Snapstate

Gives your AI workflows a memory layer by storing state between sessions. You can checkpoint progress mid-workflow, resume from where you left off if something breaks, and replay entire sequences step by step. Useful when you're orchestrating multi-step processes that take time or might fail partway through, like data pipelines, multi-stage analysis, or any agent task that spans multiple interactions. Instead of starting from scratch every time, save snapshots and pick up right where you stopped. Works over stdio transport, so it integrates with standard MCP clients without special setup.