zeekayandHanzo Dev
1ce238f12f
TypeScript 7 is the native Go compiler and removes `baseUrl` and `moduleResolution: node|node10`. Both appear here, so `tsc` from TS7 refuses the config outright (TS5102 / TS5108) and cannot typecheck. `paths` targets resolve relative to `baseUrl` when it is set and relative to the tsconfig file otherwise. Every `baseUrl` folded here already pointed at the config's own directory, so dropping it moves nothing and the targets are left byte-identical. Where a baseUrl pointed elsewhere, each affected target was rewritten as join(baseUrl, target). `moduleResolution` was chosen from the declared `module`: commonjs -> node16, esnext/preserve -> bundler. Configs whose `module` is unset or exotic were left alone rather than guessed at. The result is accepted by BOTH toolchains, so nothing has to upgrade TypeScript in lockstep. Verified on hanzo/chat packages/api: tsc 5.9 779 -> 778 errors (no regression), and tsc 7.0.2 now runs the project in 2s where it previously refused the config. 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.