The MCP Memory Service provides semantic memory and persistent storage for Claude Desktop. Key capabilities include:
Store information with optional metadata tags
Retrieve memories using semantic search with similarity scores
Search by tags to find stored memories
Time-based recall using natural language expressions
Find memories via exact content match
Manage duplicates by detecting and removing them
Database operations: optimization, health monitoring, statistics
Memory management: delete specific memories or tagged sets
Data protection: create automatic backups
Debug tools for analyzing retrieval processes
Cross-platform compatibility with hardware-aware optimization
Mentioned as a potential cloud storage option where users should ensure sync is complete before accessing from another device.
MCP Memory Service
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+ tokens—Claude 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 everything—no re-explaining, no context loss, no wasted time.
⚡ Works With Your Favorite AI Tools
🖥️ CLI & Terminal AI
Claude Code · Gemini Code Assist · Aider · GitHub Copilot CLI · Amp · Continue · Zed · Cody
🎨 Desktop & IDE
Claude Desktop · VS Code · Cursor · Windsurf · Raycast · JetBrains · Sourcegraph · Qodo
Works seamlessly with any MCP-compatible client - whether you code in the terminal, IDE, or browser.
Related MCP server: MCP DuckDB Knowledge Graph Memory Server
🚀 Get Started in 60 Seconds
Express Install (recommended for most users):
What just happened?
✅ Installed memory service
✅ Configured optimal backend (SQLite)
✅ Set up Claude Desktop integration
✅ Enabled automatic context capture
Next: Restart Claude Desktop. Your AI now remembers everything across sessions.
Then add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
For production deployments, team collaboration, or cloud sync:
Choose from:
SQLite (local, fast, single-user)
Cloudflare (cloud, multi-device sync)
Hybrid (best of both: 5ms local + background cloud sync)
💡 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?" ❌ |
AI: "Got it, I see you're using App Router" | You: Explains architecture again for 10 minutes 😤 |
You: "Add authentication with NextAuth" | AI: "Should I use Pages Router or App Router?" ❌ |
The Solution
Session 1 | Session 2 (Fresh Start) |
You: "We're building a Next.js app with Prisma and tRPC" | AI: "I remember—Next.js App Router with Prisma and tRPC. What should we build?" ✅ |
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." ✅ |
Result: Zero re-explaining. Zero context loss. Just continuous, intelligent collaboration.
🌐 SHODH Ecosystem Compatibility
MCP Memory Service is fully compatible with the SHODH Unified Memory API Specification v1.0.0, enabling seamless interoperability across the SHODH ecosystem.
Compatible Implementations
Implementation | Backend | Embeddings | Use Case |
RocksDB | MiniLM-L6-v2 (ONNX) | Reference implementation | |
Cloudflare Workers + Vectorize | Workers AI (bge-small) | Edge deployment, multi-device sync | |
mcp-memory-service (this) | SQLite-vec / Hybrid | MiniLM-L6-v2 (ONNX) | Desktop AI assistants (MCP) |
Unified Schema Support
All SHODH implementations share the same memory schema:
✅ Emotional Metadata:
emotion,emotional_valence,emotional_arousal✅ Episodic Memory:
episode_id,sequence_number,preceding_memory_id✅ Source Tracking:
source_type,credibility✅ Quality Scoring:
quality_score,access_count,last_accessed_at
Interoperability Example: Export memories from mcp-memory-service → Import to shodh-cloudflare → Sync across devices → Full fidelity preservation of emotional_valence, episode_id, and all spec fields.
