langchain-ai/open_deep_research

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

12673 stars · 1815 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source deep research agent built with LangGraph that performs multi-step web research using configurable LLM providers, search tools, and MCP servers. It runs as a local LangGraph server with a Studio UI and API, and ranks competitively on the Deep Research Bench leaderboard.

Use cases

• run an open-source deep research agent on my own models
• automate multi-step web research reports
• compare deep research agents across LLM providers
• build a research assistant with MCP tool integration
• self-host a deep research alternative to OpenAI Deep Research
• evaluate agent performance on deep research benchmarks

When to choose

• you want a configurable, self-hosted deep research agent
• you need support for many LLM providers, search tools, and MCP servers
• you want to study or extend a well-regarded research agent codebase

When to avoid

• you need a fully managed hosted research product with no setup
• you want a simple single-shot search rather than an agentic multi-step workflow
• you are not prepared to supply your own model and search API keys

Facets

application · maturity active

agent-framework rag search-engine llm-inference web-scraping artificial-intelligence large-language-models developer-tools python self-hosted deep-research langgraph mcp multi-provider-llm research-agent ai-agents retrieval-augmented-generation search web-server docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langchain-ai/open_deep_research")