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Agent Skill · 研究检索

chaos-mind(混乱的头脑)

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。

chaos-mind 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 2,389。

总安装 61,834周安装 2,629GitHub Stars 2下载 21,663核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.3

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install chaos-mind;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

chaos-mind 怎么安装?

在终端执行 openclaw skills install chaos-mind。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

chaos-mind 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

chaos-mind 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

chaos-mind 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

chaos-mind 用的人多吗?

公开数据是累计安装 61,834 次,近一周安装 2,629 次,下载 21,663 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

chaos-mind 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
chaos-mind

混乱的头脑 · 本页

61,8342接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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*

平台分布

OpenClaw

94.11%
按下载量换算20,387

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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