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Manage local-first agent memory with versioning, search, ACLs, and sync.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-memory-rs" yet — see the docs or source repo.
Use mcp-memory-rs to design a memory structure for my support agent: split JSON categories into user profiles, FAQs, and conversation history, and explain versioning and search.
A clear memory architecture with JSON categories, versioning strategy, and retrieval approach.
Use mcp-memory-rs to search historical memory related to "refund policy changes," return the most relevant entries ranked by relevance, and label their source categories.
Ranked memory search results showing matched content and source categories.
Use mcp-memory-rs to plan a multi-device memory sync setup: phone as read-only, office computer with read/write access, and team server syncing all categories, and explain ACL recommendations.
A multi-device permission and sync plan with access levels and ACL configuration guidance.
Give AI agents persistent memory, recall, and context management across sessions
Give MCP agents local-first long-term memory without databases or API keys.
Provide persistent local memory and semantic search for MCP AI clients.
Give AI clients persistent long-term memory with search and organization.
Provide local-first semantic memory and context recall for MCP agents.
Give AI agents persistent memory with semantic search and automatic linking.