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Engram

Persistent memory for AI coding agents — one brain, local or cloud.

★ 6,256 GitHub MIT memorymcpai-agentssqliteclaude-code AI Agents

Overview

Engram is an agent-agnostic, single-binary memory system for AI coding agents. Built in Go with SQLite + FTS5 full-text search, it gives Claude Code, Codex, Cursor, OpenCode, Gemini CLI and other MCP-compatible agents a persistent brain that survives session resets and context compaction. One binary, one SQLite file — no Node.js, Python or Docker required. Exposed through MCP, CLI, HTTP API and an interactive TUI, Engram stores curated project knowledge: decisions, bug fixes, conventions and handoffs, all searchable in milliseconds.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  engram:
    image: cylian/engram:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/engram:/data

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Guides & articles

How to Install and Configure Engram with Claude Code, Codex and Cursor

Step-by-step tutorial: install the Engram Go binary, connect it to any MCP-compatible agent, and use the curated memory protocol for zero-loss sessions.

Sep 1, 2026

Engram: The Persistent Memory Layer Every AI Coding Agent Needs

Engram is a single-binary, agent-agnostic memory system that gives Claude Code, Codex and Cursor a persistent brain with SQLite + FTS5 full-text search.

Sep 1, 2026