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Give AI assistants persistent memory, semantic search, and team collaboration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Memory Service" yet — see the docs or source repo.
Please search the memory service for my previous discussions about the "user persona project" and summarize the key conclusions and action items.
Relevant past memories are returned, along with a brief summary and next actions.
Find all records I mentioned last week related to API permissions.
Matching memory records are listed so the related context can be reviewed quickly.
Read the team-shared memory about the product launch plan and organize the current scope and risks.
A summary of the launch plan, current scope, and risks is generated from shared team memory.
Developers or researchers switching between multiple AI clients can preserve background context with persistent memory, reducing repeated explanations. This helps later conversations stay more coherent and context-aware.
When users do not remember exact keywords, they can use natural language or semantic search to find past records. This is useful for reviewing previously discussed requirements, decisions, or issue trails.
For collaborative work, teams can share memory and context through an OAuth-based setup. This allows different members or clients to continue working from the same background.
It provides AI assistants with intelligent, persistent memory, including semantic search, natural language queries, and OAuth-based team collaboration. Its goal is to let conversations across multiple clients use the same context.
Based on the description, it supports semantic search and natural language queries. For more detailed query syntax or filtering capabilities, see the source repository.
Yes. The description mentions OAuth-based team collaboration. For the exact configuration requirements and supported providers, see the source repository.
Give AI assistants a persistent, searchable memory layer and context management.
Give AI assistants persistent memory, semantic search, and layered context management.
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Give AI assistants persistent personal memory across MCP clients.
Store and retrieve long-term AI memories with semantic search and tags.
Give AI assistants persistent memory with vector search, relationships, and access control.