LoopGPT is an open-source AI agent designed to autonomously loop through a series of tasks to achieve a specified goal. By continuously evaluating its progress and adjusting its actions, LoopGPT can handle complex workflows without human intervention. This capability makes it suitable for tasks requiring iterative processes, such as data analysis, content generation, and process optimization.
Generating and refining content through multiple drafts.
Optimizing business processes via continuous evaluation.
Automating repetitive tasks with dynamic adjustments.
LoopGPT demonstrates high autonomy through its modular architecture supporting continuous task execution without constant human oversight. Key autonomous features include: self-contained goal achievement via chained LLM reasoning (research→analysis→file output), state serialization for resuming complex workflows, and built-in tools for web search/data processing. The framework supports full automation but retains optional human-in-the-loop controls for course correction when users deny command executions (per search result ). While requiring initial setup/API configuration, deployed agents operate independently across multiple reasoning cycles.
Open Source
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