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Give AI agents persistent, searchable structured memory and bidirectional knowledge sync.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memory_plus" yet — see the docs or source repo.
Use memory_plus to build long-term memory for this customer support AI: store user preferences, past issues, resolved solutions, and enable fast keyword retrieval later.
Creates structured memory entries that can be accurately retrieved later by topic or keyword.
Sync my project notes into memory_plus using a Zettelkasten structure, preserving backlinks, tags, and sources so the AI can reference them later.
Builds an interlinked note network that helps the AI track context and reference related content.
Use memory_plus to search our previous discussions about pricing strategy, identify key decisions, reasons, and open items, then summarize them.
Returns relevant memory results and a concise summary with decision rationale and pending actions.
Give AI agents persistent memory with semantic search and automatic linking.
Manage personal memory, profiles, notes, and semantic search in one place.
Give AI assistants persistent memory for preferences, context, and decisions.
Give AI agents persistent semantic memory with search, decay, and deduplication.
Give MCP-compatible AI agents persistent local memory across sessions.
Give AI coding agents persistent local shared memory across agents.