Research Council brings GraphRAG to local hardware

This is a smart example of hybrid AI architecture beating brute-force localism: keep the stateful data layer on your machine, then rent high-end reasoning only when it matters.

• –Dynamic tool loading via langgraph-bigtool is the real systems insight here, because it cuts prompt overhead before the agents even start working
• –The four-role council design gives the project a sharper research workflow than generic single-agent RAG apps, especially for contradiction hunting and methodology critique
• –Writing conclusions back into the graph turns each query into accumulated structure, not just another disposable chat response
• –The tradeoff is that this is not fully local end-to-end yet, since final reasoning still depends on Groq and OpenRouter rather than an entirely self-hosted stack