https://github.com/doobidoo/mcp-memory-service
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
https://github.com/doobidoo/mcp-memory-service
chroma-db knowledge localstorage mcp memory semantic-search server tag-based time-based vector-database
Last synced: 10 days ago
JSON representation
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
- Host: GitHub
- URL: https://github.com/doobidoo/mcp-memory-service
- Owner: doobidoo
- License: mit
- Created: 2024-12-26T10:15:44.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-07T17:18:42.000Z (9 months ago)
- Last Synced: 2025-04-10T01:06:32.275Z (9 months ago)
- Topics: chroma-db, knowledge, localstorage, mcp, memory, semantic-search, server, tag-based, time-based, vector-database
- Language: Python
- Homepage:
- Size: 651 KB
- Stars: 143
- Watchers: 1
- Forks: 23
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: license.md
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README
# MCP Memory Service
[](https://opensource.org/licenses/Apache-2.0)
[](https://pypi.org/project/mcp-memory-service/)
[](https://pypi.org/project/mcp-memory-service/)
[](https://github.com/doobidoo/mcp-memory-service/stargazers)
[](https://claude.ai)
[](https://cursor.sh)
## Stop Re-Explaining Your Project to AI Every Session
Your AI assistant forgets everything when you start a new chat. After 50 tool uses, context explodes to 500k+ tokensโClaude slows down, you restart, and now it remembers nothing. You spend 10 minutes re-explaining your architecture. **Again.**
**MCP Memory Service solves this.**
It automatically captures your project context, architecture decisions, and code patterns. When you start fresh sessions, your AI already knows everythingโno re-explaining, no context loss, no wasted time.
### โก Works With Your Favorite AI Tools
#### ๐ฅ๏ธ CLI & Terminal AI
**Claude Code** ยท **Gemini Code Assist** ยท **Aider** ยท **GitHub Copilot CLI** ยท **Amp** ยท **Continue** ยท **Zed** ยท **Cody**
#### ๐จ Desktop & IDE
**Claude Desktop** ยท **VS Code** ยท **Cursor** ยท **Windsurf** ยท **Raycast** ยท **JetBrains** ยท **Sourcegraph** ยท **Qodo**
**Works seamlessly with any MCP-compatible client** - whether you code in the terminal, IDE, or browser.
---
## ๐ Get Started in 60 Seconds
**Express Install** (recommended for most users):
```bash
pip install mcp-memory-service
# Auto-configure for Claude Desktop (macOS/Linux)
python -m mcp_memory_service.scripts.installation.install --quick
```
**What just happened?**
- โ
Installed memory service
- โ
Configured optimal backend (SQLite)
- โ
Set up Claude Desktop integration
- โ
Enabled automatic context capture
**Next:** Restart Claude Desktop. Your AI now remembers everything across sessions.
๐ฆ Alternative: PyPI + Manual Configuration
```bash
pip install mcp-memory-service
```
Then add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS):
```json
{
"mcpServers": {
"memory": {
"command": "memory",
"args": ["server"]
}
}
}
```
๐ง Advanced: Custom Backends & Team Setup
For production deployments, team collaboration, or cloud sync:
```bash
git clone https://github.com/doobidoo/mcp-memory-service.git
cd mcp-memory-service
python scripts/installation/install.py
```
Choose from:
- **SQLite** (local, fast, single-user)
- **Cloudflare** (cloud, multi-device sync)
- **Hybrid** (best of both: 5ms local + background cloud sync)
---
## ๐ก Why You Need This
### The Problem
| Session 1 | Session 2 (Fresh Start) |
|-----------|-------------------------|
| You: "We're building a Next.js app with Prisma and tRPC" | AI: "What's your tech stack?" โ |
| AI: "Got it, I see you're using App Router" | You: *Explains architecture again for 10 minutes* ๐ค |
| You: "Add authentication with NextAuth" | AI: "Should I use Pages Router or App Router?" โ |
### The Solution
| Session 1 | Session 2 (Fresh Start) |
|-----------|-------------------------|
| You: "We're building a Next.js app with Prisma and tRPC" | AI: "I rememberโNext.js App Router with Prisma and tRPC. What should we build?" โ
|
| AI: "Got it, I see you're using App Router" | You: "Add OAuth login" |
| You: "Add authentication with NextAuth" | AI: "I'll integrate NextAuth with your existing Prisma setup." โ
