lalithbuilds

Engram Mcp

Name: Engram Mcp
Author: lalithbuilds

DevOps community

SOURCE https://github.com/lalithbuilds/engram-mcp

Description

🧠 Zero-dependency MCP server for persistent AI agent memory. Pure Python stdlib. No cloud. No Docker. No API costs. Works with Claude Code, Cursor, Windsurf.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

🧠 Engram MCP

**A zero-dependency, auto-decaying, pure SQLite MCP server for persistent AI agent memory.**

*Built in an afternoon. Tested harder than it was built. Documented because the code isn't enough.*

*engram (noun): a hypothesized physical trace of memory stored in the brain — the biological basis of how memories persist.*

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Python 3.8+](https://img.shields.io/badge/Python-3.8+-green.svg)](https://python.org) [![Dependencies](https://img.shields.io/badge/Dependencies-Zero-orange.svg)](#) [![Protocol](https://img.shields.io/badge/Protocol-MCP-purple.svg)](https://modelcontextprotocol.io) [![CI](https://github.com/lalithbuilds/engram-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/lalithbuilds/engram-mcp/actions/workflows/ci.yml)

Engram is a fully local, lightning-fast memory layer for AI agents (Claude Code, Cursor, Windsurf, etc.) connected via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It is built entirely on the Python 3 standard library. No cloud API keys, no vector databases, no Docker, and no bloat.

🛑 The Problem: "Agent Amnesia"

If you use AI coding agents, you know the frustration: **every session starts completely fresh**. The agent doesn't remember that you prefer `pnpm` over `npm`, it forgets the architectural boundaries you agreed on yesterday, and it constantly asks you for the same context.

Existing solutions try to fix this by bolting on massive Vector Databases (PostgreSQL/pgvector, Chroma, Pinecone) that require heavy dependencies, Docker containers, and expensive OpenAI API calls just to generate embeddings.

💡 The Solution: What is Engram MCP?

**Engram MCP** is a ruthlessly optimized, zero-dependency alternative. It uses standard **SQLite FTS5 (Full-Text Search)** to achieve blazing-fast keyword retrieval entirely locally. You simply drop the `server.py` script into your MCP configuration, and your