Secure, fragment-based long-term memory for MCP-compatible AI agents.
Weasley DeepMind is an MCP integration. Secure, fragment-based long-term memory for MCP-compatible AI agents.
The published npm package is weasley-deepmind, version 1.0.0. Its declared MCP transport is stdio.
The package declares DATABASE_URL (required): PostgreSQL connection URL for a database with pgvector installed.; WEASLEY_DEEPMIND_AUTO_MIGRATE: Apply pending database migrations before starting the stdio server.; EMBEDDING_API_KEY: Optional embedding provider API key for semantic recall..
This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 1.0.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
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| Variable | Description | Required |
|---|---|---|
| DATABASE_URL | PostgreSQL connection URL for a database with pgvector installed. | Yes |
| WEASLEY_DEEPMIND_AUTO_MIGRATE | Apply pending database migrations before starting the stdio server. | Optional |
| EMBEDDING_API_KEY | Optional embedding provider API key for semantic recall. | Optional |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
No external services, accounts, or API keys are required — everything lives in a single local SQLite file.
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