vibeship-mind 3.1.1

Context graph memory system for AI coding assistants

Mind

Mind gives Claude a mind - not just memory across sessions, but focus within them. It remembers what worked, what didn't, and what it's supposed to be building.

When you're vibe coding with Claude, it forgets everything between sessions. What you decided, what broke, what worked - gone. Even worse, in long sessions it starts suggesting the same failed fixes over and over.

Mind fixes both problems with two-layer memory:

• MEMORY.md - Long-term memory across sessions
• SESSION.md - Short-term focus within a session

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Why Mind?

3 steps. Install, init, connect. Done.

Fully automated. Memory just works - no commands required:

• Claude writes memories as it works
• Session gaps auto-detected (30 min)
• Learnings auto-promoted to long-term memory
• Context auto-injected into CLAUDE.md
• Reminders auto-surface when due or when keywords match

Optional tools are there when you want them, but the core memory flow runs hands-free.

Two-layer memory:

• Cross-session recall (MEMORY.md)
• Within-session focus (SESSION.md)

Zero friction. Claude writes to files, MCP reads them lazily. No database, no cloud, no sync issues.

Human-readable. Plain .md files you can open, edit, or git-track anytime.

Open source. See exactly how it works. No black box.

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Ready to Give Claude a Mind?

3 steps. Zero friction.

1. Install Mind

pip install vibeship-mind

To upgrade to the latest version:

pip install vibeship-mind --upgrade

2. Initialize in your project

Open a terminal in your project folder, then run:

python -m mind init

3. Connect to Claude Code

Copy and paste this to Claude:

Add Mind MCP server to my config. Use command "python" with args ["-m", "mind", "mcp"]

Claude will set it up for you. Restart Claude Code after, and Mind will work automatically.

Manual setup (if you prefer)

Add to your MCP config file:

Mac/Linux: ~/.claude.json Windows: %USERPROFILE%\.claude.json

{
  "mcpServers": {
    "mind": {
      "command": "python",
      "args": ["-m", "mind", "mcp"]
    }
  }
}

Save the file, then restart Claude Code.

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Alternative: Install from source

git clone https://github.com/vibeforge1111/vibeship-mind.git
cd vibeship-mind
uv sync
uv run mind init

MCP config for source install:

{
  "mcpServers": {
    "mind": {
      "command": "uv",
      "args": ["--directory", "/path/to/vibeship-mind", "run", "mind", "mcp"]
    }
  }
}

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What's New in 3.1.0

Stability and usability improvements:

• mind search command - Search memories from CLI with semantic search

  mind search "authentication flow"
  mind search "database" --type decisions
  

• Improved mind doctor - Now checks current project's v3 status, not just registered projects
• Incremental sync - mind sync is faster than full migration for regular updates
• Better reasoning extraction - Decision reasoning no longer duplicates action text
• Debug logging - Silent failures now log to debug for troubleshooting

Previous: 3.0.0 (v3)

Mind v3 added a semantic context graph alongside MEMORY.md:

• Real Semantic Search - sentence-transformers for meaning-based retrieval
• Entity Extraction - Detects files, functions, and concepts
• Decision Tracking - Structured storage with reasoning and confidence
• Query Expansion - Finds related content even with different wording
• Cross-Encoder Reranking - Results ranked by relevance
• Pattern Detection - Learns preferences and habits
• 874 Tests - Comprehensive coverage

Upgrading from v2

pip install vibeship-mind --upgrade

Migration is automatic. When you use Mind after upgrading:

• Detects your existing MEMORY.md
• Migrates to v3 structured tables
• Preserves everything - no data loss

Both systems stay in sync - mind_log() writes to both v2 and v3.

.mind/
├── MEMORY.md          ← v2 (human-readable)
├── SESSION.md         ← v2 (session tracking)
└── v3/
    └── graph/         ← v3 (LanceDB vector database)

View Your Data

mind status              # Quick overview
mind search "topic"      # Semantic search
mind generate-views .    # Create DECISIONS.md, PATTERNS.md
mind migrate . --force   # Re-process everything

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What's New in 2.3.0

• Logging Levels - Choose Efficient/Balanced/Detailed modes to control what gets logged
• Usage-Based Retention - Memories decay if unused, stay relevant if accessed frequently
• 413 Tests - Comprehensive test coverage for stability

To upgrade to the newest version: pip install vibeship-mind --upgrade

Previous (2.2.0)

• Semantic Search - mind_search() uses TF-IDF similarity, not just keywords
• Loop Detection - Warns when you're about to repeat a rejected approach
• Smart Promotion - Deduplicates memories, links related entries
• Memory <-> Session Flow - Relevant memories surface when logging blockers

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MCP Tools (12 total)

Core:

Tool	What it does
mind_recall()	Load session context - CALL FIRST every session
mind_log(msg, type)	Log to session or memory (routes by type)

Type routing for mind_log():

