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claude-mem

v9.0.7

Published

Memory compression system for Claude Code - persist context across sessions

Readme


Quick Start

Start a new Claude Code session in the terminal and enter the following commands:

> /plugin marketplace add thedotmack/claude-mem

> /plugin install claude-mem

Restart Claude Code. Context from previous sessions will automatically appear in new sessions.

Key Features:

  • 🧠 Persistent Memory - Context survives across sessions
  • 📊 Progressive Disclosure - Layered memory retrieval with token cost visibility
  • 🔍 Skill-Based Search - Query your project history with mem-search skill
  • 🖥️ Web Viewer UI - Real-time memory stream at http://localhost:37777
  • 💻 Claude Desktop Skill - Search memory from Claude Desktop conversations
  • 🔒 Privacy Control - Use <private> tags to exclude sensitive content from storage
  • ⚙️ Context Configuration - Fine-grained control over what context gets injected
  • 🤖 Automatic Operation - No manual intervention required
  • 🔗 Citations - Reference past observations with IDs (access via http://localhost:37777/api/observation/{id} or view all in the web viewer at http://localhost:37777)
  • 🧪 Beta Channel - Try experimental features like Endless Mode via version switching

Documentation

📚 View Full Documentation - Browse markdown docs on GitHub

Getting Started

Best Practices

Architecture

Configuration & Development


How It Works

Core Components:

  1. 5 Lifecycle Hooks - SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd (6 hook scripts)
  2. Smart Install - Cached dependency checker (pre-hook script, not a lifecycle hook)
  3. Worker Service - HTTP API on port 37777 with web viewer UI and 10 search endpoints, managed by Bun
  4. SQLite Database - Stores sessions, observations, summaries
  5. mem-search Skill - Natural language queries with progressive disclosure
  6. Chroma Vector Database - Hybrid semantic + keyword search for intelligent context retrieval

See Architecture Overview for details.


MCP Search Tools

Claude-Mem provides intelligent memory search through 4 MCP tools following a token-efficient 3-layer workflow pattern:

The 3-Layer Workflow:

  1. search - Get compact index with IDs (~50-100 tokens/result)
  2. timeline - Get chronological context around interesting results
  3. get_observations - Fetch full details ONLY for filtered IDs (~500-1,000 tokens/result)

How It Works:

  • Claude uses MCP tools to search your memory
  • Start with search to get an index of results
  • Use timeline to see what was happening around specific observations
  • Use get_observations to fetch full details for relevant IDs
  • ~10x token savings by filtering before fetching details

Available MCP Tools:

  1. search - Search memory index with full-text queries, filters by type/date/project
  2. timeline - Get chronological context around a specific observation or query
  3. get_observations - Fetch full observation details by IDs (always batch multiple IDs)
  4. __IMPORTANT - Workflow documentation (always visible to Claude)

Example Usage:

// Step 1: Search for index
search(query="authentication bug", type="bugfix", limit=10)

// Step 2: Review index, identify relevant IDs (e.g., #123, #456)

// Step 3: Fetch full details
get_observations(ids=[123, 456])

See Search Tools Guide for detailed examples.


Beta Features

Claude-Mem offers a beta channel with experimental features like Endless Mode (biomimetic memory architecture for extended sessions). Switch between stable and beta versions from the web viewer UI at http://localhost:37777 → Settings.

See Beta Features Documentation for details on Endless Mode and how to try it.


System Requirements

  • Node.js: 18.0.0 or higher
  • Claude Code: Latest version with plugin support
  • Bun: JavaScript runtime and process manager (auto-installed if missing)
  • uv: Python package manager for vector search (auto-installed if missing)
  • SQLite 3: For persistent storage (bundled)

Configuration

Settings are managed in ~/.claude-mem/settings.json (auto-created with defaults on first run). Configure AI model, worker port, data directory, log level, and context injection settings.

See the Configuration Guide for all available settings and examples.


Development

See the Development Guide for build instructions, testing, and contribution workflow.


Troubleshooting

If experiencing issues, describe the problem to Claude and the troubleshoot skill will automatically diagnose and provide fixes.

See the Troubleshooting Guide for common issues and solutions.


Bug Reports

Create comprehensive bug reports with the automated generator:

cd ~/.claude/plugins/marketplaces/thedotmack
npm run bug-report

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes with tests
  4. Update documentation
  5. Submit a Pull Request

See Development Guide for contribution workflow.


License

This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0).

Copyright (C) 2025 Alex Newman (@thedotmack). All rights reserved.

See the LICENSE file for full details.

What This Means:

  • You can use, modify, and distribute this software freely
  • If you modify and deploy on a network server, you must make your source code available
  • Derivative works must also be licensed under AGPL-3.0
  • There is NO WARRANTY for this software

Note on Ragtime: The ragtime/ directory is licensed separately under the PolyForm Noncommercial License 1.0.0. See ragtime/LICENSE for details.


Support


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