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PySpur

A visual playground for agentic workflows — iterate over your agents 10x faster

★ 5,745 GitHub Apache-2.0 agentworkflowai-agentsvisual-builderllm KI-Agenten

Überblick

PySpur is an open-source visual playground for building and iterating on agentic workflows. Unlike traditional AI agent builders that hide the complexity, PySpur gives you a full graph-based editor where you can see exactly how your agents think, act, and respond. It supports multiple LLM providers (OpenAI, Anthropic, Gemini, Ollama), human-in-the-loop loops, tracing, RAG integration, and multimodal inputs. Perfect for prototyping and production-ready agent workflows.

Anforderungen

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  pyspur:
    image: ghcr.io/pyspur-dev/pyspur-backend:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/pyspur:/data

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Anleitungen & Artikel

Getting Started with PySpur: Build Your First Agent Workflow in 10 Minutes

Step-by-step tutorial for running PySpur with Docker and building a research agent workflow with LLM nodes, web search, and human-in-the-loop.

Jul 4, 2026

PySpur: A Visual Playground for Agentic Workflows

PySpur is an open-source visual graph-based builder for agentic workflows. See how it compares to traditional agent frameworks and why visual debugging changes everything.

Jul 4, 2026