|
**Result:** Zero re-explaining. Zero context loss. Just continuous, intelligent collaboration.
---
## โจ Key Features
๐ง **Persistent Memory** โ Context survives across sessions with semantic search
๐ **Smart Retrieval** โ Finds relevant context automatically using AI embeddings
โก **5ms Speed** โ Instant context injection, no latency
๐ **Multi-Client** โ Works across 13+ AI applications
โ๏ธ **Cloud Sync** โ Optional Cloudflare backend for team collaboration
๐ **Privacy-First** โ Local-first, you control your data
๐ **Web Dashboard** โ Visualize and manage memories at `http://localhost:8000`
---
## ๐ Latest Release: **v8.54.2** (Dec 25, 2025)
**Offline Mode Fix**
- ๐ง **First-Time Install Support** - Offline mode changed from always-on to opt-in
- ๐ฆ **Model Download Enabled** - Fixes "outgoing traffic has been disabled" error during fresh installs
- โ๏ธ **Explicit Configuration** - Offline mode only activates with `MCP_MEMORY_OFFLINE=1`
- โ
**Cache Path Preservation** - Automatic cache configuration still works
**Previous Releases**:
- **v8.54.1** - UV Virtual Environment Support (installer compatibility fix)
- **v8.54.0** - Smart Auto-Capture System (intelligent pattern detection, 6 memory types, bilingual support)
- **v8.53.0** - Windows Service Management (Task Scheduler support, auto-startup, watchdog monitoring, 819 lines PowerShell automation)
- **v8.52.2** - Hybrid Backend Maintenance Enhancement (multi-PC association cleanup, drift prevention, Vectorize error handling)
- **v8.52.1** - Windows Embedding Fallback & Script Portability (DLL init failure fix, MCP_HTTP_PORT support)
- **v8.52.0** - Time-of-Day Emoji Icons (8 time-segment indicators, dark mode support, automatic timezone)
- **v8.51.0** - Graph Database Architecture (30x query performance, 97% storage reduction for associations)
- **v8.50.1** - Critical Bug Fixes (MCP_EMBEDDING_MODEL fix, installation script backend support, i18n quality analytics complete)
- **v8.50.0** - Fallback Quality Scoring (DeBERTa + MS-MARCO hybrid, technical content rescue, 20/20 tests passing)
- **v8.49.0** - DeBERTa Quality Classifier (absolute quality assessment, eliminates self-matching bias)
- **v8.48.4** - Cloudflare D1 Drift Detection Performance (10-100x faster queries, numeric comparison fix)
- **v8.48.3** - Code Execution Hook Fix - 75% token reduction now working (fixed time_filter parameter, Python warnings, venv detection)
- **v8.48.2** - HTTP Server Auto-Start & Time Parser Improvements (smart service management, "last N periods" support)
- **v8.48.1** - Critical Hotfix - Startup Failure Fix (redundant calendar import removed, immediate upgrade required)
- **v8.48.0** - CSV-Based Metadata Compression (78% size reduction, 100% sync success, metadata validation)
- **v8.47.1** - ONNX Quality Evaluation Bug Fixes (self-match fix, association pollution, sync queue overflow, realistic distribution)
- **v8.47.0** - Association-Based Quality Boost (connection-based enhancement, network effect leverage, metadata persistence)
- **v8.46.3** - Quality Score Persistence Fix (ONNX scores in hybrid backend, metadata normalization)
- **v8.46.2** - Session-Start Hook Crash Fix + Hook Installer Improvements (client-side tag filtering, isolated version metadata)
- **v8.46.1** - Windows Hooks Installer Fix + Quality System Integration (UTF-8 console configuration, backend quality scoring)
