MCP server providing witness, recovery, and continuity primitives for AI agents, enabling them to articulate failure, preserve state across sessions, and coordinate via MCP, A2A, or REST.
A remote MCP server that gives AI assistants a shared memory, enabling structured handoffs, journaling, and notes for seamless continuation across sessions.
Graph-based MCP server for persistent AI memory, session checkpointing, context compression, and cross-session context management for LLM applications.
Local-first MCP server that persists AI coding agent memory and session context, enabling seamless resume across sessions with searchable memories and checkpoints.