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Pyspur
A visual playground for agentic workflows: Iterate over your agents 10x faster
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01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Iterate over your agents 10x faster.
AI engineers use PySpur to iterate over AI agents visually without reinventing the wheel.
AI engineers today face three problems of building agents:
Workflow Blindspots: Lack of visibility into step interactions causing hidden failures and confusion.
We launched a graphic design agent early 2024 and quickly reached thousands of users, yet, struggled with the lack of its reliability and existing debugging tools.
Solution: A playground for agents that saves time
Step 2: Build the agent in Python code or via UI
👤 Human in the Loop: Persistent workflows that wait for human approval.
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2025-07-20T19:18:16Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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