Your Extended Mind - Never Sleeps, Never Tires, Always Thinking
MindForge is your personal thinking partner - an AI agent that takes your questions and insights, then researches, learns, thinks, and iterates autonomously until reaching convergence.
"A second mind with access to all knowledge, working on your questions while you focus on what matters."
┌─────────────────────────────────────────────────────────────┐
│ YOU: Submit Question/Insight │
│ "How does EBS relate to AI growth?" │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ MINDFORGE: Autonomous Thinking Cycle │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ Cycle 1: Research → Think → Generate Questions │ │
│ │ Cycle 2: Research → Think → Generate Questions │ │
│ │ Cycle 3: Research → Think → Generate Questions │ │
│ │ ... │ │
│ │ Cycle N: Review → No New Questions → CONVERGENCE │ │
│ └─────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ OUTPUT: Converged Insights + Thinking Path │
│ - Final answer with evidence │
│ - Complete reasoning trail │
│ - Sources and references │
└─────────────────────────────────────────────────────────────┘
- Each cycle: Research → Think → Self-Question → Learn
- Configurable cycle interval (default: 60 seconds)
- Automatic convergence detection
- Auto-installs needed skills for research
- Currently supports: web search, stock analysis, news, weather
- Extensible skill marketplace
- Watchdog monitors and auto-restarts
- Crash recovery with state preservation
- GitHub sync for backup
- Configurable memory limits
- Thinking path tracking
- Question/insight history
Create/edit memory/current-question.md:
# Question: How does elastic block storage relate to AI growth?
**Submitted**: 2026-03-10 15:30
**Priority**: High
**Context**:
- Working on cloud storage strategy
- AI industry booming, need to understand storage implications
- Want to know how EBS products can maintain leadership
**Desired Output**:
- Market analysis
- Technical requirements
- Strategic recommendationscd /home/admin/.openclaw/workspace/mindforge
bash watchdog.sh# View current thinking state
cat memory/current-state.md
# View thinking path
cat memory/thinking-path.md
# View logs
tail -f logs/mindforge.logWhen MindForge reaches convergence:
- No new questions generated after review
- Switches model for final review
- Marks question as "CONVERGED"
- You receive notification
Edit config.json:
{
"cycleIntervalSeconds": 60,
"maxMemoryMB": 500,
"autoConvergence": true,
"reviewCyclesBeforeConvergence": 2,
"modelForThinking": "qwen3.5-plus",
"modelForReview": "glm-5",
"githubSync": true,
"githubSyncInterval": 60
}mindforge/
├── README.md # This file
├── MISSION.md # Project mission and goals
├── config.json # Configuration
├── convergence.py # Main thinking engine
├── thinker.py # Thinking/reasoning logic
├── researcher.py # Research/data fetching
├── memory/
│ ├── current-question.md # Active question
│ ├── current-state.md # Current thinking state
│ ├── thinking-path.md # Complete reasoning trail
│ ├── questions.json # Question history
│ └── insights.json # Converged insights
├── logs/
│ ├── mindforge.log # Main logs
│ └── watchdog.log # Watchdog logs
├── skills/ # Installed skills
├── watchdog.sh # Auto-restart daemon
└── sync-github.sh # GitHub backup
MindForge knows when to stop:
- Primary Review: Current cycle generates no new questions
- Secondary Review: Switch model, review again
- Convergence: If still no questions → Stop and deliver results
This ensures thorough exploration without infinite loops.
After convergence, memory/insights.json:
{
"question": "How does EBS relate to AI growth?",
"status": "CONVERGED",
"cycles": 47,
"duration": "47 minutes",
"summary": "EBS is critical infrastructure for AI workloads...",
"keyInsights": [
"AI training requires high-throughput storage...",
"EBS providers must support NVMe over Fabrics...",
"Market opportunity: $X billion by 2028..."
],
"sources": [...],
"thinkingPath": "memory/thinking-path.md"
}MindForge embodies:
- Persistence: Never gives up on a question
- Rigor: Reviews and validates thinking
- Efficiency: Works while you focus on other things
- Transparency: Complete thinking trail visible
Created: 2026-03-10 Inspired by: The need for a thinking partner in a busy world