claude-mem
claude-mem is an open-source TypeScript project in the claude space with 81.1k GitHub stars. The repository is actively maintained, with recent commits.
Apache-2.0Permissive — free to use in commercial and proprietary software, with attribution.View license →
Production readiness
5/5- Actively maintainedCommits in the last 6 months
- No known vulnerabilitiesNo OSV advisories
- Clear, usable licenseApache-2.0 (permissive)
- Proven adoptionWidely used
- Has documentationDocumentation indexed
npm install claude-memQuick Start
Install with a single command:
npx claude-mem install
Or install for Gemini CLI (auto-detects ~/.gemini):
npx claude-mem install --ide gemini-cli
Or install for OpenCode:
npx claude-mem install --ide opencode
Or install from the plugin marketplace inside Claude Code:
/plugin marketplace add thedotmack/claude-mem
/plugin install claude-mem
Restart Claude Code or Gemini CLI. Context from previous sessions will automatically appear in new sessions.
Note: Claude-Mem is also published on npm, but
npm install -g claude-meminstalls the SDK/library only — it does not register the plugin hooks or set up the worker service. Always install vianpx claude-mem installor the/plugincommands above.
🦞 OpenClaw Gateway
Install claude-mem as a persistent memory plugin on OpenClaw gateways with a single command:
curl -fsSL https://install.cmem.ai/openclaw.sh | bash
The installer handles dependencies, plugin setup, AI provider configuration, worker startup, and optional real-time observation feeds to Telegram, Discord, Slack, and more. See the OpenClaw Integration Guide for details.
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 on official website
Getting Started
Installation Guide - Quick start & advanced installation
Gemini CLI Setup - Dedicated guide for Google's Gemini CLI integration
Usage Guide - How Claude-Mem works automatically
Search Tools - Query your project history with natural language
Beta Features - Try experimental features like Endless Mode
Best Practices
Context Engineering - AI agent context optimization principles
Progressive Disclosure - Philosophy behind Claude-Mem's context priming strategy
Architecture
Overview - System components & data flow
Architecture Evolution - The journey from v3 to v5
Hooks Architecture - How Claude-Mem uses lifecycle hooks
Hooks Reference - 7 hook scripts explained
Worker Service - HTTP API & Bun management
Database - SQLite schema & FTS5 search
Search Architecture - Hybrid search with Chroma vector database
Configuration & Development
Configuration - Environment variables & settings
Development - Building, testing, contributing
Troubleshooting - Common issues & solutions
How It Works
Core Components:
5 Lifecycle Hooks - SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd (6 hook scripts)
Smart Install - Cached dependency checker (pre-hook script, not a lifecycle hook)
Worker Service - HTTP API on port 37777 with web viewer UI and 10 search endpoints, managed by Bun
SQLite Database - Stores sessions, observations, summaries
mem-search Skill - Natural language queries with progressive disclosure
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:
search- Get compact index with IDs (~50-100 tokens/result)timeline- Get chronological context around interesting resultsget_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
searchto get an index of resultsUse
timelineto see what was happening around specific observationsUse
get_observationsto fetch full details for relevant IDs~10x token savings by filtering before fetching details
Available MCP Tools:
search- Search memory index with full-text queries, filters by type/date/projecttimeline- Get chronological context around a specific observation or queryget_observations- Fetch full observation details by IDs (always batch multiple IDs)
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)
Windows Setup Notes
If you see an error like:
npm : The term 'npm' is not recognized as the name of a cmdlet
Make sure Node.js and npm are installed and added to your PATH. Download the latest Node.js installer from https://nodejs.org and restart your terminal after installation.
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.
Mode & Language Configuration
Claude-Mem supports multiple workflow modes and languages via the CLAUDE_MEM_MODE setting.
This option controls both:
The workflow behavior (e.g. code, chill, investigation)
The language used in generated observations
How to Configure
Edit your settings file at ~/.claude-mem/settings.json:
{
"CLAUDE_MEM_MODE": "code--zh"
}
Modes are defined in plugin/modes/. To see all available modes locally:
ls ~/.claude/plugins/marketplaces/thedotmack/plugin/modes/
Available Modes
ModeDescriptioncodeDefault English modecode--zhSimplified Chinese modecode--jaJapanese mode
Language-specific modes follow the pattern code--[lang] where [lang] is the ISO 639-1 language code (e.g., zh for Chinese, ja for Japanese, es for Spanish).
Note:
code--zh(Simplified Chinese) is already built-in — no additional installation or plugin update is required.
After Changing Mode
Restart Claude Code to apply the new mode configuration.
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:
Fork the repository
Create a feature branch
Make your changes with tests
Update documentation
Submit a Pull Request
See Development Guide for contribution workflow.
License
Claude-Mem is licensed under the Apache License 2.0.
We chose Apache-2.0 because durable agentic memory should be easy to embed in developer tools, local agents, MCP servers, enterprise systems, robotics stacks, and production agent harnesses.
See the LICENSE file for full details. See docs/license.md and docs/ip-boundary.md for licensing scope and the open/commercial boundary.
Note on Ragtime: The ragtime/ directory is licensed under the Apache License 2.0. See ragtime/LICENSE for details.
Support
Documentation: docs/
Issues: GitHub Issues
Repository: github.com/thedotmack/claude-mem
Official X Account: @Claude_Memory
Official Discord: Join Discord
Author: Alex Newman (@thedotmack)
Built with Claude Agent SDK | Works with Claude Code | Made with TypeScript
What About $CMEM?
$CMEM is a solana token created by a 3rd party without Claude-Mem's prior consent, but officially embraced by the creator of Claude-Mem (Alex Newman, @thedotmack). The token acts as a community catalyst for growth and a vehicle for bringing real-time agent data to the developers and knowledge workers that need it most. $CMEM: 2TsmuYUrsctE57VLckZBYEEzdokUF8j8e1GavekWBAGS
On this page
- Quick Start
- 🦞 OpenClaw Gateway
- Documentation
- Getting Started
- Best Practices
- Architecture
- Configuration & Development
- How It Works
- MCP Search Tools
- Beta Features
- System Requirements
- Windows Setup Notes
- Configuration
- Mode & Language Configuration
- How to Configure
- Available Modes
- After Changing Mode
- Restart Claude Code to apply the new mode configuration.
- Development
- Troubleshooting
- Bug Reports
- Contributing
- License
- Support
- What About $CMEM?