The open-source cloud for production AI agents

The open-source
AI cloud for agents.

Build, deploy, and govern AI agents with one platform for models, tools, memory, vector search, sandboxes, IAM, KMS, and audit logs. Use Hanzo in the cloud, self-host it, or run it inside your own infrastructure.

390+ modelsAgent SDKMCP toolsVector DBIAM/KMSSelf-hostableOpen source
From prompt to production
$ curl -fsSL hanzo.sh | bash
$ hanzo login
$ hanzo dev "Build a RAG API for ./docs. Add /chat. Write tests. Deploy it."

Hanzo reads your codebase, plans the work, edits across files, runs tests, and prepares a deployable service with a complete audit trail.

Backed by builders. Used by teams shipping AI.

Hanzo is backed by leading technology partners and used across AI, commerce, media, infrastructure, and developer tooling.

Amazon logo
DigitalOcean logo
Google logo
Microsoft logo
NVIDIA logo
Techstars logo
Lux logo
Zoo Labs Foundation logo

Everything you need to ship AI software

One platform for the agent stack — from model access to deployment, governance, and audit.

Models

Access leading proprietary, open, and local models through one API.

Agents

Build agents that can use tools, inspect code, run tasks, and complete workflows.

Tools

Use 260+ MCP tools for browser, files, git, code, data, cloud, and internal systems.

Memory

Keep context, history, and vector search available across terminal, IDE, browser, and API.

Deployment

Run locally, in Hanzo Cloud, in Kubernetes, or in your own private environment.

Governance

Control permissions with IAM, protect secrets with KMS, and review every action with audit logs.

Why Hanzo

AI agents need infrastructure, not just prompts.

A good demo can autocomplete a function. A production agent needs context, permissions, tools, memory, tests, secrets, sandboxes, and a way for humans to approve what matters. Hanzo gives agents the operating environment they need to do real work safely.

Policy by default

Permissions, approvals, and rate limits are enforced at the platform — not bolted on per agent.

Evidence over vibes

Every agent run produces a diff, a log, and a test result. Decisions are reviewable, not guessed.

Persistent execution

Long-running sandboxes install dependencies, refactor large codebases, and iterate until tests pass.

Human control

Plan-only, implement, test, deploy — pick the autonomy level. Humans approve what matters.

Race agents. Ship the winner.

Hanzo can run multiple models or agents against the same task in parallel, then compare results using tests, code quality, performance, and policy checks. GPT, Claude, Gemini, Mistral, Groq, xAI, DeepSeek, Qwen, Hugging Face, OpenRouter, Replicate, Together, Fireworks, and local models can all participate in the same workflow.

ProvidersGPTClaudeGeminiMistralGroqxAIDeepSeekQwenHugging FaceOpenRouterReplicateTogetherFireworkslocal

Parallel attempts

Run multiple models or agents on the same task simultaneously in isolated sandboxes.

Automatic scoring

Score every attempt on tests, code quality, performance, and policy checks.

Best patch wins

Promote the winning diff; archive every attempt with full audit trail.

Works where developers already work.

Hanzo lives in your terminal, your IDE, your browser, and your API — sharing one brain across them all.

Terminal

Install with curl. Drive Hanzo Dev from the shell. Pipe agents into your build.

VS Code & JetBrains

First-class extension surface for editing, refactoring, and reviewing agent diffs.

Browser

Chrome, Firefox, and Safari extensions for in-context agent assistance.

API

OpenAI-compatible HTTP API for models, tools, memory, and agent execution.

hanzo dev
hanzo dev "Fix rate limiting. Add metrics. Add tests. Open a PR."
Plan created
Files updated
Tests passing
Pull request opened

Hanzo Dev

AI coding agent in your terminal.

Plan, edit across files, run tests, and open pull requests — driven by your repo, not by guesswork.

  • Build APIs, scripts, components, and internal tools
  • Fix bugs with full codebase context
  • Add tests and CI workflows
  • Refactor large systems safely
  • Generate deployable services
  • Modernize legacy code
Read the Dev docs

One shared brain for your AI tools.

Hanzo connects your models, tools, memory, and history across every surface. Your terminal, IDE, browser, agents, and API calls all share the same context layer.

Shared memory

Context persists across every surface and every session.

Vector search

Semantic search over your entire codebase and knowledge base.

Tool registry

260+ MCP tools available to every agent, IDE, and API call.

Unified history

Every prompt, every response, every tool call — searchable and replayable.

Team sync

Share context, memory, and projects across your team with org-scoped access.

Secure remote execution for teams.

Run long, parallel agent workloads on Hanzo Cloud or on your own Kubernetes — with isolation, quotas, and audit on by default.

Parallel runs

Execute work across repos and tasks simultaneously, with quotas per team.

Shared workspaces

Collaborate via shared sandboxed environments and shared memory.

Quality gates

Enforce policy, tests, and reviews before any change lands on main.

Isolation

Each run gets its own sandbox. Network, file, and tool egress are scoped.

Hanzo API

One API for models, tools, and agents.

Hanzo provides a unified API for chat, model routing, tool calling, memory, and agent execution. It is compatible with existing OpenAI-style SDKs. Change the base URL and start routing through Hanzo.

View API docs
import { Hanzo } from "@hanzo/ai";

const hanzo = new Hanzo({
  apiKey: process.env.HANZO_API_KEY,
});

const response = await hanzo.chat.completions.create({
  model: "claude-sonnet-4-6",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(response.choices[0].message.content);
Hanzo Network

Decentralized AI compute.

Hanzo Network lets contributors provide GPU capacity for inference and training workloads. Developers get access to distributed AI compute. Contributors earn rewards for useful capacity.

Compute marketplace

Contributors provide GPU capacity; workloads route by price, latency, and trust.

Verifiable work

Every job carries proof. Outputs are signed, attested, and auditable end-to-end.

Open participation

Run a node, serve inference, earn rewards. Open source. No gatekeeping.

Pricing

Start free. Scale on your terms.

No credit card to get started. Move to Enterprise when you need higher limits or private deployment.

Free

$0/month

Everything you need to build and ship your first AI agents.

  • 100K API calls / month
  • 1GB vector storage
  • 10GB file storage
  • Unlimited projects
  • Core agent features
  • Community support
Start building free

No credit card required

Enterprise

Custom

For teams that need higher limits, private deployment, SLAs, dedicated support, compliance, and custom infrastructure.

  • Higher API and storage limits
  • Private cloud or on-prem deployment
  • SLAs and dedicated support
  • SOC 2 and HIPAA documentation
  • Custom contracts and procurement
  • Solution architect engagement
Contact sales

Build agents you can actually ship.

Start with the CLI, deploy through the cloud, or run Hanzo on your own infrastructure.

terminal
$ curl -fsSL hanzo.sh | bash
$ hanzo dev "Build my first AI app"