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Store sourced text memories and recall them by meaning, keywords, or filters.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fortytwo-guide" yet — see the docs or source repo.
Store the following interview excerpts, article summaries, and meeting notes in fortytwo-guide with source, date, and topic tags for each item; then semantically retrieve the 5 most relevant records about 'reasons for user churn' and summarize the common themes.
Confirmation of stored memory entries, relevant retrieval results, and a synthesized summary of shared patterns across sources.
Search fortytwo-guide for historical records containing 'pricing', 'pilot customers', and 'quarterly goals', prioritizing sources from weekly meeting notes and product docs, then output the decision timeline in chronological order.
Matched keyword records with provenance details, plus a chronological summary of how the decisions evolved.
Filter fortytwo-guide for memories added after 2024, tagged 'API' or 'vector search', with high-confidence sources, and list each item's summary, provenance, and follow-up actions useful for implementation.
A filtered memory list including summaries, provenance traceability, and actionable next-step recommendations.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage personal memory, profiles, notes, and semantic search in one place.
Give AI persistent, synced memory with full-text and semantic hybrid search.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Provide persistent local semantic memory for MCP tools to store and search notes.
Build persistent, semantically searchable memory for codebases via natural language queries.