Zenmemory Mcp Sol
What is Zenmemory Mcp Sol
ZenMemory MCP Server is a decentralized AI memory infrastructure that utilizes the Model Context Protocol (MCP) and the Solana Agent Kit to provide a robust memory management system.
Use cases
Use cases include building decentralized AI applications, managing user-specific memory contexts in dApps, and integrating memory management into existing Solana-based projects.
How to use
To use ZenMemory MCP Server, clone the repository from GitHub, navigate to the project directory, and install the necessary dependencies using npm or Yarn. Ensure you have Node.js version 16 or higher and a Solana keypair secret set in your environment.
Key features
Key features include a full MCP server implementation using the @modelcontextprotocol/typescript-sdk, on-chain memory context via Solana’s @solana/agent-kit, an Express HTTP API for memory management, and support for in-memory or pluggable database/IPFS storage.
Where to use
ZenMemory MCP Server can be used in various fields such as decentralized applications (dApps), AI-driven services, and any system requiring efficient memory management and storage solutions.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Zenmemory Mcp Sol
ZenMemory MCP Server is a decentralized AI memory infrastructure that utilizes the Model Context Protocol (MCP) and the Solana Agent Kit to provide a robust memory management system.
Use cases
Use cases include building decentralized AI applications, managing user-specific memory contexts in dApps, and integrating memory management into existing Solana-based projects.
How to use
To use ZenMemory MCP Server, clone the repository from GitHub, navigate to the project directory, and install the necessary dependencies using npm or Yarn. Ensure you have Node.js version 16 or higher and a Solana keypair secret set in your environment.
Key features
Key features include a full MCP server implementation using the @modelcontextprotocol/typescript-sdk, on-chain memory context via Solana’s @solana/agent-kit, an Express HTTP API for memory management, and support for in-memory or pluggable database/IPFS storage.
Where to use
ZenMemory MCP Server can be used in various fields such as decentralized applications (dApps), AI-driven services, and any system requiring efficient memory management and storage solutions.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
ZenMemory MCP Server
Decentralized AI Memory Infrastructure — powered by MCP and Solana Agent Kit.
Features
- 🧠 Full MCP server using
@modelcontextprotocol/typescript-sdk - 🔗 Solana on‑chain memory context via
@solana/agent-kit - 🔄 Express HTTP API:
POST /memory,GET /memory/:id,GET /user/:userId/memories - 🚀 In-memory or pluggable DB/IPFS storage
Prerequisites
- Node.js >=16
- Yarn or npm
- A Solana keypair secret in environment
Quickstart
- Clone & install
git clone https://github.com/ZenMemoryAI/zenmemory-mcp-sol.git cd zenmemory-mcp-sol npm install
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
