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Give LLMs persistent memory, transcript search, and full conversation history recall.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Memento" yet — see the docs or source repo.
Search my past conversations for last week's discussion about user segmentation strategy, then summarize the key conclusions, action items, and unresolved questions.
Relevant past conversations are retrieved, with a summary of conclusions, action items, and open questions.
Store the user's preferences, project background, and key constraints from this conversation as long-term memory, and prioritize them in future responses.
Structured memory is saved so future conversations can automatically reuse it and stay contextually consistent.
Search all past conversations for mentions of "API rate limiting" or "retry mechanism" and list the relevant excerpts and sources in chronological order.
Chronologically ordered matches are returned with excerpts, conversation sources, and relevant context.
Manage persistent AI memories with tagging, search, retrieval, and trigger-based recall.
Persist, search, and retrieve coding knowledge and session notes for agents.
Persist conversational memory with SQLite and retrieve context using metadata.
Provide local-first, auditable, consent-gated memory across AI tools via MCP.
Store and recall cross-conversation details with persistent knowledge-graph-based memory.
Gives AI coding agents persistent local memory across sessions for decisions and rules.