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coleam00/claude-memory-compiler

Give Claude Code a memory that evolves with your codebase. Hooks automatically capture sessions, the Claude Agent SDK extracts key decisions and lessons, and an LLM compiler organizes everything into structured, cross-referenced knowledge articles - inspired by Karpathy's LLM Knowledge Base architecture. observed · 2026-08-28

github.com/coleam00/claude-memory-compiler · Python observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 76
  • Release rhythm 35
  • Longevity 10

Flags: no_releases young no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 149
  • days_rel: n/a
  • days_push: 149
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1283 stars · 329 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python tool that gives Claude Code an evolving memory by capturing conversation transcripts via hooks, extracting decisions and lessons with the Claude Agent SDK, and compiling them into structured, cross-referenced markdown knowledge articles. Retrieval uses a simple index file instead of a vector database, and a lint script checks knowledge base health.

Use cases

  • give claude code persistent memory across sessions
  • automatically capture ai coding session decisions and lessons
  • build a searchable knowledge base from llm conversations
  • compile daily ai chat logs into structured knowledge articles
  • inject project context into future claude code sessions
  • query past ai conversations without a vector database

When to choose

  • you use Claude Code daily and want decisions and gotchas remembered across sessions
  • you want a personal knowledge base without embeddings or vector database infrastructure
  • you prefer plain markdown files you can read and edit directly
  • you already have a Claude subscription and want to avoid separate API billing

When to avoid

  • you need team-shared or multi-user knowledge management at scale
  • you use a different coding agent without Claude Code hook support
  • you require semantic vector search over large corpora rather than index-guided retrieval
  • you need a permissively licensed dependency - the repo has no license file

Facets

cli-tool · maturity active

llm-inference rag documentation markdown workflow-automation developer-tools developer-tools large-language-models documentation python cli cross-platform claude-code claude-agent-sdk memory knowledge-base hooks llm-knowledge-base no-rag coding-agent-memory ai-agents knowledge-management

1 source

Member repositories

RepositoryRoleHealth v2
coleam00/claude-memory-compilermain48

For agents

markdown · JSON · MCP: product_card(name="coleam00/claude-memory-compiler")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem