Open-source AI search agent you can self-host. Web research with cited answers, like Grok/Perplexity — but you choose the LLM (GPT-4o, Llama, Qwen, etc.) and own the entire stack. Docker Compose up and go.
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Hey PH! I'm launching Barongsai — an open-source Python framework for building AI search agents.
The problem: Teams want Grok/Perplexity-style AI search but can't send proprietary data to third-party services. Enterprise compliance, data residency, cost control — there are real reasons to self-host.
What Barongsai does:
- Searches the web (DuckDuckGo or Brave), fetches content, synthesizes answers with clickable citations
- Plug in any LLM — OpenAI, Ollama, vLLM, or run HuggingFace models locally with 4-bit quantization (zero token costs)
- Ships with Open WebUI integration — docker compose up gives you a full chat interface
- OpenAI-compatible API (/v1/chat/completions) — drop into any existing workflow
- Enterprise middleware built-in: circuit breakers, rate limiting, structured logging, auth
What it's NOT: A hosted service. It's a framework + reference app. You own the stack, you own the data.
Built with Python 3.11+, FastAPI, Pydantic v2, fully async. MIT licensed.
I open-sourced barongs.ai so teams and enterprises can self-host AI search without vendor lock-in.
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