Gives AI agents durable project memory via the Model Context Protocol, allowing them to read tasks, record decisions, search context, and sync snapshots to the cloud.
Enables AI agents to maintain and query project memory independently of the underlying model, with versioned, auditable storage and multi-stage retrieval through a single MCP gateway.
Provides persistent, multi-project memory for AI agents via MCP, enabling them to store and retrieve tasks, decisions, errors, checkpoints, and documentation while keeping context isolated by project.
Enables multiple AI clients to share and revise project knowledge with conflict-safe concurrent writes, immutable revision history, and hybrid search that excludes superseded or deleted memories.