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CONTINUITY

Session state persistence for MCP systems: crash recovery, a decision registry, and context compression for long-running AI sessions.

The problem

A long working session with an AI assistant accumulates real state — decisions made, approaches tried and rejected, context that took real back-and-forth to establish. A crash, a context-window limit, or just closing the window loses all of it, and re-establishing that state by hand is expensive.

Related MCP server: JauMemory MCP Server

What it does

CONTINUITY checkpoints session state as it develops, logs decisions explicitly rather than letting them live only in conversation history, and compresses context so a session can be resumed without replaying the entire prior conversation to get back to where it left off.

Part of a system

CONTINUITY is the session-recovery layer in a larger cognitive-infrastructure stack. See davidkirsch.me/builds for the rest.

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  • Persistent memory and drift detection for AI agents across session restarts.

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