BYOAIK — Bring Your Own AI Key: a directory of AI tools that run on your own API key.
Open Deep Research (LangChain)
LangChain's open-source deep research agent you run with your own models and search/MCP tools.
- Category:
- Research Tools
- Pricing:
- Open Source
- Open source:
- Yes (MIT)
- Self-hostable:
- Yes
- Local-first:
- Yes
- Platforms:
- Self-hosted, Library/SDK, Docker
- AI providers (bring your own key):
- OpenAI, Anthropic, Google Gemini, Azure OpenAI, OpenRouter, Groq, Mistral, Cohere, DeepSeek, Together AI, Ollama
- API key storage:
- User controls deployment
- Key risk level:
- LOW
- Trust score:
- 88/100
Open Deep Research is LangChain's fully open-source, configurable deep research agent built on LangGraph that automates multi-step web research and generates long-form, cited reports (ranked among the top systems on Deep Research Bench). You bring your own provider API keys via a .env file, and because it uses LangChain's init_chat_model() with provider:model strings, it works across a wide range of LLM providers (OpenAI and Anthropic are tested defaults; Google Gemini, Ollama local models, OpenRouter, plus other LangChain-supported providers like Azure OpenAI, Cohere, Mistral, Groq, Together, Bedrock, and DeepSeek). Search is pluggable: Tavily by default, plus native web search for Anthropic and OpenAI, and full Model Context Protocol (MCP) server compatibility. It runs self-hosted via a local LangGraph server / LangGraph Studio and can be deployed on LangGraph Platform or used as a Python library. MIT licensed.
How your API key is handled
You self-host the app, so your API key lives in your own deployment. Requests are sent directly to the AI provider. Because it can be self-hosted, your key never has to touch a third-party backend.
Setup
Deploy it (Docker/compose), add your provider API key in the admin or environment config, then select models.