Visual workflow editor for building node-based AI agent workflows with drag-and-drop interface, A2A integration, and real-time execution
kudosflow is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view akudo7/kudosflow --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
A web-based visual editor that lets you create AI agent workflows by dragging and dropping nodes. Connect nodes to define sequences, integrate with A2A and MCP protocols, and run workflows in real time.
Kudosflow is a production-ready visual workflow editor designed for building and executing AI agent workflows. It features a drag-and-drop node-based interface built with React Flow, supports the Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP), and allows real-time execution of workflows. Workflows can be exported as portable JSON for sharing and version control. The tool is built with TypeScript and React, and it can be used as a VS Code extension or standalone web app.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 128 days ago.
10 GitHub stars indicate community interest.
0 open issues signal maintenance load.
NOASSERTION license detected.
Designing multi-step AI agent workflows
Prototyping agentic automation pipelines
Integrating multiple AI models (e.g., Ollama, OpenAI) in a single workflow
Building visual logic for AI agents with conditional branching
Sharing and reusing workflow configurations as JSON
Workflows run locally; no external data transmission beyond configured integrations
Be cautious when integrating with external APIs; validate input and output
No built-in authentication; use in trusted environments
Create a workflow that takes a user query, sends it to an LLM for analysis, then routes the result to either a web search tool or a database query node based on the LLM's output.
10
Stars
2
Forks
0
Issues
NOASSERTION
License
Extract any website's complete design system with one command.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
Visual workflow editor for building node-based AI agent workflows with drag-and-drop interface, A2A integration, and real-time execution
AI developers building complex agent chains, Researchers experimenting with multi-agent systems, Developers prototyping agent-based automation
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Workflows run locally; no external data transmission beyond configured integrations Be cautious when integrating with external APIs; validate input and output
Similar or complementary options to evaluate include design-extract, Argos, uSpec.
Jul 11, 2026
3 security/trust notes recorded.
Setup difficulty is 3/5.