• SESSION.md: experience, blocker, assumption, rejected
• MEMORY.md: decision, learning, problem, progress
• SELF_IMPROVE.md: feedback, preference, blind_spot, skill
• Special: reinforce (boosts pattern confidence)

Reading:

Tool	What it does
mind_session()	Check current session state
mind_search(query)	Semantic search past memories
mind_status()	Check memory health
mind_reminders()	List pending reminders

Actions:

Tool	What it does
mind_blocker(desc)	Log blocker + auto-search memory for solutions
mind_remind(msg, when)	Set reminder - time or context-based
mind_reminder_done(index)	Mark a reminder as done
mind_edges(intent)	Check for gotchas before risky code
mind_checkpoint()	Force process pending memories
mind_add_global_edge()	Add cross-project gotcha

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How It Works

Long-term (MEMORY.md): Permanent knowledge - decisions, learnings, problems, progress. mind_recall() loads this as context each session.

Short-term (SESSION.md): Working memory buffer:

• Experience - Raw moments, thoughts, what's happening
• Blockers - Things stopping progress
• Rejected - What didn't work and why
• Assumptions - What you're assuming true

When a new session starts (30 min gap), valuable items get promoted from SESSION.md to MEMORY.md automatically.

See docs/HOW_IT_WORKS.md for the full architecture.

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Reminders

Mind supports two types of reminders:

Time-based:

• "tomorrow", "in 3 days", "next session", "2025-12-20"

Context-based:

• "when I mention auth" - triggers when relevant keywords come up
• "when we work on database" - Claude sees keywords and surfaces reminder naturally

Example: "Remind me to check the security audit when we work on auth"

Reminders are stored in .mind/REMINDERS.md and shown in mind_recall() output.

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Initialize Mind in Any Project

Open a terminal in your project folder and run:

python -m mind init

That's it! This creates .mind/MEMORY.md and .mind/SESSION.md.

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Quick Commands

# Check project status
mind status

# Semantic search your memories
mind search "authentication"

# Health check
mind doctor

# See extracted entities
mind parse

# List all projects
mind list

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Useful Prompts for Claude

Copy-paste these prompts to Claude to get the most out of Mind:

1. Check Health

Check Mind's health and tell me if anything needs attention

2. View Session State

Show me my current session state - what have we tried and what's blocked?

3. Review Decisions

What decisions have we made in this project?

4. Search Memories

Search my memories for anything related to [topic]

5. Find Gotchas

What gotchas or learnings do we have about [topic]?

6. Log a Decision

Log this as a decision: [your decision and reasoning]

7. Set Time Reminder

Remind me to [task] tomorrow

8. Set Context Reminder

Remind me to [task] when we work on [feature]

9. List Reminders

Show me all my pending reminders

10. Complete Reminder

Mark reminder [number] as done

11. Check Progress

What were we working on? Check the session

12. Log Failed Approach

Log that we tried [approach] and it didn't work because [reason]

13. Review Assumptions

What assumptions are we making right now?

14. Log a Learning

Log this learning: [what you discovered]

15. Log a Blocker

I'm stuck on [problem] - log it and search for solutions

16. Check for Gotchas Before Coding

Before I implement [feature], check for any gotchas

17. Force Memory Sync

Force process any pending memories now

18. Add Project Gotcha

Add this as a project gotcha: [issue and workaround]

19. Upgrade Mind

Help me upgrade Mind to the latest version

Then run: pip install vibeship-mind --upgrade

20. Initialize New Project

Initialize Mind in [project path]

Then run: python -m mind init /path/to/project

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The Problem This Solves

Across sessions:

• "What did we decide yesterday?" -> Forgotten
• "What gotchas did we hit?" -> Re-discovered every time

Within sessions:

• "Didn't we already try that?" -> Suggests same failed fix 3 times
• "What are we building again?" -> Drifts into rabbit holes

Mind fixes both. Two layers of memory, zero friction.

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File Structure

your-project/
├── .mind/
│   ├── MEMORY.md     <- Long-term memory (persists)
│   ├── SESSION.md    <- Short-term focus (cleared each session)
│   ├── REMINDERS.md  <- Time and context-based reminders
│   ├── config.json   <- Feature flags for experiments
│   └── state.json    <- Timestamps for session detection
└── CLAUDE.md         <- Mind injects context here

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Troubleshooting

Problem	Fix
"Command not found"	Use python -m mind instead of just mind
Nothing being captured	Use keywords: decided, problem, learned, gotcha
Claude repeating mistakes	Tell Claude: "Check SESSION.md" or "Add to Rejected Approaches"
Need to check health	Run python -m mind doctor

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Documentation

• Architecture - Technical deep-dive, design principles
• How It Works - Visual diagrams explaining the system
• MCP Tools - Full tool reference with parameters

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License

Apache 2.0 - See LICENSE for details.

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Built by @meta_alchemist

A vibeship.co ecosystem project