deep-dive

How Ralph Maintains Context Between AI Instances: A Deep Dive into State Persistence

April 13, 2026 snarktank/ralph ↗

Ralph maintains context between AI instances through three coordinated persistence mechanisms—Git history, a structured prd.json task registry, and an append-only progress.txt log—that allow stateless LLM processes to resume work across independent iterations.

The snarktank/ralph repository solves a critical challenge in autonomous AI development: every iteration spawns a fresh Amp or Claude Code process with a clean context window. Because each LLM invocation starts from scratch without prior memory, Ralph implements an external persistence layer using specific files that survive script executions and enable continuous

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      "command": "npx",
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