Where to start
Where to start
Six ways into Hanzo, and what each one is actually for. Some are a page you read, some are a command you run. None of them need a sales call first.
Pick what to try
Reach for the one that matches the problem in front of you.
Zen models
The family we train ourselves — 0.6B you can run on a laptop up to frontier. Most are open weight; read the specs and the price per million tokens.
See the modelsBot
Bots as backend services: routing, async runs that last hours, durable state, and an identity per bot instead of a shared key.
Read about BotMCP
Thirteen tools — shell, files, code, git, HTTP — behind one server. One block in .mcp.json and your client has them.
Set up MCPHanzo Dev
A coding agent in your terminal. It opens the files, makes the change, runs the tests, and shows you the diff.
Install DevChat
One thread with every model, your MCP tools, your files and a code sandbox. Free to try at hanzo.chat.
Open ChatAgents
A Python SDK where an agent is a model, instructions and tools — and several of them can sit behind one router.
Read the SDKOr copy-paste a starter
A key, a model name, and a message is the whole first request.
curl https://api.hanzo.ai/v1/chat/completions \
-H "Authorization: Bearer $HANZO_API_KEY" \
-d '{"model":"zen5","messages":[{"role":"user","content":"Hello"}]}'pip install hanzo-agent
from agents import Agent, Runner
agent = Agent(name="Assistant", instructions="You are a helpful assistant")
print(Runner.run_sync(agent, "Write a haiku about recursion").final_output)npm install -g @hanzo/mcp
hanzo-mcp list-tools
hanzo-mcp install-desktopRead the code first if you want
Dev, MCP, the agent SDK, the CLI, the editor extensions and the clients in four languages are all on GitHub. So are most of the model weights.