Skip to content

[GitHub Trending] langchain-ai/open_deep_research

8.1 relevance
Score Breakdown
technical depth
8
novelty
8
actionability
8
community
8
strategic
8
personal
9

Scored daily by a customisable AI persona to surface the most relevant engineering leadership news.

LangChain's open deep research tool, directly relevant to AI agent orchestration and multi-agent systems with strong community signal.

AI/ML github.com
Contribute to langchain-ai/open_deep_research development by creating an account on GitHub.
Summary

LangChain released Open Deep Research, an open-source agent that achieves #6 on the Deep Research Bench leaderboard with a 0.4344 RACE score, matching proprietary deep research tools. It supports multiple LLM providers (GPT-4.1, GPT-5, Ollama), search backends (Tavily, MCP servers, native web search), and runs via LangGraph server with configurable summarization, research, compression, and report-writing models. The benchmark includes 100 PhD-level tasks across 22 fields, with evaluation costing $20–$100 per run.

Author

langchain-ai