A
licenseNot graded
qualityD
maintenanceNever start from zero. Persistent session intelligence for AI coding assistants.
65 npm
1
MIT
CONTINUITY
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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: LatentContext 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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Maintenance
ActivitySlowing
ResponsivenessNo recent community issues
Related MCP Connectors
Durable, revision-pinned memory storage and retrieval for AI conversations.
Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.
Persistent memory for AI agents. Search, store, and recall across sessions.
Cross-tool persistent memory and context for AI assistants over MCP.
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to track session lifecycles, persist context notes and transcripts, and manage a human-gated memory-promotion pipeline with an append-only audit trail.2 npm1MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding assistants to persist and restore development context across sessions, including decisions, progress, checkpoints, file caches, and searchable channel-based memory. Supports shared context across parallel sessions and helps recover after context compaction.195 npmMIT