolving multi-agent ecosystem built for RSI.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.