gitmind

How gitmind compares

gitmind next to ChatGPT and Claude's built-in memory, CLAUDE.md files, Basic Memory and Mem0: what each is for, and when to choose which.

There are several ways to give an AI agent memory. They solve different problems, and some of them work well together. This page describes each one briefly and fairly; for the other tools, their own documentation is the authority, and details change quickly.

At a glance

gitmind Built-in app memory CLAUDE.md / AGENTS.md Basic Memory Mem0
What it is Shared memory for the AI apps you use A feature of one AI app Instruction files read by a coding agent Local-first knowledge base over MCP Memory layer for building AI apps
Works across apps Yes: claude.ai, ChatGPT, Claude Code, Codex, any MCP client No, one app Per agent and repository Any MCP client Through its API and MCP server
Storage Markdown in a git repository Managed by the provider Files in your repository or home folder Markdown files on your computer Vector and graph stores
Who decides what to save The agent you’re using The app You, or the agent editing the file The agent you’re using An LLM in Mem0’s pipeline
Team sharing Team workspaces No Through the repository Depends on setup Per your application

Built-in memory in ChatGPT and Claude

ChatGPT and Claude can remember things about you across conversations. It’s the easiest option: nothing to install, and it’s tuned for its own app.

But that memory belongs to one app. What ChatGPT learned isn’t available in Claude, Claude Code or Codex, and the other way round. It’s managed by the provider, so you can’t keep it in version control, review its history line by line, or share it with your team.

gitmind is one memory that every app reads and writes, stored as files you control. You can use both: built-in memory for personal chat preferences, gitmind for knowledge you want in every tool.

CLAUDE.md and AGENTS.md files

Claude Code reads CLAUDE.md and Codex reads AGENTS.md: instruction files in your repository or home folder. They’re great for stable, project-wide rules that you maintain by hand, and they’re versioned with your code.

They’re less suited to the steady stream of small facts agents learn while working (a gotcha in a deploy, a decision and why), they’re loaded whole into every session, and they don’t reach claude.ai or ChatGPT. gitmind keeps those facts as searchable notes, loads only pinned notes and an index of the current project’s notes at session start, and is shared across apps and machines. The CLI adds short memory instructions to your CLAUDE.md and AGENTS.md, so the two work together.

Basic Memory

Basic Memory is an open-source MCP server that keeps a knowledge base as Markdown files on your computer, with a local index. gitmind uses the same note conventions (observations like - [category] fact #tag and [[wiki links]]), so you can import a Basic Memory folder into gitmind.

The difference is in where the notes live and who can reach them. gitmind treats memory as a git repository: every change is a commit, laptops sync through git, and the hosted endpoint at https://gitmind.app/mcp lets claude.ai, ChatGPT and mobile apps (which can’t run a local server) use the same notes. It adds team workspaces, chat-history import and coding-agent hooks. Basic Memory also offers a hosted service; check its site for what it includes today.

Mem0

Mem0 is a memory layer for developers building AI applications: an SDK and hosted API that extract memories from conversations with an LLM and retrieve them with semantic search. It’s a good fit when you’re building a product that needs to remember its own users.

gitmind is aimed at people using AI apps and coding agents, not at building them. It runs no LLM of its own: the agent you already use decides what to save, and gitmind stores, indexes and syncs it, so there are no extra API keys and nothing sits between you and your AI provider. Notes are readable Markdown rather than vectors. Search combines keywords with meaning: gitmind cloud embeds notes (with Cloudflare Workers AI) and keeps the vectors as a rebuildable index beside the notes, never in place of them.

When to choose something else

  • You only use one AI app and don’t need your memory anywhere else: its built-in memory is simpler.
  • You want memory that never leaves your computer and only use local agents: the gitmind CLI with This computer only works, and so does Basic Memory.
  • You’re building an AI product that needs per-user memory: use a memory layer like Mem0.

Otherwise, the quickstart takes a few minutes.

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