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Engram: Persistent Memory System for AI Agents

Engram is a memory system for AI coding agents, enabling them to retain context and improve efficiency across sessions.

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Tech Stack
PostgreSQLGitHubGoEsbuildTypeScriptNode.jsJavaScriptBashDependabotGitHub ActionsDocker
Summary

Engram is a persistent memory system designed for AI coding agents. This agent-agnostic solution is implemented as a single Go binary with SQLite and FTS5 for full-text search capabilities. Engram allows coding agents to retain information across sessions, effectively giving them a memory.

Key features:

  • Single Binary - No dependencies required for installation.
  • Multiple Interfaces - Accessible via CLI, HTTP API, MCP server, and an interactive TUI.
  • Cloud Integration - Optional replication features for shared access.
  • Session Lifecycle Management - Agents can save and retrieve memories effectively.
  • Agent Compatibility - Works with various agents like Claude Code, OpenCode, and Codex.

Engram is particularly useful for developers who want to enhance their coding agents with memory capabilities, allowing them to remember context and improve efficiency over time.

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Tags
  • go
    2
  • ai-agents
    1
  • mcp-server
    1
  • open-source-coding-agent
    1
  • sprawling-tooling
    1
  • tool-server
    1