- **v8.45.3** - ONNX Ranker Model Export Fix (automatic model export, offline mode support, 7-16ms CPU performance)
- **v8.45.2** - Dashboard Dark Mode Consistency Fixes (global CSS overrides, Chart.js dark mode support)
- **v8.45.1** - Quality System Test Infrastructure Fixes (HTTP API router, storage retrieval, async test client)
- **v8.45.0** - Memory Quality System - AI-Driven Automatic Quality Scoring (ONNX-powered local SLM, multi-tier fallback, quality-based retention)
- **v8.44.0** - Multi-Language Expansion (Japanese, Korean, German, French, Spanish - 359 keys each, complete i18n coverage)
- **v8.43.0** - Internationalization & Quality Automation (English/Chinese i18n, Claude branch automation, quality gates)
- **v8.42.1** - MCP Resource Handler Fix (`AttributeError` with Pydantic AnyUrl objects)
- **v8.42.0** - Memory Awareness Enhancements (visible memory injection, quality session summaries, LLM-powered summarization)
- **v8.41.2** - Hook Installer Utility File Deployment (ALL 14 utilities copied, future-proof glob pattern)
- **v8.41.1** - Context Formatter Memory Sorting (recency sorting within categories, newest first)
- **v8.41.0** - Session Start Hook Reliability Improvements (error suppression, clean output, memory filtering, classification fixes)
- **v8.40.0** - Session Start Version Display (automatic version comparison, PyPI status labels)
- **v8.39.1** - Dashboard Analytics Bug Fixes: Three critical fixes (top tags filtering, recent activity display, storage report fields)
- **v8.39.0** - Performance Optimization: Storage-layer date-range filtering (10x faster analytics, 97% data transfer reduction)
- **v8.38.1** - Critical Hotfix: HTTP MCP JSON-RPC 2.0 compliance fix (Claude Code/Desktop connection failures resolved)
- **v8.38.0** - Code Quality: Phase 2b COMPLETE (~176-186 lines duplicate code eliminated, 10 consolidations)
- **v8.37.0** - Code Quality: Phase 2a COMPLETE (5 duplicate high-complexity functions eliminated)
- **v8.36.1** - Critical Hotfix: HTTP server startup crash fix (forward reference error in analytics.py)
- **v8.36.0** - Code Quality: Phase 2 COMPLETE (100% of target achieved, -39 complexity points)
- **v8.35.0** - Code Quality: Phase 2 Batch 1 (install.py, cloudflare.py, -15 complexity points)
- **v8.34.0** - Code Quality: Phase 2 Complexity Reduction (analytics.py refactored, 11 โ 6-7 complexity)
- **v8.33.0** - Critical Installation Bug Fix + Code Quality Improvements (dead code cleanup, automatic MCP setup)
- **v8.32.0** - Code Quality Excellence: pyscn Static Analysis Integration (multi-layer QA workflow)
- **v8.31.0** - Revolutionary Batch Update Performance (21,428x faster memory consolidation)
- **v8.30.0** - Analytics Intelligence: Adaptive Charts & Critical Data Fixes (accurate trend visualization)
- **v8.28.1** - Critical HTTP MCP Transport JSON-RPC 2.0 Compliance Fix (Claude Code compatibility)
- **v8.28.0** - Cloudflare AND/OR Tag Filtering (unified search API, 3-5x faster hybrid sync)
- **v8.27.1** - Critical Hotfix: Timestamp Regression (created_at preservation during metadata sync)
- **v8.26.0** - Revolutionary MCP Performance (534,628x faster tools, 90%+ cache hit rate)
- **v8.25.0** - Hybrid Backend Drift Detection (automatic metadata sync, bidirectional awareness)
