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).

LoopCraft adds version history with visual diff for .loop.md files (2026-08-16)

Starting 2026-08-16, LoopCraft ships version history with visual diff for loop definitions. Every time you save a loop, the builder keeps a snapshot — nodes, edges, prompts, tool bindings, and the YAML frontmatter — so you can restore any earlier state with one click instead of rebuilding from memory. The new diff view compares any two snapshots side by side: added nodes appear in green, removed nodes in red, and changed prompts or tool settings are highlighted inline, so a quick glance answers the question every team asks after a loop misbehaves — what changed since it last worked? Version history works directly on the .loop.md files you export, which means snapshots stay meaningful even when definitions move between the visual builder and your repository. You can name milestones, such as 'before adding the evaluator branch', to keep long-running projects navigable. Version history is available on all plans. Try it at https://getloopcraft.com. Feedback: sapsap@qq.com.