Persistent memory for AI agents. Search, store, and recall across sessions.
Persistent memory for AI agents. Search, store, and recall across sessions. The goldhold mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
Persistent memory for AI agents. 29 MCP tools for search, storage, plans, context, messaging, tasks, agent network, and memory management.
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 2 environment variables: GOLDHOLD_API_KEY, GOLDHOLD_RELAY_URL. 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 jerrysrodz; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
Or add to your MCP client config:
```json
{
"mcpServers": {
"goldhold": {
"command": "npx",
"args": ["-y", "@goldhold/mcp-server"],
"env": {
"GOLDHOLD_API_KEY": "your-key-from-goldhold.ai/account"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GOLDHOLD_API_KEY | Credential the server authenticates with. | Yes |
| GOLDHOLD_RELAY_URL | Endpoint or connection string the server talks to. | 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.