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ctxr-dev / llm-wiki-memory

Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.

Why this job: says: rag; topics: rag, embeddings, semantic-search

What it does

Claude Code, Cursor, Codex, and every other MCP client forget everything when a session ends. LLM Wiki Memory fixes that: it captures your conversations, compiles them into durable project knowledge and lessons your agent applies next time, and recalls the right context through a local MCP server. Memory lives on your machine as plain Markdown in an LLM wiki versioned in git, searched with local embeddings, and consolidated offline while you sleep.

Get started

git clone https://github.com/ctxr-dev/llm-wiki-memory ./.llm-wiki-memory/src
./.llm-wiki-memory/src/bootstrap.sh
# add --commit-memory to git-track the wiki (you commit it)
./.llm-wiki-memory/src/bootstrap.sh --schedule hourly
# recommended: hourly cron / launchd
Maintenance
Active
Last commit 2 months ago
Stars
129
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.5.0
Released 4 months ago
Built with
JavaScript
89% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
100% closed
0 still open
Pull requests
20 merged
0 waiting
Releases
4
4 in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • JavaScript 89%
  • TypeScript 10%
  • Shell 1%
  • PowerShell <1%

Topics

  • agent-memory
  • andrej-karpathy
  • andrej-karpathy-llm-wiki
  • andrej-karpathy-skills
  • claude-code
  • embeddings
  • llm-wiki
  • memory
  • rag
  • semantic-search

Project record

  • JobRAG and search
  • StatusListed
  • Commits203
  • Forks3
  • Watching0
  • Stars in 28 days+1
  • CreatedMay 22, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

Type to search.

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