agent-memory
FeaturedUse when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.
Install
Quality Score: 99/100
Skill Content
Details
- Author
- alirezarezvani
- Repository
- alirezarezvani/claude-skills
- Created
- 10 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
claude-memory-kit
Persistent memory for Claude Code agents with an agent-audit-ritual architecture. User only talks; the agent captures, audits, proposes promotions, and writes. Memory lives in layers — a hot cache (MEMORY.md) held under three size caps, per-session handoffs (context/handoffs/), topical knowledge articles (knowledge/concepts/), and canonical rules (.claude/rules/) — plus multi-project isolation via projects/<name>/ and an experiments/ sandbox. /close-session runs the end-of-session audit ritual. Zero external dependencies.
memory-engineering
Use when an agent's memory needs to be built, audited, or maintained — the user asks to set up a memory system, complains the agent keeps forgetting or repeating mistakes, says the instruction file (CLAUDE.md/AGENTS.md) has grown bloated or contradictory, asks what should be remembered vs deleted, or says 'remember this'. Triggers: memory engineering, bootstrap a memory system, audit my memory, my agent forgets everything, CLAUDE.md is a mess, run the memory sweep, 建記憶系統, 健檢記憶, 清理記憶. Not a vector database or retrieval tool.
self-improving-agent
Auto-curate memory, promote recurring patterns, and extract reusable knowledge across sessions. TRIGGER when: user says "/si:", asks about memory management, pattern promotion, or wants to review accumulated learnings. DO NOT TRIGGER when: user wants general code review, documentation, or project planning.