LibreChat vs SiYuan
Side-by-side comparison of two AI agent tools
LibreChatopen-source
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se
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SiYuanopen-source
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
Metrics
| LibreChat | SiYuan | |
|---|---|---|
| Stars | 45.2k | 46.6k |
| Star velocity /mo | 1.6k | 3.9k |
| Commits (90d) | 1.2k | 4.9k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8455326940176766 | 0.9271708503527412 |
Pros
- +Extensive AI model support with 20+ providers including Anthropic, OpenAI, Google, and custom endpoints for maximum flexibility
- +Built-in Code Interpreter with secure sandboxed execution across multiple programming languages (Python, Node.js, Go, C/C++, Java, PHP, Rust, Fortran)
- +Self-hosted and open-source with strong community support (35K+ GitHub stars) and easy deployment options on Railway, Zeabur, and Sealos
Cons
- -Requires technical setup and maintenance compared to hosted solutions like ChatGPT or Claude
- -Multiple provider integrations may require separate API keys and configuration management
- -Resource-intensive when running locally with code execution capabilities
Use Cases
- •Organizations needing a self-hosted ChatGPT alternative with control over data privacy and AI provider selection
- •Developers requiring integrated code execution and file processing capabilities alongside conversational AI
- •Research teams wanting to compare outputs across multiple AI models (OpenAI, Anthropic, Google) within a single interface
FAQ
- Which is more popular, LibreChat or SiYuan?
- SiYuan has more GitHub stars (46,580 vs 45,164).
- Which is more actively developed, LibreChat or SiYuan?
- SiYuan had more commits in the last 90 days (4,873 vs 1,193).
- Should I use LibreChat or SiYuan?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.