SnapState has entered public beta, letting developers persist multi‑step AI agent workflows across crashes, session switches, and handoffs. A lightweight SDK installs via npm or pip and offers one‑line save and resume calls in JavaScript, Python, or any MCP‑compatible runtime. Checkpoints store JSON payloads, enabling agents to pick up exactly where they left off. It works across any cloud or on‑premise deployment.

Features include full‑step checkpointing with automatic diff tracking and ETag‑based concurrency, label‑driven audit trails that tag each checkpoint with the responsible agent, and built‑in analytics for failure patterns and per‑agent performance. The service integrates out of the box with Claude Desktop and Cline, injecting persistent memory via a system prompt. The free tier provides 10k writes, 1 GB storage and 5 k resumes per month.

By offloading state management to SnapState, developers can focus on prompt engineering rather than custom checkpoint logic, reducing code complexity and improving reliability of long‑running agents. Small teams can prototype within the generous free allocation, while larger operations can scale by paying only for excess writes or storage. This eliminates the need for bespoke recovery scripts. SnapState now offers a persistence layer for AI workflows.