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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.
Give AI tools persistent local memory and cross-session context recall.
Provides persistent local memory for AI assistants with note storage and retrieval.
Manage persistent AI memories with tagging, search, retrieval, and trigger-based recall.
Persist, search, and retrieve coding knowledge and session notes for agents.
Give AI agents persistent memory across sessions with efficient on-demand context loading.
Persist conversational memory with SQLite and retrieve context using metadata.