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// Skill profile

CompoundMind v0.1

name: compound-mind

by cassh100k · published 2026-03-22

日历管理数据处理加密货币
Total installs
0
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Last updated
2026-03
// Install command
$ claw add gh:cassh100k/cassh100k-compound-mind
View on GitHub
// Full documentation

---

name: compound-mind

description: Experience distillation engine that turns raw daily memory logs into compounding intelligence. Extracts patterns, generates briefings, tracks growth metrics, and builds a searchable experience index. Agents get permanently smarter - each interaction compounds into wisdom. Use when you want agents that learn from their history instead of starting fresh every session.

---

# CompoundMind v0.1

**Makes agents permanently smarter. Each interaction compounds.**

The problem: agents start from zero every session. Reading files helps, but raw logs are bulk. Real intelligence requires distillation - extracting what matters and making it instantly searchable.

What It Does

1. **Distills** memory logs into structured lessons, decisions, skill updates, relationships, and facts

2. **Indexes** everything into a searchable SQLite database weighted by recency and importance

3. **Briefs** you before any task with targeted lessons from past experience

4. **Tracks** growth over time - are you getting smarter or repeating mistakes?

Quick Start

cd /root/.openclaw/workspace/compound-mind

# Full pipeline (distill all memory files + build index)
python compound_mind.py sync

# Search your accumulated wisdom
python compound_mind.py search "Polymarket order types"
python compound_mind.py search "git mistakes" --category lesson
python compound_mind.py search "Chartist" --category relationship

# Pre-session briefing before a task
python compound_mind.py brief "trade on Polymarket BTC markets"
python compound_mind.py brief "post content on X"
python compound_mind.py brief "debug a Python cron job"

# Growth report
python compound_mind.py report

# Find repeated mistakes
python compound_mind.py mistakes

# Stats
python compound_mind.py stats

Commands

| Command | What it does |

|---------|-------------|

| `sync` | Distill all new memory files + rebuild index |

| `distill` | Extract structured knowledge from memory files |

| `rebuild` | Rebuild the SQLite wisdom index |

| `search <query>` | Search accumulated wisdom |

| `brief <task>` | Pre-session briefing for a specific task |

| `report` | Generate growth report with LLM narrative |

| `mistakes` | Show repeated mistake patterns |

| `stats` | Index statistics |

File Structure

compound-mind/
  compound_mind.py    - Main CLI
  distill.py          - Experience distiller (uses Claude Haiku)
  index.py            - SQLite FTS wisdom index
  brief.py            - Pre-session briefing generator
  growth.py           - Growth tracker and report generator
  data/
    experiences/      - Per-source distilled experience JSON files
    wisdom.db         - SQLite FTS database
    growth.json       - Growth tracking state
    briefs/           - Saved pre-session briefs
    distill_state.json - Tracks which files have been processed

How It Works

Distiller

Reads each memory file through Claude Haiku. Extracts:

  • **Lessons** - what worked, what failed, tagged by domain and outcome
  • **Decisions** - context + action + outcome triplets
  • **Skill updates** - evidence of capability improvement over time
  • **Relationships** - how each person communicates, what they prefer
  • **Facts** - specific knowledge worth keeping (wallet addresses, API patterns, config values)
  • Files are hash-tracked - re-runs only process changed files.

    Wisdom Index

    SQLite with FTS5 full-text search. Each entry scored by:

  • FTS relevance (BM25)
  • Recency (exponential decay, 30-day half-life)
  • Importance (1-5 score assigned by distiller)
  • Pre-Session Briefing

    Given a task description, detects relevant domains, pulls top wisdom, synthesizes a sharp briefing via Claude Haiku. Covers:

  • Critical lessons to remember
  • Past failures to avoid
  • Key facts and configs needed
  • Growth Tracker

    Analyzes all experience files to compute:

  • Lesson positive/negative ratios by domain
  • Decision quality rates
  • Repeated mistake patterns (same negative lesson appearing across multiple dates)
  • Composite growth score (0-100)
  • Integration with Agent Workflow

    Ideal usage pattern:

    1. **After each session** - run `sync` (or schedule via cron)

    2. **Before each task** - run `brief "task description"`

    3. **Weekly** - run `report` to see growth trajectory

    4. **When stuck** - run `search "relevant topic"` to surface past experience

    Cron Example (daily distillation)

    0 3 * * * cd /root/.openclaw/workspace/compound-mind && python compound_mind.py sync --since $(date -d "2 days ago" +%Y-%m-%d) >> /tmp/compound-mind.log 2>&1

    Dependencies

  • Python 3.10+
  • `anthropic` Python SDK (for distillation and briefing)
  • SQLite3 (stdlib)
  • Memory files at `/root/.openclaw/workspace/memory/`
  • No external databases. No vector embeddings. Runs entirely local with minimal API calls.

    Design Principles

  • **Incremental** - only re-processes changed files
  • **Cheap** - uses Claude Haiku for extraction (low cost per memory file)
  • **Fast** - SQLite FTS5 for sub-second search
  • **Honest** - growth tracking measures actual quality, not just quantity
  • **Composable** - each module works standalone or as part of the pipeline
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