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Give AI assistants persistent cross-session memory with natural language retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "STRATA" yet — see the docs or source repo.
Please remember that I prefer concise Chinese for weekly reports, with conclusions first and details after, and use this style in future related tasks.
The tool saves this preference as cross-session memory for reuse in future tasks.
Find memories I previously stored about database selection or vector search, and list the most relevant ones.
Returns a list of past memories related to database selection or vector search.
Delete the memory related to my previously saved temporary meeting schedule for this week so it is not reused later.
Deletes memories on the specified topic to prevent outdated context from affecting later conversations.
Developers or product managers can use it to store writing styles, output preferences, or recurring background information so the assistant stays consistent across sessions.
During research, requirement planning, or long-running collaboration, users can save key facts in natural language and retrieve them in later sessions to avoid repeating context.
As stored memories grow, users can list, search, or delete them to maintain a cleaner and more useful long-term context store.
It is an MCP server that gives AI assistants persistent context memory across sessions. It supports saving, searching, listing, and deleting memories through natural language.
The provided description says it uses Supabase PostgreSQL and pgvector to store and retrieve memories. For detailed deployment steps, see the source repository.
Normal chat context is usually limited to the current session, while STRATA focuses on persistent memory across sessions. It also supports explicitly searching, listing, and deleting those memories.
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