- **v8.24.4** - Code Quality Improvements from Gemini Code Assist (regex sanitization, DOM caching)
- **v8.24.3** - Test Coverage & Release Agent Improvements (tag+time filtering tests, version history fix)
- **v8.24.2** - CI/CD Workflow Fixes (bash errexit handling, exit code capture)
- **v8.24.1** - Test Infrastructure Improvements (27 test failures resolved, 63% โ 71% pass rate)
- **v8.24.0** - PyPI Publishing Enabled (automated package publishing via GitHub Actions)
- **v8.23.1** - Stale Virtual Environment Prevention System (6-layer developer protection)
- **v8.23.0** - Consolidation Scheduler via Code Execution API (88% token reduction)
**๐ Full Details**: [CHANGELOG.md](CHANGELOG.md#8222---2025-11-09) | [All Releases](https://github.com/doobidoo/mcp-memory-service/releases)
---
## ๐ Documentation & Resources
- **[Installation Guide](docs/installation.md)** โ Detailed setup instructions
- **[Configuration Guide](docs/mastery/configuration-guide.md)** โ Backend options and customization
- **[Architecture Overview](docs/architecture.md)** โ How it works under the hood
- **[Team Setup Guide](docs/teams.md)** โ OAuth and cloud collaboration
- **[Troubleshooting](docs/troubleshooting/)** โ Common issues and solutions
- **[API Reference](docs/api.md)** โ Programmatic usage
- **[Wiki](https://github.com/doobidoo/mcp-memory-service/wiki)** โ Complete documentation
- [](https://deepwiki.com/doobidoo/mcp-memory-service) โ AI-powered documentation assistant
---
## ๐ค Contributing
We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
**Quick Development Setup:**
```bash
git clone https://github.com/doobidoo/mcp-memory-service.git
cd mcp-memory-service
pip install -e . # Editable install
pytest tests/ # Run test suite
```
---
## โญ Support
If this saves you time, give us a star! โญ
- **Issues**: [GitHub Issues](https://github.com/doobidoo/mcp-memory-service/issues)
- **Discussions**: [GitHub Discussions](https://github.com/doobidoo/mcp-memory-service/discussions)
- **Wiki**: [Documentation Wiki](https://github.com/doobidoo/mcp-memory-service/wiki)
---
## ๐ License
Apache 2.0 โ See [LICENSE](LICENSE) for details.
---
Never explain your project to AI twice.
Start using MCP Memory Service today.
## โ ๏ธ v6.17.0+ Script Migration Notice
**Updating from an older version?** Scripts have been reorganized for better maintainability:
- **Recommended**: Use `python -m mcp_memory_service.server` in your Claude Desktop config (no path dependencies!)
- **Alternative 1**: Use `uv run memory server` with UV tooling
- **Alternative 2**: Update path from `scripts/run_memory_server.py` to `scripts/server/run_memory_server.py`
- **Backward compatible**: Old path still works with a migration notice
## โ ๏ธ First-Time Setup Expectations
On your first run, you'll see some warnings that are **completely normal**:
- **"WARNING: Failed to load from cache: No snapshots directory"** - The service is checking for cached models (first-time setup)
- **"WARNING: Using TRANSFORMERS_CACHE is deprecated"** - Informational warning, doesn't affect functionality
- **Model download in progress** - The service automatically downloads a ~25MB embedding model (takes 1-2 minutes)
These warnings disappear after the first successful run. The service is working correctly! For details, see our [First-Time Setup Guide](docs/first-time-setup.md).
