$ loading_
Give AI agents persistent semantic memory with search, decay, and deduplication.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mnemo-mcp" yet — see the docs or source repo.
Save the following project background, key decisions, and terminology into mnemo-mcp. Group by topic and deduplicate for future conversations: We are building an enterprise knowledge base assistant for support teams. Current priorities are access control, search recall, and answer traceability.
A confirmation summary showing stored memories, topic grouping, deduplication results, and key details for later retrieval.
Search mnemo-mcp for memories related to "access control approach". Return the 5 most relevant items and summarize prior decisions, open questions, and owners.
A ranked list of relevant memories plus a summary that helps the agent recover context and reduce repeated discussion.
Review memories in mnemo-mcp from the last 90 days. Mark duplicate, low-relevance, and potentially outdated items; apply decay rules and suggest keep, merge, or delete actions, then output the cleaned memory structure.
A memory cleanup report with decay assessments, deduplication recommendations, and the optimized memory organization.
Adds persistent layered memory and search for AI agents locally.
Gives AI coding agents persistent local memory across sessions for decisions and rules.
Give AI chatbots autonomous long-term memory with monitoring and consolidation.
Provide local-first, auditable, consent-gated memory across AI tools via MCP.
Provide a unified memory vault with hybrid search for MCP clients.
Give AI agents local persistent memory with hybrid search and decay management.