AlphaMoatによると、2026-09時点でChaos Mindのダウンロード数は3,130、スター数は2で、AIスキル全体5,078件中3,637位、AIエージェントでは969件中735位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 99 | 3093 | 2 | 1 |
| SkillHub ↗ | 236 | 3130 | 2 | — |
プラットフォームごとに集計方法と集計時点が異なります。
このスキルは、AIエージェント向けのハイブリッド検索メモリシステム(Context-aware Hierarchical Autonomous Observation System)を提供し、BM25キーワード、ベクトル意味類似、グラフ関係ボーナス、アクセス熱の4つの検索シグナルを融合します。chaos-cliで使用:タスク前にsearch、タスク中にstore(カテゴリと優先度付き)、タスク後にlist。--mode indexは1件約75トークンで約90%の節約。自動キャプチャはオプトインのみで、デフォルトは手動の検索・保存です。
資料公開日 2026-10-27
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 3130 | — | 2 |
| 2026-08 | 2965 | +5.2% | 2 |
| 2026-07 | 2818 | +9.8% | 2 |
| 2026-06 | 2566 | +5.6% | 2 |
| 2026-05 | 2431 | — | 2 |
| 2026-03 | 1875 | — | 2 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
---
name: chaos-memory
description: Hybrid search memory system for AI agents. Manual search and storage - auto-capture is opt-in only.
homepage: https://github.com/hargabyte/Chaos-mind
metadata:
{
"openclaw":
{
"emoji": "🧠",
"install": [
{
"id": "chaos-install",
"kind": "shell",
"command": "bash install.sh",
"label": "Install CHAOS Memory",
},
],
},
}
---
# CHAOS Memory
**C**ontext-aware **H**ierarchical **A**utonomous **O**bservation **S**ystem
Hybrid search memory for AI agents with 4 retrieval signals:
- **BM25** - Keyword matching
- **Vector** - Semantic similarity
- **Graph** - Relationship bonuses
- **Heat** - Access patterns + priority
---
## 🤖 For AI Agents: How to Use This Tool
**First time?** Run this to see the complete reference:
```bash
chaos-cli --help
```
**Quick workflow:**
1. **Before a task:** `chaos-cli search "keywords" --mode index --limit 10`
2. **During a task:** `chaos-cli store "important fact" --category decision --priority 0.9`
3. **After a task:** `chaos-cli list 10`
**Token savings:** Use `--mode index` for 90% token savings (~75 tokens/result)
**More help:** Run `chaos help-agents` for the AI-optimized reference guide.
---
## Quick Start
After installation, use `chaos-cli`:
```bash
# Search memories
chaos-cli search "pricing decisions" --limit 5
# Store a memory
chaos-cli store "Enterprise tier: $99/month" --category decision
# List recent
chaos-cli list 10
```
---
## Search Memories
**Quick search** (summary mode):
```bash
chaos-cli search "architecture patterns" --mode summary --limit 5
```
**Fast scan** (index mode, 90% token savings):
```bash
chaos-cli search "team decisions" --mode index --limit 10
```
**Full detail**:
```bash
chaos-cli search "model selection" --mode full --limit 3
```
**Modes:**
| Mode | Tokens/Result | Use Case |
|------|---------------|----------|
| index | ~75 | Quick scan, many results |
| summary | ~250 | Balanced (default) |
| full | ~750 | Deep dive |
---
## Store Memory
```bash
# Decision
chaos-cli store "Qwen3-1.7B is default model" --category decision --priority 0.9
# Core fact
chaos-cli store "Database runs on port 3307" --category core --priority 0.7
# Research finding
chaos-cli store "43x speedup with think=false" --category research --priority 0.8
```
**Categories:** decision, core, semantic, research
**Priority:** 0.0-1.0 (higher = more important)
---
## Get by ID
```bash
chaos-cli get <memory-id>
```
---
## List Recent
```bash
chaos-cli list # Default 10
chaos-cli list 20 # Show 20
```
---
## Auto-Capture (Optional - Opt-In Only)
**⚠️ DISABLED BY DEFAULT for privacy.**
To enable auto-capture:
1. **Review privacy implications** - reads your session transcripts
2. **Edit config:** `nano ~/.chaos/config/consolidator.yaml`
3. **Set:** `auto_capture.enabled: true`
4. **Configure paths:** Add your session directories to `auto_capture.sources`
5. **Install Ollama:** https://ollama.com (if not already installed)
