Ramet is listed as Open Source. Check https://github.com/shenli/ramet for the current plan limits, as vendors change pricing frequently.

Ramet

Q: What is Ramet?

Ramet is a code AI tool listed on Use AI Tools. Ramet gives AI agents persistent, forkable workspaces. Each session or attempt gets an isolated writable workspace over a shared immutable base, changes become persistent when your harness captures a snapshot, and you can fork isolated attempts, reset to a clean starting point and choose exactly what survives between sessions.

Q: What is Ramet best for?

Ramet is commonly used for Agent workspaces, Sandbox snapshots, Agent evaluation. It supports English.

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Agent workspacesSandbox snapshotsAgent evaluation

Open SourceEnglish

Ramet gives AI agents persistent, forkable workspaces. Each session or attempt gets an isolated writable workspace over a shared immutable base, changes become persistent when your harness captures a snapshot, and you can fork isolated attempts, reset to a clean starting point and choose exactly what survives between sessions.

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🎯 Real-World Use Cases

Keep agent files when a sandbox dies

Workspace files and local Git state save and restore across sessions and sandbox replacements.

Run parallel attempts on one base

Independent forks and selective persistence suit best-of-N coding agents.

Reset environments between rollouts

Clean filesystem resets are verified before reuse, to catch contamination in agentic RL.

⚖️ Honest Review

✅ Pros

+Bring your own agent framework and sandbox
+Git-aware snapshots with verified resets
+Documented integrations for LangGraph, CrewAI, AutoGen and SkyRL

⚠️ Cons

−Infrastructure that sits between your framework and your sandbox
−A custom harness still needs Go, Python or HTTP integration work

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CodeOct 22, 2026