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Auto Memory Pro

核心功能:通过/si:review、/si:promote等命令,分析Claude自动生成的MEMORY.md,识别可推广经验,将其晋升为项目规则(存入CLAUDE.md或.claude/rules/),提取为独立复用技能,还可查看内存健康、手动保存知识。典型场景:梳理项目经验、将临时观察转为强制规则、提取通用解决方案、监控内存状态。输入为指定命令,输出为分析报告、规则/技能文件或健康仪表板。

alirezarezvani
alirezarezvani
热度 75.29
最近更新 2026-05-17 13:28:02
分类:知识依赖:读写文件 / MCP 服务 / 内部调用大模型 / 代码执行应用场景:工作流 / 模板 / 笔记整理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add auto-memory-pro
Metadata
name
auto-memory-pro
description
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.

Self-Improving Agent

Auto-memory captures. This plugin curates.

Claude Code's auto-memory (v2.1.32+) automatically records project patterns, debugging insights, and your preferences in MEMORY.md. This plugin adds the intelligence layer: it analyzes what Claude has learned, promotes proven patterns into project rules, and extracts recurring solutions into reusable skills.

Quick Reference

Command What it does
/si:review Analyze MEMORY.md — find promotion candidates, stale entries, consolidation opportunities
/si:promote Graduate a pattern from MEMORY.md → CLAUDE.md or .claude/rules/
/si:extract Turn a proven pattern into a standalone skill
/si:status Memory health dashboard — line counts, topic files, recommendations
/si:remember Explicitly save important knowledge to auto-memory

How It Fits Together

┌─────────────────────────────────────────────────────────┐
│                  Claude Code Memory Stack                │
├─────────────┬──────────────────┬────────────────────────┤
│  CLAUDE.md  │   Auto Memory    │   Session Memory       │
│  (you write)│   (Claude writes)│   (Claude writes)      │
│  Rules &    │   MEMORY.md      │   Conversation logs    │
│  standards  │   + topic files  │   + continuity         │
│  Full load  │   First 200 lines│   Contextual load      │
├─────────────┴──────────────────┴────────────────────────┤
│              ↑ /si:promote        ↑ /si:review          │
│         Self-Improving Agent (this plugin)               │
│              ↓ /si:extract    ↓ /si:remember            │
├─────────────────────────────────────────────────────────┤
│  .claude/rules/    │    New Skills    │   Error Logs     │
│  (scoped rules)    │    (extracted)   │   (auto-captured)│
└─────────────────────────────────────────────────────────┘

Installation

Claude Code (Plugin)

/plugin marketplace add alirezarezvani/claude-skills
/plugin install self-improving-agent@claude-code-skills

OpenClaw

clawhub install self-improving-agent

Codex CLI

./scripts/codex-install.sh --skill self-improving-agent

Memory Architecture

Where things live

File Who writes Scope Loaded
./CLAUDE.md You (+ /si:promote) Project rules Full file, every session
~/.claude/CLAUDE.md You Global preferences Full file, every session
~/.claude/projects/<path>/memory/MEMORY.md Claude (auto) Project learnings First 200 lines
~/.claude/projects/<path>/memory/*.md Claude (overflow) Topic-specific notes On demand
.claude/rules/*.md You (+ /si:promote) Scoped rules When matching files open

The promotion lifecycle

1. Claude discovers pattern → auto-memory (MEMORY.md)
2. Pattern recurs 2-3x → /si:review flags it as promotion candidate
3. You approve → /si:promote graduates it to CLAUDE.md or rules/
4. Pattern becomes an enforced rule, not just a note
5. MEMORY.md entry removed → frees space for new learnings

Core Concepts

Auto-memory is capture, not curation

Auto-memory is excellent at recording what Claude learns. But it has no judgment about:

  • Which learnings are temporary vs. permanent
  • Which patterns should become enforced rules
  • When the 200-line limit is wasting space on stale entries
  • Which solutions are good enough to become reusable skills

That's what this plugin does.

Promotion = graduation

When you promote a learning, it moves from Claude's scratchpad (MEMORY.md) to your project's rule system (CLAUDE.md or .claude/rules/). The difference matters:

  • MEMORY.md: "I noticed this project uses pnpm" (background context)
  • CLAUDE.md: "Use pnpm, not npm" (enforced instruction)

Promoted rules have higher priority and load in full (not truncated at 200 lines).

Rules directory for scoped knowledge

Not everything belongs in CLAUDE.md. Use .claude/rules/ for patterns that only apply to specific file types:

# .claude/rules/api-testing.md
---
paths:
  - "src/api/**/*.test.ts"
  - "tests/api/**/*"
---
- Use supertest for API endpoint testing
- Mock external services with msw
- Always test error responses, not just happy paths

This loads only when Claude works with API test files — zero overhead otherwise.

Agents

memory-analyst

Analyzes MEMORY.md and topic files to identify:

  • Entries that recur across sessions (promotion candidates)
  • Stale entries referencing deleted files or old patterns
  • Related entries that should be consolidated
  • Gaps between what MEMORY.md knows and what CLAUDE.md enforces

skill-extractor

Takes a proven pattern and generates a complete skill:

  • SKILL.md with proper frontmatter
  • Reference documentation
  • Examples and edge cases
  • Ready for /plugin install or clawhub publish

Hooks

error-capture (PostToolUse → Bash)

Monitors command output for errors. When detected, appends a structured entry to auto-memory with:

  • The command that failed
  • Error output (truncated)
  • Timestamp and context
  • Suggested category

Token overhead: Zero on success. ~30 tokens only when an error is detected.

Platform Support

Platform Memory System Plugin Works?
Claude Code Auto-memory (MEMORY.md) ✅ Full support
OpenClaw workspace/MEMORY.md ✅ Adapted (reads workspace memory)
Codex CLI AGENTS.md ✅ Adapted (reads AGENTS.md patterns)
GitHub Copilot .github/copilot-instructions.md ⚠️ Manual promotion only

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