Is LoopCraft free to use?

Yes. LoopCraft offers a free tier for designing and exporting AI agent loop patterns. A Pro plan is available for advanced features.

What is Loop Engineering?

Loop Engineering is designing the control flow for AI agents: how they plan actions, observe results, and iterate. LoopCraft includes 11 pre-built patterns based on research from Anthropic, OpenAI, and others — including ReAct, Plan-Execute, Evaluator-Optimizer, Multi-Agent, and more. Design loops visually and export to LangGraph, OpenAI Agents SDK, AutoGen, or CrewAI.

Which frameworks can I export to?

LoopCraft exports to LangGraph (Python), OpenAI Agents SDK (TypeScript), AutoGen (Python), and CrewAI (Python). Each export produces working code you can run directly in your project.

Do I need to write code?

No. LoopCraft is a visual builder — you design loop patterns with a drag-and-drop interface and configure nodes without writing code. Code export to LangGraph, OpenAI SDK, AutoGen, and CrewAI is generated automatically and is optional.

What loop patterns are supported?

LoopCraft supports 11 agent loop patterns: ReAct (think-act-observe cycle), Prompt Chaining (sequential steps with quality gates), Routing (classify and direct inputs), Parallel Sectioning (independent subtasks in parallel), Parallel Voting (multiple runs for confidence), Orchestrator-Workers (dynamic task decomposition), Evaluator-Optimizer (generate-evaluate loop), Plan-and-Execute (plan then execute with replanning), ReWOO (variable passing between tasks), LLM Compiler (DAG-based parallel execution, 3.6x speedup), and Multi-Agent (collaborative agents with roles).

AI Audio Noise Reduction for Podcast and Music Production

Starting today, LoopCraft introduces AI-powered audio noise reduction for podcast and music production. The new feature uses a deep learning model trained on thousands of hours of real-world recordings to identify and remove background noise, electrical hum, and room echo from audio clips — without degrading the quality of the desired signal. Drop any audio file into the noise reduction panel, and the AI analyzes the frequency spectrum in real time. It separates the primary signal (voice, instruments) from unwanted noise (air conditioning, traffic, microphone hiss, room reverb) and applies targeted reduction to each noise component. The result is clean, dry audio that sounds like it was recorded in a treated studio, even if the original recording was made in a spare bedroom. The noise reduction engine offers three modes: Auto, which analyzes the clip and applies a balanced reduction; Manual, which lets you target specific frequency bands and noise types; and Adaptive, which adjusts reduction dynamically across the clip to handle changing noise environments. A real-time preview lets you A/B compare the original and processed audio before committing. For podcasters, the feature saves hours of manual cleanup. For music producers, it opens up new possibilities for sampling and loop processing — you can now clean up vintage recordings, field recordings, or any audio that was captured in less-than-ideal conditions. The AI model runs locally on your machine, so your audio files never leave your computer. Processing is fast: a 30-minute podcast episode is cleaned in under two minutes on a modern laptop. AI audio noise reduction is available on all plans. Try it at https://getloopcraft.com. Feedback: sapsap@qq.com.