Provides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.
Enables AI agents to maintain a persistent identity and structured memory—including reasoning patterns, episodic history, and knowledge—while exposing procedures for managing that memory over MCP.
Governed shared memory platform for AI agents and agent fleets. Provides persistent memory, cross-agent knowledge sharing, permissions, audit trails, and multi-tenant isolation through a Model Context Protocol (MCP) server.
Cross-vendor AI memory over MCP. Provides a persistent memory store with tools to write, search, list, forget, and supersede memories from any MCP-capable AI client.
Provides a selective persistent memory layer for AI companions, enabling structured recall, reinforcement, and time-decayed retrieval through an MCP interface.
Provides persistent, shared memory for AI agents via MCP, enabling retrieval of relevant memories instead of loading entire context. Allows agents across projects, machines, and tools to share a single auditable, markdown-native brain.