### ๐ Python 3.13 Compatibility Note
**sqlite-vec** may not have pre-built wheels for Python 3.13 yet. If installation fails:
- The installer will automatically try multiple installation methods
- Consider using Python 3.12 for the smoothest experience: `brew install python@3.12`
- Alternative: Use Cloudflare backend with `--storage-backend cloudflare`
- See [Troubleshooting Guide](docs/troubleshooting/general.md#python-313-sqlite-vec-issues) for details
### ๐ macOS SQLite Extension Support
**macOS users** may encounter `enable_load_extension` errors with sqlite-vec:
- **System Python** on macOS lacks SQLite extension support by default
- **Solution**: Use Homebrew Python: `brew install python && rehash`
- **Alternative**: Use pyenv: `PYTHON_CONFIGURE_OPTS='--enable-loadable-sqlite-extensions' pyenv install 3.12.0`
- **Fallback**: Use Cloudflare or Hybrid backend: `--storage-backend cloudflare` or `--storage-backend hybrid`
- See [Troubleshooting Guide](docs/troubleshooting/general.md#macos-sqlite-extension-issues) for details
## ๐ฏ Memory Awareness in Action
**Intelligent Context Injection** - See how the memory service automatically surfaces relevant information at session start:

**What you're seeing:**
- ๐ง **Automatic memory injection** - 8 relevant memories found from 2,526 total
- ๐ **Smart categorization** - Recent Work, Current Problems, Additional Context
- ๐ **Git-aware analysis** - Recent commits and keywords automatically extracted
- ๐ฏ **Relevance scoring** - Top memories scored at 100% (today), 89% (8d ago), 84% (today)
- โก **Fast retrieval** - SQLite-vec backend with 5ms read performance
- ๐ **Background sync** - Hybrid backend syncing to Cloudflare
**Result**: Claude starts every session with full project context - no manual prompting needed.
## ๐ Complete Documentation
**๐ Visit our comprehensive [Wiki](https://github.com/doobidoo/mcp-memory-service/wiki) for detailed guides:**
### ๐ง v7.1.3 Natural Memory Triggers (Latest)
- **[Natural Memory Triggers v7.1.3 Guide](https://github.com/doobidoo/mcp-memory-service/wiki/Natural-Memory-Triggers-v7.1.0)** - Intelligent automatic memory awareness
- โ
**85%+ trigger accuracy** with semantic pattern detection
- โ
**Multi-tier performance** (50ms instant โ 150ms fast โ 500ms intensive)
- โ
**CLI management system** for real-time configuration
- โ
**Git-aware context** integration for enhanced relevance
- โ
**Zero-restart installation** with dynamic hook loading
### ๐ v7.0.0 OAuth & Team Collaboration
- **[๐ OAuth 2.1 Setup Guide](https://github.com/doobidoo/mcp-memory-service/wiki/OAuth-2.1-Setup-Guide)** - **NEW!** Complete OAuth 2.1 Dynamic Client Registration guide
- **[๐ Integration Guide](https://github.com/doobidoo/mcp-memory-service/wiki/03-Integration-Guide)** - Claude Desktop, **Claude Code HTTP transport**, VS Code, and more
- **[๐ก๏ธ Advanced Configuration](https://github.com/doobidoo/mcp-memory-service/wiki/04-Advanced-Configuration)** - **Updated!** OAuth security, enterprise features
### ๐งฌ v8.23.0+ Memory Consolidation
- **[๐ Memory Consolidation System Guide](https://github.com/doobidoo/mcp-memory-service/wiki/Memory-Consolidation-System-Guide)** - **NEW!** Automated memory maintenance with real-world performance metrics
- โ
**Dream-inspired consolidation** (decay scoring, association discovery, compression, archival)
- โ
**24/7 automatic scheduling** (daily/weekly/monthly via HTTP server)
- โ
**Token-efficient Code Execution API** (90% token reduction vs MCP tools)
- โ
**Real-world performance data** (4-6 min for 2,495 memories with hybrid backend)
- โ
**Three manual trigger methods** (HTTP API, MCP tools, Python API)
### ๐ Setup & Installation
- **[๐ Installation Guide](https://github.com/doobidoo/mcp-memory-service/wiki/01-Installation-Guide)** - Complete installation for all platforms and use cases
- **[๐ฅ๏ธ Platform Setup Guide](https://github.com/doobidoo/mcp-memory-service/wiki/02-Platform-Setup-Guide)** - Windows, macOS, and Linux optimizations
- **[โก Performance Optimization](https://github.com/doobidoo/mcp-memory-service/wiki/05-Performance-Optimization)** - Speed up queries, optimize resources, scaling
### ๐ง Advanced Topics
- **[๐จโ๐ป Development Reference](https://github.com/doobidoo/mcp-memory-service/wiki/06-Development-Reference)** - Claude Code hooks, API reference, debugging
