Enables agents to store, recall, and manage persistent memory documents through MCP tools, with authenticated context tokens and hybrid lexical/vector search.
Enables AI agents to search and update a shared persistent knowledge base over MCP, so context survives across sessions, models, clients, and team tools.
Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.
Enables AI agents to search, read, and update persistent knowledge bases through 22 MCP tools, prompts, and resources, connecting to either a hosted endpoint or a self-hosted API.