{"repo":"PySpur-Dev/pyspur","free":true,"listed":false,"github":"https://github.com/PySpur-Dev/pyspur","clone":"git clone https://github.com/PySpur-Dev/pyspur.git","description":"A visual playground for agentic workflows: Iterate over your agents 10x faster","language":"TypeScript","stars":5771,"topics":["agent","ai","llm","python","workflow","deepseek","framework","gemini","graph","human-in-the-loop"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"Iterate over your agents 10x faster. AI engineers use PySpur to iterate over AI agents visually without reinventing the wheel. https://github.com/user-attachments/assets/54d0619f-22fd-476c-bf19-9be083d7e710 🕸️ Why PySpur? Problem: It takes a 1,000 tiny paper cuts to make AI reliable AI engineers today face three problems of building agents: Prompt Hell : Hours of prompt tweaking and trial-and-error frustration. Workflow Blindspots : Lack of visibility into step interactions causing hidden failures and confusion. Terminal Testing Nightmare Squinting at raw outputs and manually parsing JSON. We've been there ourselves, too. 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 1: Define Test Cases https://github.com/user-attachments/assets/ed9ca45f-7346-463f-b8a4-205bf2c4588f Step 2: Build the agent in Python code or via UI https://github.com/user-attachments/assets/7043aae4-fad1-42bd-953a-80c94fce8253 Step 3: Iterate obsessively https://github.com/user-attachments/assets/72c9901d-a39c-4f80-85a5-f6f76e55f473 Step 4: Deploy https://github.com/user-attachments/assets/b14f34b2-9f16-4bd0-8a0f-1c26e690af93 ✨ Core features: - 👤 Human in the Loop : Persistent workflows that wait for human approval. - 🔄 Loops : Iterative tool calling with memory. - 📤 File Upload : Upload files or paste URLs to process documents. - 📋 St","default_branch":null,"files":null,"tree":[],"storefront":"/r/PySpur-Dev","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PySpur-Dev/pyspur/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}