🖼 👉 Name: pyspur 🤖 Type: 🎯Project 👏 Introduction: A tool that enables users to rapidly iterate the workflow of AI - only diagrams in a visual way. It provides a platform where AI engineers can avoid repeating basic work...

👉 Name: pyspur
🤖 Type: 🎯Project
👏 Introduction: A tool that enables users to rapidly iterate on agent workflows in a visual manner. It provides a platform for AI engineers to quickly define, build, iterate, and deploy agents without repeating basic work.
- ✅ Test-driven: Build workflows, run test cases, and iterate.
- 👤 Human-in-the-loop: Persist workflows and wait for human approval or rejection.
- 🔄 Loop: Iterative tool calls with memory function.
- 📤 File upload: Upload files or paste URLs to process documents.
- 📋 Structured output: JSON Schema UI editor.
- 🗃️ RAG: Parse, chunk, embed, and update data to a vector database.
- 🖼️ Multimodal: Supports video, image, audio, text, code.
- 🧰 Tools: Slack, Firecrawl.dev, Google Sheets, GitHub, etc.
- 🧪 Evaluation: Evaluate agents on real datasets.
- 🚀 One-click deployment: Publish as an API and integrate anywhere.
- 🐍 Python-based: Add new nodes by creating a single Python file.
- 🎛️ Vendor support: Supports over 100 LLM vendors, embedders, and vector databases.

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