RepositoryShenSeanChen/launch-DeepResearch-BackendTool
Building autonomous deep research pipelines often requires stitching together iterative query expansion, multi-source execution, streaming responses, and different LLM providers. This project provides a ready-made architectural starting point combining LangGraph and FastAPI.
The project solves the problem of orchestrating multi-step AI research routines in a standalone API service. On the technology side, it runs on Python 3.11+, FastAPI, Pydantic, LangGraph, and Uvicorn, with containerisation support for GCP Cloud Run. Supported models encompass OpenAI GPT-4o, Anthropic Claude, and Kimi K2 0905. The research cycle moves through user clarification, research brief creation, live multi-source execution with streaming updates, and report synthesis.
The target audience comprises developers wanting to integrate research agent workflows or learn LangGraph orchestration via the accompanying 25-minute YouTube walkthrough. In terms of maturity, the repository has 88 stars and 23 forks under the MIT licence, positioning it primarily as a tutorial starter kit or MVP blueprint that requires further customisation and production testing before enterprise use.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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