✨ Key Features
🧠 Persistent Memory – Context survives across sessions with semantic search
🔍 Smart Retrieval – Finds relevant context automatically using AI embeddings
⚡ 5ms Speed – Instant context injection, no latency
🔄 Multi-Client – Works across 13+ AI applications
☁️ Cloud Sync – Optional Cloudflare backend for team collaboration
🔒 Privacy-First – Local-first, you control your data
📊 Web Dashboard – Visualize and manage memories at http://localhost:8000
🆕 Latest Release: v8.63.0 (Jan 2, 2026)
Dashboard Bulk Operations & SHODH Ecosystem Integration
🗑️ Delete Untagged Memories - New bulk operation in Dashboard Manage tab with smart visibility
🌐 SHODH API Spec v1.0.0 - Full compatibility with unified memory ecosystem (emotional metadata, episodic memory, source tracking)
🏷️ Tag Matching Fix - Exact case-sensitive tag matching (GLOB pattern replaces LIKE)
🎨 Dashboard UX - Fixed empty toast errors, untagged count display, smart card visibility
🐳 Docker Optimization - Consolidated RUN commands, reduced layers, faster builds
✅ CI Stability - 15+ test fixes, 83% improvement in test pass rate
Previous Releases:
v8.62.13 - HTTP-MCP Bridge API Endpoint Fix (Remote deployments restored with POST endpoints)
v8.62.12 - Quality Analytics UI Fixed ("Invalid Date" and "ID: undefined" bugs)
v8.62.10 - Document Ingestion Bug Fixed (NameError in web console, circular import prevention)
v8.62.9 - CI Race Condition & TypeError Fixed (hybrid backend task cleanup, None value handling)
v8.62.8 - Environment Configuration Loading Bug Fixed (.env discovery, python-dotenv dependency)
v8.62.7 - Windows SessionStart Hook Bug Fixed in Claude Code 2.0.76+ (no more Windows hanging)
v8.62.6 - CRITICAL PRODUCTION HOTFIX: SQLite Pragmas Container Restart Bug (database locking errors after container restarts)
v8.62.5 - Test Suite Stability: 40 Tests Fixed (99% pass rate, 68% → 99% improvement)
v8.62.4 - CRITICAL BUGFIX: SQLite-Vec KNN Syntax Error (semantic search completely broken on sqlite-vec/hybrid backends)
v8.62.3 - CRITICAL BUGFIX: Memory Recall Handler Import Error (time_parser import path correction)
v8.62.2 - Test Infrastructure Improvements (5 test failures resolved, consolidation & performance suite stability)
v8.62.1 - Critical Bug Fix: SessionEnd Hook Real Conversation Data (hardcoded mock data fix, robust transcript parsing)
v8.62.0 - Comprehensive Test Coverage Infrastructure - 100% Handler Coverage Achievement (35 tests, 800+ lines, CI/CD gate)
v8.61.2 - CRITICAL HOTFIX: delete_memory KeyError Fix (response parsing, validated delete flow)
v8.61.1 - CRITICAL HOTFIX: Import Error Fix (5 MCP tools restored, relative import path correction)
v8.60.0 - Health Check Strategy Pattern Refactoring - Phase 3.1 (78% complexity reduction, Strategy pattern)
v8.59.0 - Server Architecture Refactoring - Phase 2 (40% code reduction, 29 handlers extracted, 5 specialized modules)
v8.58.0 - Test Infrastructure Stabilization - 100% Pass Rate Achievement (81.6% → 100%, 52 tests fixed)
v8.57.1 - Hotfix: Python -m Execution Support for CI/CD (server/main.py, --version/--help flags)
v8.57.0 - Test Infrastructure Improvements - Major Stability Boost (+6% pass rate, 32 tests fixed)
v8.56.0 - Server Architecture Refactoring - Phase 1 (4 focused modules, -7% lines, backward compatible)
v8.55.0 - AI-Optimized MCP Tool Descriptions (30-50% reduction in incorrect tool selection)
v8.54.4 - Critical MCP Tool Bugfix (check_database_health method call correction)
v8.54.3 - Chunked Storage Error Reporting Fix (accurate failure messages, partial success tracking)
v8.54.2 - Offline Mode Fix (opt-in offline mode, first-time install support)
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 (
AttributeErrorwith 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 → 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% → 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)
📖 Full Details: CHANGELOG.md | All Releases
📚 Documentation & Resources
Installation Guide – Detailed setup instructions
Configuration Guide – Backend options and customization
Architecture Overview – How it works under the hood
Team Setup Guide – OAuth and cloud collaboration
Troubleshooting – Common issues and solutions
API Reference – Programmatic usage
Wiki – Complete documentation
– AI-powered documentation assistant
🤝 Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
Quick Development Setup:
⭐ Support
If this saves you time, give us a star! ⭐
Issues: GitHub Issues
Discussions: GitHub Discussions
Wiki: Documentation Wiki
📄 License
Apache 2.0 – See LICENSE for details.
⚠️ 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.serverin your Claude Desktop config (no path dependencies!)Alternative 1: Use
uv run memory serverwith UV toolingAlternative 2: Update path from
scripts/run_memory_server.pytoscripts/server/run_memory_server.pyBackward compatible: Old path still works with a migration notice
⚠️ 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.
🐍 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@3.12Alternative: Use Cloudflare backend with
--storage-backend cloudflareSee Troubleshooting Guide for details
🍎 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 && rehashAlternative: Use pyenv:
PYTHON_CONFIGURE_OPTS='--enable-loadable-sqlite-extensions' pyenv install 3.12.0Fallback: Use Cloudflare or Hybrid backend:
--storage-backend cloudflareor--storage-backend hybridSee Troubleshooting Guide for details
🎯 Memory Awareness in Action
Intelligent Context Injection - See how the memory service automatically surfaces relevant information at session start:
What you're seeing:
🧠 Automatic memory injection - 8 relevant memories found from 2,526 total
📂 Smart categorization - Recent Work, Current Problems, Additional Context
📊 Git-aware analysis - Recent commits and keywords automatically extracted
🎯 Relevance scoring - Top memories scored at 100% (today), 89% (8d ago), 84% (today)
⚡ Fast retrieval - SQLite-vec backend with 5ms read performance
🔄 Background sync - Hybrid backend syncing to Cloudflare
Result: Claude starts every session with full project context - no manual prompting needed.
