PySpur-Dev/pyspur

A visual playground for agentic workflows: Iterate over your agents 10x faster

56
/ 100
Established

This tool provides a visual workspace for building and refining AI agents. You can define test cases, construct agents using Python code or a drag-and-drop interface, and then observe their behavior step-by-step. The output helps AI engineers quickly identify and fix issues in their agent workflows, turning raw data inputs into reliable, tested agent applications.

5,700 stars. No commits in the last 6 months. Available on PyPI.

Use this if you are an AI engineer struggling with the time-consuming process of debugging and iterating on AI agents, especially with prompt tuning and workflow visibility.

Not ideal if you are looking for a simple, out-of-the-box AI agent solution without needing to build and customize agents at a code or visual workflow level.

AI-agent-development prompt-engineering AI-workflow-orchestration AI-testing debugging-AI
Stale 6m
Maintenance 2 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 19 / 25

How are scores calculated?

Stars

5,700

Forks

424

Language

TypeScript

License

Apache-2.0

Last pushed

Jul 20, 2025

Commits (30d)

0

Dependencies

54

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