0e502dbd21
* feat: add smart-file-read module for token-optimized semantic code search - Created package.json for the smart-file-read module with dependencies and scripts. - Implemented parser.ts for code structure parsing using tree-sitter, supporting multiple languages. - Developed search.ts for searching code files and symbols with grep-style and structural matching. - Added test-run.mjs for testing search and outline functionalities. - Configured TypeScript with tsconfig.json for strict type checking and module resolution. * fix: update .gitignore to include _tree-sitter and remove unused subproject * feat: add preliminary results and skill recommendation for smart-explore module * chore: remove outdated plan.md file detailing session start hook issues * feat: update Smart File Read integration plan and skill documentation for smart-explore * feat: migrate Smart File Read to web-tree-sitter WASM for cross-platform compatibility * refactor: switch to tree-sitter CLI for parsing and enhance search functionality - Updated `parser.ts` to utilize the tree-sitter CLI for AST extraction instead of native bindings, improving compatibility and performance. - Removed grammar loading logic and replaced it with a path resolution for grammar packages. - Implemented batch parsing in `parseFilesBatch` to handle multiple files in a single CLI call, enhancing search speed. - Refactored `searchCodebase` to collect files and parse them in batches, streamlining the search process. - Adjusted symbol extraction logic to accommodate the new parsing method and ensure accurate symbol matching. * feat: update Smart File Read integration plan to utilize tree-sitter CLI for improved performance and cross-platform compatibility * feat: add smart-file-read parser and search to src/services Copy validated tree-sitter CLI-based parser and search modules from smart-file-read prototype into the claude-mem source tree for MCP tool integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: register smart_search, smart_unfold, smart_outline MCP tools Add 3 tree-sitter AST-based code exploration tools to the MCP server. Direct execution (no HTTP delegation) — they call parser/search functions directly for sub-second response times. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add tree-sitter CLI deps to build system and plugin runtime Externalize tree-sitter packages in esbuild MCP server build. Add 10 grammar packages + CLI to plugin package.json for runtime install. Remove unused @chroma-core/default-embed from plugin deps. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: create smart-explore skill with 3-layer workflow docs Progressive disclosure workflow: search -> outline -> unfold. Documents all 3 MCP tools with parameters and token economics. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Add comprehensive documentation for the smart-explore feature - Introduced a detailed technical reference covering the architecture, parser, search engine, and tool registration for the smart-explore feature in claude-mem. - Documented the three-layer workflow: search, outline, and unfold, along with their respective MCP tools. - Explained the parsing process using tree-sitter, including language support, query patterns, and symbol extraction. - Outlined the search module's functionality, including file discovery, batch parsing, and relevance scoring. - Provided insights into build system integration and token economics for efficient code exploration. * chore: remove experiment artifacts, prototypes, and plan files Remove A/B test docs, prototype smart-file-read directory, and implementation plans. Keep only production code. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: simplify hooks configuration and remove setup script * fix: use execFileSync to prevent command injection in tree-sitter parser Replaces execSync shell string with execFileSync + argument array, eliminating shell interpretation of file paths. Also corrects file_pattern description from "Glob pattern" to "Substring filter". Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Official $CMEM Links: Bags.fm • Jupiter • Photon • DEXScreener
Official CA: 2TsmuYUrsctE57VLckZBYEEzdokUF8j8e1GavekWBAGS (on Solana)
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Persistent memory compression system built for Claude Code.
Quick Start • How It Works • Search Tools • Documentation • Configuration • Troubleshooting • License
Claude-Mem seamlessly preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect.
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.
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. To use Claude-Mem as a plugin, always install via 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
- 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 results - Use
timelineto see what was happening around specific observations - Use
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.
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
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
- 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 | Powered by Claude Code | Made with TypeScript