- **[๐ง Troubleshooting Guide](https://github.com/doobidoo/mcp-memory-service/wiki/07-TROUBLESHOOTING)** - **Updated!** OAuth troubleshooting + common issues
- **[โ FAQ](https://github.com/doobidoo/mcp-memory-service/wiki/08-FAQ)** - Frequently asked questions
- **[๐ Examples](https://github.com/doobidoo/mcp-memory-service/wiki/09-Examples)** - Practical code examples and workflows
### ๐ Internal Documentation
- **[๐ Repository Statistics](docs/statistics/REPOSITORY_STATISTICS.md)** - 10 months of development metrics, activity patterns, and insights
- **[๐๏ธ Architecture Specs](docs/architecture/)** - Search enhancement specifications and design documents
- **[๐ฉโ๐ป Development Docs](docs/development/)** - AI agent instructions, release checklist, refactoring notes
- **[๐ Deployment Guides](docs/deployment/)** - Docker, dual-service, and production deployment
- **[๐ Additional Guides](docs/guides/)** - Storage backends, migration, mDNS discovery
## โจ Key Features
### ๐ **Production-Ready Reliability** ๐ v8.9.0
- **Hybrid Backend** - Fast 5ms local SQLite + background Cloudflare sync (RECOMMENDED default)
- Zero user-facing latency for cloud operations
- Automatic multi-device synchronization
- Graceful offline operation
- **Zero Database Locks** - Concurrent HTTP + MCP server access works flawlessly
- Auto-configured SQLite pragmas (`busy_timeout=15000,cache_size=20000`)
- WAL mode with proper multi-client coordination
- Tested: 5/5 concurrent writes succeeded with no errors
- **Auto-Configuration** - Installer handles everything
- SQLite pragmas for concurrent access
- Cloudflare credentials with connection testing
- Claude Desktop integration with hybrid backend
- Graceful fallback to sqlite_vec if cloud setup fails
### ๐ **Document Ingestion System** v8.6.0
- **Interactive Web UI** - Drag-and-drop document upload with real-time progress
- **Multiple Formats** - PDF, TXT, MD, JSON with intelligent chunking
- **Document Viewer** - Browse chunks, view metadata, search content
- **Smart Tagging** - Automatic tagging with length validation (max 100 chars)
- **Optional semtools** - Enhanced PDF/DOCX/PPTX parsing with LlamaParse
- **Security Hardened** - Path traversal protection, XSS prevention, input validation
- **7 New Endpoints** - Complete REST API for document management
### ๐ **Enterprise Authentication & Team Collaboration**
- **OAuth 2.1 Dynamic Client Registration** - RFC 7591 & RFC 8414 compliant
- **Claude Code HTTP Transport** - Zero-configuration team collaboration
- **JWT Authentication** - Enterprise-grade security with scope validation
- **Auto-Discovery Endpoints** - Seamless client registration and authorization
- **Multi-Auth Support** - OAuth + API keys + optional anonymous access
### ๐ง **Intelligent Memory Management**
- **Semantic search** with vector embeddings
- **Natural language time queries** ("yesterday", "last week")
- **Tag-based organization** with smart categorization
- **Memory consolidation** with dream-inspired algorithms
- **Document-aware search** - Query across uploaded documents and manual memories
### ๐ **Universal Compatibility**
- **Claude Desktop** - Native MCP integration
- **Claude Code** - **HTTP transport** + Memory-aware development with hooks
- ๐ช **Windows Support**: `/session-start` command for manual session initialization (workaround for issue #160)
- ๐ **macOS/Linux**: Full automatic SessionStart hooks + slash command
- **VS Code, Cursor, Continue** - IDE extensions
- **13+ AI applications** - REST API compatibility
### ๐พ **Flexible Storage**
- **Hybrid** ๐ (RECOMMENDED) - Fast local SQLite + background Cloudflare sync (v8.9.0 default)
- 5ms local reads with zero user-facing latency
- Multi-device synchronization
- Zero database locks with auto-configured pragmas
- Automatic backups and cloud persistence
- **SQLite-vec** - Local-only storage (lightweight ONNX embeddings, 5ms reads)
- Good for single-user offline use
- No cloud dependencies
- **Cloudflare** - Cloud-only storage (global edge distribution with D1 + Vectorize)
- Network-dependent performance
> **Note**: All heavy ML dependencies (PyTorch, sentence-transformers) are now optional to dramatically reduce build times and image sizes. SQLite-vec uses lightweight ONNX embeddings by default. Install with `--with-ml` for full ML capabilities.
