hyperresearch

I pulled a GitHub trending project called hyperresearch (jordan-gibbs/hyperresearch). It’s an agent-driven research KB: agents gather web research, run search over what they collected, and synthesize results into a persistent, searchable wiki you can keep using over time.

This is the kind of tool I’d reach for when I’m iterating on a technical decision and the sources keep changing—for example, when I’m comparing RAG/agent architectures across recent repos and papers, and I want the “what we found and why we decided” to survive beyond the current chat session.

What to look at first:

- The project repo: https://github.com/jordan-gibbs/hyperresearch - The “entry point” where the agent workflow is defined (start there to see how collection → search → synthesis is wired). - Any docs/config that show how it decides what to persist into the wiki (schema/format matters more than the demo). - Example runs or scripts that show how you trigger a new research batch and then query the resulting knowledge.

I like this direction because it’s explicitly about turning research into an operational artifact: a store you can re-query, rather than a one-off summary. If you’re building production RAG or agent systems, this is a useful reference for the end-to-end loop (ingest → retrieve → synthesize → persist) and for how to structure the “wiki” as the system’s memory layer.