📚 Complete Documentation
👉 Visit our comprehensive
🧠 v7.1.3 Natural Memory Triggers (Latest)
Natural Memory Triggers v7.1.3 Guide - Intelligent automatic memory awareness
✅ 85%+ trigger accuracy with semantic pattern detection
✅ Multi-tier performance (50ms instant → 150ms fast → 500ms intensive)
✅ CLI management system for real-time configuration
✅ Git-aware context integration for enhanced relevance
✅ Zero-restart installation with dynamic hook loading
🆕 v7.0.0 OAuth & Team Collaboration
🔐 OAuth 2.1 Setup Guide - NEW! Complete OAuth 2.1 Dynamic Client Registration guide
🔗 Integration Guide - Claude Desktop, Claude Code HTTP transport, VS Code, and more
🛡️ Advanced Configuration - Updated! OAuth security, enterprise features
🧬 v8.23.0+ Memory Consolidation
📊 Memory Consolidation System Guide - NEW! Automated memory maintenance with real-world performance metrics
✅ Dream-inspired consolidation (decay scoring, association discovery, compression, archival)
✅ 24/7 automatic scheduling (daily/weekly/monthly via HTTP server)
✅ Token-efficient Code Execution API (90% token reduction vs MCP tools)
✅ Real-world performance data (4-6 min for 2,495 memories with hybrid backend)
✅ Three manual trigger methods (HTTP API, MCP tools, Python API)
🚀 Setup & Installation
📋 Installation Guide - Complete installation for all platforms and use cases
🖥️ Platform Setup Guide - Windows, macOS, and Linux optimizations
⚡ Performance Optimization - Speed up queries, optimize resources, scaling
🧠 Advanced Topics
👨💻 Development Reference - Claude Code hooks, API reference, debugging
🔧 Troubleshooting Guide - Updated! OAuth troubleshooting + common issues
❓ FAQ - Frequently asked questions
📝 Examples - Practical code examples and workflows
📂 Internal Documentation
📊 Repository Statistics - 10 months of development metrics, activity patterns, and insights
🏗️ Architecture Specs - Search enhancement specifications and design documents
👩💻 Development Docs - AI agent instructions, release checklist, refactoring notes
🚀 Deployment Guides - Docker, dual-service, and production deployment
📚 Additional Guides - Storage backends, migration, mDNS discovery
✨ Key Features
🏆 Production-Ready Reliability 🆕 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
📄 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
🔐 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
🧠 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
🔗 Universal Compatibility
Claude Desktop - Native MCP integration
Claude Code - HTTP transport + Memory-aware development with hooks
🪟 Windows Support:
/session-startcommand for manual session initialization (workaround for issue #160)🍎 macOS/Linux: Full automatic SessionStart hooks + slash command
VS Code, Cursor, Continue - IDE extensions
13+ AI applications - REST API compatibility
💾 Flexible Storage
Hybrid 🌟 (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-mlfor full ML capabilities.
🚀 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
💡 Basic Usage
📄 Document Ingestion (v8.6.0+)
🔗 Team Collaboration with OAuth (v7.0.0+)
🧠 Memory Operations
🔧 Configuration
Claude Desktop Integration
Recommended approach - Add to your Claude Desktop config (~/.claude/config.json):
Alternative approaches:
Environment Variables
Hybrid Backend (v8.9.0+ RECOMMENDED):
SQLite-vec Only (Local):
🏗️ Architecture
🛠️ Development
Project Structure
Contributing
Fork the repository
Create a feature branch
Make your changes with tests
Submit a pull request
See CONTRIBUTING.md for detailed guidelines.
🆘 Support
📖 Documentation: Wiki - Comprehensive guides
🐛 Bug Reports: GitHub Issues
💬 Discussions: GitHub Discussions
🔧 Troubleshooting: Troubleshooting Guide
✅ Configuration Validator: Run
python scripts/validation/validate_configuration_complete.pyto check your setup🔄 Backend Sync Tools: See scripts/README.md for Cloudflare↔SQLite sync
📊 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 → 30sec)
100% knowledge retention across sessions and team members
Zero-configuration setup success rate: 98.5% (OAuth + hybrid backend)
🏆 Recognition
Verified MCP Server
Featured AI Tool
Production-tested across 13+ AI applications
Community-driven with real-world feedback and improvements
📄 License
Apache License 2.0 - see LICENSE for details.
Ready to supercharge your AI workflow? 🚀
👉 Start with our Installation Guide or explore the Wiki for comprehensive documentation.
Transform your AI conversations into persistent, searchable knowledge that grows with you.