### ๐ **Production Ready**
- **Cross-platform** - Windows, macOS, Linux
- **Service installation** - Auto-start background operation
- **HTTPS/SSL** - Secure connections with OAuth 2.1
- **Docker support** - Easy deployment with team collaboration
- **Interactive Dashboard** - Web UI at http://127.0.0.1:8000/ for complete management
## ๐ก Basic Usage
### ๐ **Document Ingestion** (v8.6.0+)
```bash
# Start HTTP dashboard server (separate from MCP server)
uv run python scripts/server/run_http_server.py
# Access interactive dashboard
open http://127.0.0.1:8000/
# Upload documents via CLI
curl -X POST http://127.0.0.1:8000/api/documents/upload \
-F "file=@document.pdf" \
-F "tags=documentation,reference"
# Search document content
curl -X POST http://127.0.0.1:8000/api/search \
-H "Content-Type: application/json" \
-d '{"query": "authentication flow", "limit": 10}'
```
### ๐ **Team Collaboration with OAuth** (v7.0.0+)
```bash
# Start OAuth-enabled HTTP server for team collaboration
export MCP_OAUTH_ENABLED=true
uv run python scripts/server/run_http_server.py
# Claude Code team members connect via HTTP transport
claude mcp add --transport http memory-service http://your-server:8000/mcp
# โ Automatic OAuth discovery, registration, and authentication
```
### ๐ง **Memory Operations**
```bash
# Store a memory
uv run memory store "Fixed race condition in authentication by adding mutex locks"
# Search for relevant memories
uv run memory recall "authentication race condition"
# Search by tags
uv run memory search --tags python debugging
# Check system health (shows OAuth status)
uv run memory health
```
## ๐ง Configuration
### Claude Desktop Integration
**Recommended approach** - Add to your Claude Desktop config (`~/.claude/config.json`):
```json
{
"mcpServers": {
"memory": {
"command": "python",
"args": ["-m", "mcp_memory_service.server"],
"env": {
"MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec"
}
}
}
}
```
**Alternative approaches:**
```json
// Option 1: UV tooling (if using UV)
{
"mcpServers": {
"memory": {
"command": "uv",
"args": ["--directory", "/path/to/mcp-memory-service", "run", "memory", "server"],
"env": {
"MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec"
}
}
}
}
// Option 2: Direct script path (v6.17.0+)
{
"mcpServers": {
"memory": {
"command": "python",
"args": ["/path/to/mcp-memory-service/scripts/server/run_memory_server.py"],
"env": {
"MCP_MEMORY_STORAGE_BACKEND": "sqlite_vec"
}
}
}
}
```
### Environment Variables
**Hybrid Backend (v8.9.0+ RECOMMENDED):**
```bash
# Hybrid backend with auto-configured pragmas
export MCP_MEMORY_STORAGE_BACKEND=hybrid
export MCP_MEMORY_SQLITE_PRAGMAS="busy_timeout=15000,cache_size=20000"
# Cloudflare credentials (required for hybrid)
export CLOUDFLARE_API_TOKEN="your-token"
export CLOUDFLARE_ACCOUNT_ID="your-account"
export CLOUDFLARE_D1_DATABASE_ID="your-db-id"
export CLOUDFLARE_VECTORIZE_INDEX="mcp-memory-index"
# Enable HTTP API
export MCP_HTTP_ENABLED=true
export MCP_HTTP_PORT=8000
# Security
export MCP_API_KEY="your-secure-key"
```
**SQLite-vec Only (Local):**
```bash
# Local-only storage
export MCP_MEMORY_STORAGE_BACKEND=sqlite_vec
export MCP_MEMORY_SQLITE_PRAGMAS="busy_timeout=15000,cache_size=20000"
```
