Persistent institutional memory for AI coding agents. Memory that compounds.
Gitmem MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Persistent institutional memory for AI coding agents. Memory that compounds.
Documentation · npm · Getting Started · Tool Reference
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 3 environment variables: SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY, OPENROUTER_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by gitmem-dev; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"gitmem": {
"command": "npx",
"args": ["-y", "gitmem-mcp@latest"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| SUPABASE_URL | Endpoint or connection string the server talks to. | Yes |
| SUPABASE_SERVICE_ROLE_KEY | Credential the server authenticates with. | Yes |
| OPENROUTER_API_KEY | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.