6. **Pull model:** `ollama pull qwen3:1.7b`
7. **Test:** `chaos-consolidator --auto-capture --once`
**What it extracts:** Decisions, facts, insights
**What it skips:** Greetings, filler, acknowledgments
**Where it runs:** 100% local (your machine, no external APIs)
**Speed:** 2.6s per message (~42s per 16-message session)
**Privacy:** Only processes files you explicitly configure. See SECURITY.md for details.
---
## 🔗 Enhanced Capabilities
CHAOS Memory integrates with other tools for deeper intelligence:
### Cortex (cx) - Semantic Code Anchoring
**What it does:** Anchors memories to specific code locations and files
**Why use it:** Memories become context-aware - "this decision affects Auth.tsx lines 45-67"
**How it works:**
- CHAOS detects if `cx` is available at startup
- Automatically creates semantic links: `memory → code location`
- Search results include related code snippets
**Install Cortex:**
```bash
# Cortex is a separate tool
# Install from: https://github.com/hargabyte/cortex
```
**Example:**
```bash
# Without Cortex
chaos-cli search "auth flow"
→ "Changed auth to use JWT tokens"
# With Cortex
chaos-cli search "auth flow"
→ "Changed auth to use JWT tokens"
→ 📍 Auth.tsx:45-67, middleware/auth.js:12
```
### Beads - Task Relationship Tracking
**What it does:** Links memories to tasks and issues
**Why use it:** Track which memories led to which tasks, decisions to implementations
**How it works:**
- CHAOS detects if `beads` or `beads-rust` is available
- Creates bidirectional links: `memory ↔ task`
- Memories can reference issue IDs automatically
**Install Beads:**
```bash
# Beads is a separate task management tool
# Install from: https://github.com/hargabyte/beads
```
**Example:**
```bash
# Store memory with task reference
chaos-cli store "Need to refactor auth" --category decision --task AUTH-123
# Search shows related tasks
chaos-cli search "auth refactor"
→ "Need to refactor auth"
→ 📋 Task: AUTH-123 (In Progress)
```
### Combined Power
When **all three tools** work together:
```bash
chaos-cli search "performance optimization"
→ Memory: "Added Redis caching layer"
→ 📍 Code: cache/redis.js:34-89
→ 📋 Task: PERF-042 (Completed)
→ 🔗 Related: 3 other memories, 2 code files, 1 PR
```
**Status Detection:**
- Cortex: Detected automatically on startup (logs `[OPT] Cortex Engine: FOUND`)
- Beads: Detected automatically on startup (logs `[OPT] Beads Task Manager: FOUND`)
- View status: Check the startup logs when running `chaos-mcp`
---
## Configuration
Default config location: `~/.chaos/config/consolidator.yaml`
```yaml
# Auto-capture is DISABLED by default
auto_capture:
enabled: false # Change to true after configuring paths
sources: [] # Add your session paths here
# Example (uncomment after reviewing):
# sources:
# - ~/.openclaw-*/agents/*/sessions/*.jsonl
qwen:
model: qwen3:1.7b # Locked default
chaos:
mode: mcp
mcp:
env:
CHAOS_DB_PATH: "~/.chaos/db"
```
---
## Environment Variables
| Variable | Default | Description |
|----------|---------|-------------|
| `CHAOS_HOME` | `~/.chaos` | Installation directory |
| `CHAOS_DB_PORT` | `3307` | Database port |
| `CHAOS_MODEL` | `qwen3:1.7b` | Extraction model |
---
## Requirements
- **Dolt** - Version-controlled database
- **Ollama** - Local LLM inference (for auto-capture)
- **Go 1.21+** - To build from source (optional)
The install script handles dependencies automatically.
---
## Troubleshooting
**Command not found:**
```bash
export PATH="$HOME/.chaos/bin:$PATH"
```
**Database error:**
```bash
cd ~/.chaos/db && dolt sql-server --port 3307 &
```
**No results:**
```bash
chaos-cli list # Check if memories exist
```
---
## Security & Privacy
**Data Storage:** All memories stored locally on your machine (`~/.chaos/db`)
- No cloud sync or external transmission
- Your data never leaves your computer
- Database is version-controlled (Dolt) for auditability
**Auto-Capture (Opt-In):**
- **Disabled by default** - you must explicitly enable and configure
- Requires manual configuration of session paths in `~/.chaos/config.yaml`
- Only processes files you explicitly specify in `auto_capture.sources`
- Runs locally using your own Ollama instance (no external API calls)
**Permissions:**
- Read: Session transcript files (only paths you configure)
- Write: Local database (`~/.chaos/db`)
- Network: None (all processing is local)
**Control:**
```bash
# View what auto-capture will process (dry-run)
chaos-consolidator --auto-capture --once --dry-run
# Disable auto-capture
# Edit ~/.chaos/config.yaml:
# auto_capture:
# enabled: false
# Or simply don't configure session paths
```
**Transparency:**
- Install script source: Included in repo (`install.sh`)
- All binaries built via GitHub Actions (reproducible)
- Database is plain Dolt (inspect with `dolt sql`)
---
## Links
- **GitHub:** https://github.com/hargabyte/Chaos-mind
- **Docs:** https://github.com/hargabyte/Chaos-mind/blob/main/README.md
- **Issues:** https://github.com/hargabyte/Chaos-mind/issues
---
*Version 1.0.0 | Created by HSA Team*
開発中の学び、エラー、訂正を Markdown ファイルに記録し、再利用やワークスペースの記憶への昇格に備えます。
やりたいことを自然文で伝えると、ローカルとリモートのカタログからスキルを探して推薦するスキルです。
AI エージェント向けのブラウザ自動化コマンドラインスキルです。
利用者の訂正と自己点検を層構造の記憶に蓄え、使われ方に応じて昇格や保管を行うスキルです。
第三者のスキルを入れる前に、出所と権限と危険な作りを手順に沿って調べるスキルです。
エージェントの記憶とスキル間の状態を、型と制約を持つ知識グラフとして保存するスキルです。
AI エージェントの先回り、作業記憶、振り返りの手順を計画するためのワークスペース設定ガイドです。
効果的な Claude スキルの作成・更新ガイドです。
データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。