SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.
Seam-runtime is an MCP integration. SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.
The published pypi package is seam-runtime, version 1.3.1. Its declared MCP transport is stdio.
The package declares SEAM_DB_PATH: Path to the local SQLite memory database. Defaults to a per-user data directory if unset.; SEAM_PGVECTOR_DSN: Optional Postgres/pgvector DSN for the vector adapter. If unset, SEAM runs on the built-in SQLite vector store..
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 1.3.1 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 |
|---|---|---|
| SEAM_DB_PATH | Path to the local SQLite memory database. Defaults to a per-user data directory if unset. | Optional |
| SEAM_PGVECTOR_DSN | Optional Postgres/pgvector DSN for the vector adapter. If unset, SEAM runs on the built-in SQLite vector store. | Optional |
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