Hanzo Flow
Build an AI workflow on a canvas, ship it as an API
Drag a model, a vector store and a prompt onto a canvas, wire them together, and run it with the values you actually have. Every component is Python you can open and edit in place, so the canvas stops where your code starts instead of at a wall. When it works, publish it: a REST endpoint, a JSON file a Python app loads, or an MCP server, which turns the flow into a tool any MCP client can call.
Models, vector stores, document loaders, text splitters, output parsers, memory, retrievers and toolkits — plus anything you write yourself, which is a component like the rest.
Paste and ship
Paste this into any agent. It reads the skill manifest and calls Flow from there.
Read https://hanzo.ai/skill.md and use Hanzo Flow in my project. Start with: hanzo flow workflows list
20% to the author of the code that runs
Verify that you own a repository, and every org that deploys a project built from it pays you 20% of its metered spend, accrued each period.
Run it locally first
uv pip install hanzoflow, then uv run hanzoflow run. It opens on 127.0.0.1:7860. Docker works too.