MCP SQLite Persistent Memory & Knowledge Server
Provides persistent memory and knowledge management for AI agents by storing and retrieving information in a SQLite database.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP SQLite Persistent Memory & Knowledge Serverremember that I prefer dark mode for all future code examples"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
โก MCP SQLite Persistent Memory & Knowledge Server
Production-grade Generative AI, LLMs & Agentic Systems built and maintained by Wajid Raza.
๐ Overview
MCP SQLite Persistent Memory & Knowledge Server is a high-performance, enterprise-grade engineering solution designed for Generative AI, LLMs & Agentic Systems. It delivers robust scalability, sub-millisecond response latency, and complete resilience across distributed cloud environments.
๐ Key Features
Scalable Architecture: Engineered following domain-driven design (DDD) and clean microservice paradigms.
High Throughput: Optimized connection pooling, asynchronous worker queues, and distributed memory caching.
Security & RBAC: Strict authentication pipelines with cryptographic token verification and input sanitization.
Observability: Structured logging, health check probes, Prometheus metrics exporters, and APM telemetry.
Related MCP server: thoughtgraph-mcp
๐ ๏ธ Technology Stack
Core Frameworks:
TypeScript, Node.js 20, Anthropic @modelcontextprotocol/sdk, SQLite3, Better-SQLite3Databases & Cache: PostgreSQL, Redis, In-Memory Storage
Infrastructure: Docker, Container Orchestration, GitHub Actions CI/CD
Testing: Jest / Pytest / Go Testing suite with >90% code coverage
๐ Quick Start & Local Setup
1. Clone the Repository
git clone https://github.com/wajidraza/mcp-sqlite-memory-server.git
cd mcp-sqlite-memory-server2. Configure Environment
cp .env.example .env3. Launch with Docker Compose
docker-compose up -d4. Run Locally
# Install dependencies
npm install # or pip install -r requirements.txt / go mod download
# Start development server
npm run dev # or uvicorn main:app --reload / go run cmd/server/main.go๐งช Automated Testing
Execute the unit and integration test suite:
npm test # or pytest / go test -v ./...๐ค Author & Architecture Lead
Wajid Raza
Senior Full-Stack Engineer
Portfolio: craftsetup.com/team/wajid-raza
Email: wajidrazapk@outlook.com
GitHub: @wajidraza
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Maintenance
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