Enables AI agents to maintain persistent context across sessions, restarts, and handoffs through a mailbox-based context sync protocol, compatible with any MCP-aware client.
Provides persistent personal context (identity, projects, decisions, knowledge) to MCP-compatible AI tools, eliminating the need to re-explain yourself across sessions.
Provides a local, persistent context database for AI tools via MCP, enabling them to recall user preferences, decisions, and experiences across sessions. It is fully local with optional sync, and works with any MCP client.
Provides a portable AI control plane with shared memory, permissions, and skills across multiple MCP hosts and unattended channels, enabling consistent agent behavior.
Shared context storage for AI agents. Enables any MCP-compatible model to store, read, and search context entries through the MCP server, with a web UI for management.