PySpur-Dev/pyspur
A visual playground framework for building and iterating on AI agent workflows with multi-provider LLM support including DeepSeek, Gemini, and Ollama.
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PySpur provides a visual interface for developing AI agents, enabling engineers to iterate on prompts, manage tool use, and visualize workflow execution. It supports multiple LLM providers such as DeepSeek, Gemini, and Ollama, with capabilities for RAG, multimodal inputs, reasoning, and human-in-the-loop workflows. The platform aims to accelerate agent development by offering visual debugging, tracing, and rapid iteration tools.
Frequently asked
- What is PySpur-Dev/pyspur?
- A visual playground framework for building and iterating on AI agent workflows with multi-provider LLM support including DeepSeek, Gemini, and Ollama.
- Is pyspur open source?
- Yes — PySpur-Dev/pyspur is open source, released under the Apache-2.0 license.
- What language is pyspur written in?
- PySpur-Dev/pyspur is primarily written in TypeScript.
- How popular is pyspur?
- PySpur-Dev/pyspur has 5.8k stars on GitHub.
- Where can I find pyspur?
- PySpur-Dev/pyspur is on GitHub at https://github.com/PySpur-Dev/pyspur.