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Provides persistent local memory for AI assistants with note storage and retrieval.
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.
Please turn this meeting's key decisions, action items, and owners into notes and save them as long-term memory.
Stores the content in local JSONL memory for later retrieval.
Retrieve any past notes related to "launch schedule" and "customer feedback," then summarize the key points.
Returns matching historical notes and a summary.
Save this project's background, goals, constraints, and confirmed assumptions as memory for future conversations.
Creates reusable project context memory.
Useful for AI assistants that need to retain context across many turns. It writes key information to local persistent storage and retrieves it later.
Good for users who want notes stored in local JSONL files. BM25 search helps find previously recorded content faster.
Fits agentic apps that need to remember and look things up. It combines storage and search so assistants can reuse prior information.
It is a persistent memory MCP server for AI assistants. It stores and retrieves notes using local JSONL files with BM25 search.
According to the description, it saves notes in local JSONL files. No further storage details are provided; see the source repository.
It emphasizes local persistence and BM25 retrieval, making it suitable for simple, searchable note memory. No further comparison details are provided; see the source repository.
Give AI tools persistent local memory and cross-session context recall.
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Adds persistent layered memory and search for AI agents locally.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Give AI assistants persistent personal memory across MCP clients.