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

An LLM-native wiki layer for AI agents, using Markdown and Git as the source of truth, with Bleve (BM25) and SQLite for indexing. Part of WUPHF.

Analyzed: Apr 26, 2026

This LLM-native wiki addresses a critical challenge in agentic systems: persistent, shareable, and verifiable knowledge management. By leveraging Markdown and Git, it offers a durable, human-readable, and version-controlled knowledge base, directly countering the opacity and vendor lock-in associated with proprietary vector or graph databases. The emphasis on local execution, self-hosting, and explicit provenance via Git commits enhances trust and control for enterprises. Features like draft-to-wiki promotion, entity fact logs, and automated linting ensure knowledge quality and consistency. This approach provides a pragmatic, auditable foundation for agent memory and RAG, appealing to organizations prioritizing data sovereignty and transparent AI operations over complex, black-box solutions.

LLM wiki AI agents markdown git source of truth bleve BM25 SQLite index vector db graph db LLM-native knowledge substrate context compounds private notebook shared team wiki Draft-to-wiki promotion flow state machine auto-archive Per-entity fact log append-only JSONL synthesis worker entity brief git identity provenance git log Wikilinks broken-link detection Daily lint cron contradictions stale entries lookup slash command MCP tool cited retrieval heuristic classifier narrative queries cited-answer loop durability recall@20 internal ship gate sqlite-vec Canonical IDs Fact IDs sentence offset Canonical slugs redirect stubs rebuild agent observation quality lint pass Single-office scope cross-office federation WUPHF open source collaborative office Claude Code Codex OpenClaw local LLMs OpenCode MIT self-hosted bring-your-own keys substrate tradeoffs promotion-flow state machine BM25-first retrieval bet canonical-ID stability rules Obsidian vault

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

Score: 153