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 human-in-the-loop approval nodes for gated agent actions (2026-08-21)

Starting 2026-08-21, LoopCraft ships approval nodes for human-in-the-loop workflows. Not every step in an agent loop should run unattended: sending an email to a customer, publishing a page, or spending from a budget deserves a human look. Drop an approval node anywhere in a loop, and the run pauses there with the pending output assembled. The reviewer sees exactly what they need to decide and nothing more: the pending payload, the loop's summary of how it got there, and three actions — approve, reject, or edit the output before approving. An edited output re-enters the loop as the node's result, so a human fix flows downstream instead of restarting the run. Decisions are recorded in the trace with the reviewer, the timestamp, and any edits, sitting beside the iteration cap and cost budget events you already inspect. Timeouts make waiting safe: choose between failing the run, skipping the step, or auto-approving low-risk actions after a set period, per node. Notifications go out by email or webhook the moment a run reaches an approval gate, and one workspace can queue approvals from many loops in a single review inbox. Approval nodes are available on all plans. Try them at https://getloopcraft.com. Feedback: sapsap@qq.com.