Integrate claude-mem (thedotmack/claude-mem) into the guide as Section 8.2.5. Score: 4/5 (High Value - automatic session capture fills documentation gap). Added: - Section 8.2.5: claude-mem plugin (automatic session memory) * Automatic capture via lifecycle hooks * AI compression + progressive disclosure (10x tokens) * Web dashboard at localhost:37777 * Natural language search * Privacy controls (<private> tags) * Cost analysis ($0.15/100 obs) * AGPL-3.0 licensing considerations - Memory Tools Decision Matrix (claude-mem vs Serena vs grepai) * 4-layer memory stack pattern * Integrated workflow examples * When to use automatic vs manual memory - Plugin template: examples/plugins/claude-mem.md * Installation, configuration, troubleshooting * Advanced features (progressive disclosure, endless mode) * Export/import, cost optimization - Resource evaluation: docs/resource-evaluations/claude-mem-evaluation.md * Technical analysis (fact-checked stats) * Comparison to existing tools * Integration recommendations - reference.yaml: 14 new claude-mem entries Changed: - Updated search tools comparison (5 tools: rg, grepai, Serena, ast-grep, claude-mem) - Extended feature matrix with "Auto capture" and "Web dashboard" rows Stats (verified 2026-02-10): - 26.5k GitHub stars, 1.8k forks - 181 releases, 46 contributors - Latest: v9.1.1 (Feb 7, 2026) - License: AGPL-3.0 + PolyForm Noncommercial Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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| reference.yaml | ||
Machine-Readable References
Files optimized for LLM/AI consumption.
Contents
| File | Description | Tokens |
|---|---|---|
| reference.yaml | Structured index with line numbers for deep dives | ~2K |
| llms.txt | Standard LLM context file for repository indexation | ~1.5K |
Usage
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Reference in Claude Code
@machine-readable/reference.yaml
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