agent-loop
cost control for AI agent loops. Your AI agent loops don't know when to stop. LoopGain does.
When an agent keeps checking and revising its own work, it often spins on a problem it can't solve — or talks itself into an answer worse than one it already had. LoopGain watches the loop as it runs, stops it at the right iteration, and keeps the best version, not the last.
A deterministic, autonomous loop runner for the Codex CLI. It processes exactly one task per iteration from a JSON backlog, with fresh context each run, and keeps a JSONL audit log for traceability.
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llm loop is a powerful plugin for the LLM CLI tool that enables autonomous, goal-oriented task execution. Unlike traditional single-turn LLM interactions, llm loop allows the AI to work persistently towards a goal by making multiple tool calls, analyzing results, and iterating until the task is complete.
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Ralph is an autonomous AI agent loop that runs repeatedly until all PRD items are complete.
Ralph is an autonomous AI agent loop that runs Amp repeatedly until all PRD items are complete. Each iteration is a fresh Amp instance with clean context. Memory persists via git history, progress.txt, and prd.json.
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