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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 Mark duplicate, low-relevance, and potentially outdated items; apply decay rules and suggest keep, merge, or delete actions, then output the cleaned memory structure.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.
Gives AI coding agents persistent local memory across sessions for decisions and rules.
Give AI agents local-first memory, retrieval, and spaced learning workflows.
Give AI persistent, synced memory with full-text and semantic hybrid search.
Give AI agents persistent memory with semantic search and automatic linking.
Provide local-first, auditable, consent-gated memory across AI tools via MCP.
Give coding agents persistent cross-session memory for project context and decisions.