Proposal: Contribute "lite-deep-researcher" as LangChain/LangGraph-powered research automation framework

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Project Overview

lite-deep-researcher is an open-source multi-agent framework for automated research and code analysis, built on LangGraph and LangChain. It implements:

• Modular Architecture: Coordinator/Planner/Researcher/Reporter agents with stateful workflows
  Architecture Diagram
• Tool integrations (web search, crawling, Python REPL) via LangChain
• Production-Ready: Testing, linting, and configurable execution (Quick Start)
• Research Examples:
  • What is MCP? (cross-domain analysis)
  • Bitcoin Price Analysis (financial research)

LangChain Ecosystem Alignment

1. LangGraph Core: Uses nodes/edges for agent orchestration (Architecture)
2. LangChain Tools: Extends capabilities with specialized research workflows
3. Acknowledgments: Explicitly credits LangChain/LangGraph as foundational

Contribution Proposal

I propose transferring/maintaining the repo under LangChain-AI to:

• Provide researchers with a ready-to-use framework leveraging LangChain’s tools
• Strengthen the multi-agent use case ecosystem
• Collaborate on maintenance/roadmap

Questions for the Team

1. Does this fit LangChain-AI’s scope for community projects?
2. Are there specific standards to address pre-transfer?

Happy to adapt the project or discuss further!