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Show HN: A Karpathy-style LLM wiki your agents maintain (Markdown and Git)

Karpathy's knowledge substrate idea, shipped. Markdown + Git + BM25 = agents that learn across sessions without vector DBs.

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The KeyNews take

Why it matters

A working implementation of the LLM-native wiki pattern gaining attention in agent architecture circles—agents read from and write to a shared knowledge layer that persists across sessions, eliminating context re-pasting. Early indicator of how agent teams will manage institutional memory at scale.

The key facts

8 to know
  1. Markdown + Git as source of truth (not vector/graph DB)

  2. BM25 + SQLite index; 85% recall@20 on 500-artifact benchmark

  3. Draft-to-wiki promotion flow with human/agent review

  4. Append-only JSONL fact logs per entity with synthesis worker

  5. Open source (MIT); ships as WUPHF layer, agent-agnostic

  6. Local-first (~/.wuphf/wiki/); users can git clone knowledge out

  7. Deterministic fact IDs, canonical slugs, broken-link detection

  8. Integrated /lookup slash command + MCP tool for cited retrieval

Go to the source

Hacker Newsgithub.com

Publisher excerpt: I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has…
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