An MCP-native, local-first memory server that gives AI agents persistent, structured memory across sessions and tools, enabling them to maintain identity and context without reconfiguration.
A self-hosted MCP memory server that gives AI assistants persistent, semantic memory by storing facts as vector embeddings locally, supporting semantic search and swappable embedding models.
A lightweight, local-first MCP memory server for LLM agents that enables storing, searching, and retrieving agent memories with zero external dependencies.
A local-first memory MCP server that enables storing, searching, and managing personal memories with hybrid keyword and semantic recall, all on-device.