@rashee1997
Basic information
Your AI Agent's Persistent Brain - A Comprehensive Memory & Task Management System
No standard config provided
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Memory MCP Server - Orchestrator is a Model Context Protocol (MCP) server that gives AI agents persistent memory, task planning, and knowledge management. Built with TypeScript and SQLite, it requires a separate workflow.md file to operate as an intelligent system. It is designed for AI agents in MCP-compatible clients.
Install Node.js 18+, npm, and Git. Clone the repository, run npm install and npm run build, then verify with npm run test. Configure the server in your MCP client (e.g., VS Code Cline) with the node command pointing to build/index.js, and set the GEMINI_API_KEY and TAVILY_API_KEY environment variables. Critical: Load the workflow.md file into your AI agent’s system prompt to enable the six‑mode operational structure.
It is a mandatory file that defines six operational modes (Prompt Refine, Think, Code Analysis, Innovate, Plan, Execute, Review), safety rules, and a workflow state machine. It must be loaded into the AI agent’s system prompt for the server to function as an intelligent system.
Yes. It needs `GEMINI_API_KEY` for Google Gemini integration and `TAVILY_API_KEY` for Tavily web search. Both are configured as environment variables in the MCP client settings.
The server communicates over `stdio` transport, as shown in the configuration example for MCP clients.
Data is stored locally in a SQLite database. The server provides backup and restore capabilities for that database.
Node.js 18.x or higher, npm (latest), and Git. The server is built with TypeScript 5.3+.
Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.
Search published GPU deployment, rack integration and structured cabling resources; read canonical documents and Leviathan Systems company service scope. Anonymous, read-only Streamable HTTP MCP. No credentials required.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Model Context Protocol Servers
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