What problem does it solve?
It prevents research knowledge from getting lost by maintaining a persistent, project-level wiki that compiles papers, ideas, experiments, claims, gaps, and their relationships over time.
Core Features & Use Cases
- Persistent research knowledge base: Store papers, ideas, experiments, claims, gaps, and an append-only timeline log for every update.
- Relationship graph with auto-generated connections: Keep typed edges in graph/edges.jsonl and auto-render “Connections” views on entity pages.
- Context-window-friendly querying: Generate query_pack.md (up to 8000 characters) that summarizes top gaps, clusters, failed ideas, and active chains for fast ideation and review.
- Operational lifecycle support: Initialize the wiki schema, ingest new papers, backfill via arXiv IDs, validate structure with lint, and monitor coverage with stats.
Quick Start
Use the research-wiki skill to initialize the wiki in your project so you can start ingesting and querying research knowledge.