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chaos-mind混乱的头脑

Agent Skill

chaos-mind 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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GitHub Stars

2

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:chaos-mind(混乱的头脑)
来源仓库:https://github.com/hargabyte/chaos-mind
安装命令:
openclaw skills install chaos-mind
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install chaos-mind

简介

混合搜索记忆系统增强 AI 代理知识管理能力。

  • 适用于长期记忆存储和快速检索优化场景。
  • 支持手动归档与自动捕获双模式运作。
  • 需定期清理冗余数据保证检索效率。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • chaos-mind 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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

CHAOS Memory

Context-aware Hierarchical Autonomous Observation System

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:

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:

# 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):

chaos-cli search "architecture patterns" --mode summary --limit 5

Fast scan (index mode, 90% token savings):

chaos-cli search "team decisions" --mode index --limit 10

Full detail:

chaos-cli search "model selection" --mode full --limit 3

Modes:

ModeTokens/ResultUse Case
index~75Quick scan, many results
summary~250Balanced (default)
full~750Deep dive

Store Memory

# 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

chaos-cli get <memory-id>

List Recent

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:

# Cortex is a separate tool
# Install from: https://github.com/hargabyte/cortex

Example:

# 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:

# Beads is a separate task management tool
# Install from: https://github.com/hargabyte/beads

Example:

# 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:

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

# 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

VariableDefaultDescription
CHAOS_HOME~/.chaosInstallation directory
CHAOS_DB_PORT3307Database port
CHAOS_MODELqwen3:1.7bExtraction 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:

export PATH="$HOME/.chaos/bin:$PATH"

Database error:

cd ~/.chaos/db && dolt sql-server --port 3307 &

No results:

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:

# 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*

适合场景

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能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算20,387

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敏感数据

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安装前确认

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