hjqcan/GoodMemory

Overview

GoodMemory is a local-first, auditable memory layer for AI applications and coding agents. It integrates with Codex, Claude Code, MCP, HTTP, TypeScript, and Python, allowing agents to store and retrieve memory while keeping data on local infrastructure.

Best for

Best for
Developers building AI agents that need persistent, auditable memory.

Use cases

• Give coding agents persistent memory across sessions
• Expose agent memory to tools via MCP or HTTP
• Audit memory reads and writes in AI workflows

How to use

Install

npx goodmemory -V

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, ChatGPT

Notes

GoodMemory is a local-first, auditable memory layer for AI applications and coding agents. It integrates with Codex, Claude Code, MCP, HTTP, TypeScript, and Python, allowing agents to store and retrieve memory while keeping data on local infrastructure.

17 stars on GitHub. Last updated 2026-08-22. Licensed MIT.

Use cases

• Give coding agents persistent memory across sessions
• Expose agent memory to tools via MCP or HTTP
• Audit memory reads and writes in AI workflows

Pros

• Local-first design keeps data on your own infrastructure
• Auditable memory supports transparency and debugging
• Works with multiple agent ecosystems and protocols

Cons

• Very early-stage project with few stars and limited adoption
• No single vendor backing, so support is community-driven
• Requires self-hosting and setup for each environment

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.