zeekayandHanzo Dev
2988cb5ec1
playground-modal.tsx carried the same import/usage split as the other eight files — it imported FlowLogoColor from ../../assets/FlowLogoColor.svg and rendered <HanzoFlowLogoColor>. The previous commit made the identifiers agree, which is what finally let rollup reach the import and report that the FILE has never existed either. Collapsed onto FlowLogo, the asset that does exist. FlowLogoColor was a colour variant of a monochrome mark used in an 18x18 slot, so one asset under one name is both correct for the brand and one fewer thing to keep in sync. Also removed the stale commented-out import above it, which pointed at a third spelling (FlowLogocolor.svg) that never existed. Removed pages/MainPage/pages/enchanced-beam-effect.tsx: imports BorderBeam from ../../../components/ui/border-beams, which is not in the repo, and nothing imports it. Same shape as importButtonComponent. Note both orphans were UNREACHABLE, so rollup never resolved them and neither was blocking the build — that is cleanup, not the fix. Widened the sweep from alias-only to alias + relative specifiers, which is what caught FlowLogoColor: 2778 -> 5495 checked, now 0 unresolved. Co-authored-by: Hanzo Dev <[email protected]>
Hanzo Flow
Hanzo Flow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Hanzo Flow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
Quickstart
Install locally (recommended)
Requires Python 3.10-3.13 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install hanzoflow -U
Run
To start Hanzo Flow, run:
uv run hanzoflow run
Hanzo Flow starts at http://127.0.0.1:7860.
Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Start a Hanzo Flow container with default settings:
docker run -p 7860:7860 hanzoai/flow:latest
Hanzo Flow is available at http://localhost:7860/.
Deployment
Hanzo Flow is completely open source and you can deploy it to all major deployment clouds.
Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Hanzo Flow more accessible.