Mind-Wander

该 Skill 是一个自主后台推理代理，按计划从 ON_YOUR_MIND.md 选取一个未解问题，调用本地 Qwen3.5-9B、FalkorDB 漫游图谱、Perplexity 网页检索与受限 Python 沙箱进行探索，只有真正新颖时才把发现写入 MENTAL_EXPLORATION.md，并把已关闭线索记入 DEAD_ENDS.md 与漫游图谱，避免重复探索。

jebadiahgreenwood

热度 33.16

最近更新 2026-05-18 11:37:16

分类：知识依赖：代码执行 / 读写文件 / 第三方 API / 内部调用大模型应用场景：研究 / 笔记整理 / 自动化脚本

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 mind-wander

Metadata

name: mind-wander
description: Background reasoning agent that autonomously explores open questions using a local LLM (Qwen3.5-9B), a private knowledge graph for dead-end tracking, and Perplexity web search. Fires on a schedule, picks one unresolved question from ON_YOUR_MIND.md, runs sandbox experiments and web searches, and writes findings to MENTAL_EXPLORATION.md only when genuinely novel — mirroring hippocampal background consolidation. Uses a separate FalkorDB 'wander' graph so exploration history never pollutes the primary agent context. Use when: setting up autonomous background research for an OpenClaw agent, exploring research questions without consuming primary LLM token budget, building training data from exploratory reasoning sessions, or tracking dead ends to avoid re-exploration. Triggers on: "mind wander", "background reasoning", "autonomous research", "wander agent", "ON_YOUR_MIND", "MENTAL_EXPLORATION", "dead ends", "explore while I sleep".

Mind-Wander Skill

Autonomous background reasoning agent. Runs locally on Qwen3.5-9B, consumes zero Anthropic tokens, and elevates findings to your context only when genuinely novel.

How it works

ON_YOUR_MIND.md  →  Qwen3.5 wander agent (every 30min)
  open questions       ↓ tools: query_graph, search_web,
  tangents             ↓         read_file, sandbox_run,
  hypotheses           ↓         check_dead_ends, record_dead_end, elevate()
                       ↓
              novelty gate (strict)
                  ↙         ↘
           MENTAL_EXPLORATION.md    DEAD_ENDS.md + wander graph
           (elevated findings)      (closed threads, never in your context)
                  ↓
           memwatchd detects write
                  ↓
           graph-rag memory (your context)

Prerequisites

Qwen3.5-9B-Q8 pulled to Ollama: ollama pull qwen3.5-wander-q8 (or use install script)
FalkorDB running (shared with graph-rag-memory skill if installed)
Perplexity API key (optional but recommended for web search)
graph-rag-memory skill installed (recommended — shares FalkorDB and Ollama)

Quick start

# Install and set up
bash mind-wander/scripts/install.sh

# Write your first open question
echo "## What is the best approach to X?" >> ON_YOUR_MIND.md

# Run manually
python3 mind-wander/run.py --verbose

# Check findings
cat MENTAL_EXPLORATION.md
cat DEAD_ENDS.md

# Status
python3 mind-wander/run.py --status

The ON_YOUR_MIND.md anchor file

Create ON_YOUR_MIND.md in your workspace root with questions and tangents. The agent picks ONE per session. Format freely — the agent reads it as-is.

# On My Mind

## Open Questions
- Does X actually work better than Y in production?
- Is there a paper on Z that I haven't found yet?

## Tangents
- The implementation of A might connect to B in an interesting way

Mark completed items with ## ✅ COMPLETED so the agent skips them.

The novelty gate

Restatement of known facts → discarded, nothing written
New external finding intersecting open question → elevate()
Empirical sandbox result that changes understanding → elevate()
Definitively closed thread (≥2 targeted searches) → record_dead_end()

Tools available to the wander agent

Tool	Description
`query_graph`	Search primary FalkorDB graph for related facts
`search_web`	Perplexity AI web search
`read_file`	Read workspace .md files
`list_files`	List workspace .md files
`sandbox_run`	Run Python snippets (numpy/scipy, no network, 30s limit)
`check_dead_ends`	Check wander graph for previously closed threads
`record_dead_end`	Record a closed thread (lower bar than elevate)
`elevate`	Write finding to MENTAL_EXPLORATION.md (strict gate)

Configuration

Edit mind-wander/mind_wander_config.py:

WANDER_MODEL    = "qwen3.5-wander-q8"   # or q4 for lighter
WANDER_OLLAMA   = "http://172.18.0.1:11436"
MAX_TOOL_CALLS  = 20
COOLDOWN_HOURS  = 3   # min hours before revisiting same anchor item

Output files

File	Contents	In graph-rag?
`MENTAL_EXPLORATION.md`	Elevated findings	✅ via memwatchd
`DEAD_ENDS.md`	Closed threads summary	❌ never
`completions/wander/`	Full session JSON	❌ training data only

Research context

This skill produced the first novel finding in its 10-minute test run: "Cross-space routing (routing in nomic-space, retrieving in arctic/bge-m3 space) matches same-space baseline accuracy — suggesting domain routing is robust to embedding space discontinuities." See NOVELTY_LOG.md for tracked findings.

See references/research.md for theoretical foundations and references/setup.md for detailed installation instructions.