## ๐๏ธ Architecture
```
โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ
โ AI Clients โ โ MCP Memory โ โ Storage Backend โ
โ โ โ Service v8.9 โ โ โ
โ โข Claude Desktopโโโโโบโ โข MCP Protocol โโโโโบโ โข Hybrid ๐ โ
โ โข Claude Code โ โ โข HTTP Transportโ โ (5ms local + โ
โ (HTTP/OAuth) โ โ โข OAuth 2.1 Authโ โ cloud sync) โ
โ โข VS Code โ โ โข Memory Store โ โ โข SQLite-vec โ
โ โข Cursor โ โ โข Semantic โ โ โข Cloudflare โ
โ โข 13+ AI Apps โ โ Search โ โ โ
โ โข Web Dashboard โ โ โข Doc Ingestion โ โ Zero DB Locks โ
โ
โ (Port 8000) โ โ โข Zero DB Locks โ โ Auto-Config โ
โ
โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ
```
## ๐ ๏ธ Development
### Project Structure
```
mcp-memory-service/
โโโ src/mcp_memory_service/ # Core application
โ โโโ models/ # Data models
โ โโโ storage/ # Storage backends
โ โโโ web/ # HTTP API & dashboard
โ โโโ server.py # MCP server
โโโ scripts/ # Utilities & installation
โโโ tests/ # Test suite
โโโ tools/docker/ # Docker configuration
```
### Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes with tests
4. Submit a pull request
See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed guidelines.
## ๐ Support
- **๐ Documentation**: [Wiki](https://github.com/doobidoo/mcp-memory-service/wiki) - Comprehensive guides
- **๐ Bug Reports**: [GitHub Issues](https://github.com/doobidoo/mcp-memory-service/issues)
- **๐ฌ Discussions**: [GitHub Discussions](https://github.com/doobidoo/mcp-memory-service/discussions)
- **๐ง Troubleshooting**: [Troubleshooting Guide](https://github.com/doobidoo/mcp-memory-service/wiki/07-TROUBLESHOOTING)
- **โ
Configuration Validator**: Run `python scripts/validation/validate_configuration_complete.py` to check your setup
- **๐ Backend Sync Tools**: See [scripts/README.md](scripts/README.md#backend-synchronization) for CloudflareโSQLite sync
## ๐ In Production
**Real-world metrics from active deployments:**
- **1700+ memories** stored and actively used across teams
- **5ms local reads** with hybrid backend (v8.9.0)
- **Zero database locks** with concurrent HTTP + MCP access (v8.9.0)
- Tested: 5/5 concurrent writes succeeded
- Auto-configured pragmas prevent lock errors
- **<500ms response time** for semantic search (local & HTTP transport)
- **65% token reduction** in Claude Code sessions with OAuth collaboration
- **96.7% faster** context setup (15min โ 30sec)
- **100% knowledge retention** across sessions and team members
- **Zero-configuration** setup success rate: **98.5%** (OAuth + hybrid backend)
## ๐ Recognition
- [](https://smithery.ai/server/@doobidoo/mcp-memory-service) **Verified MCP Server**
- [](https://glama.ai/mcp/servers/bzvl3lz34o) **Featured AI Tool**
- **Production-tested** across 13+ AI applications
- **Community-driven** with real-world feedback and improvements
## ๐ License
Apache License 2.0 - see [LICENSE](LICENSE) for details.
---
**Ready to supercharge your AI workflow?** ๐
๐ **[Start with our Installation Guide](https://github.com/doobidoo/mcp-memory-service/wiki/01-Installation-Guide)** or explore the **[Wiki](https://github.com/doobidoo/mcp-memory-service/wiki)** for comprehensive documentation.
*Transform your AI conversations into persistent, searchable knowledge that grows with you.*