mirror of
https://github.com/hanzoai/agents.git
synced 2026-10-30 18:48:36 +00:00
Transforms hanzoai/agents from a marketplace config repo into a full agent orchestration platform by merging the AgentField infrastructure: - Go control plane (K8s-like agent orchestration, service mesh, DAG workflows) - Python SDK (FastAPI-based agent framework, LiteLLM, memory, DID/VC) - TypeScript SDK (@hanzo/agents - Vercel AI SDK, MCP, workflows) - Go SDK (idiomatic agent builder + client) - React 19 embedded dashboard (XyFlow DAGs, Recharts, Radix UI) - Docker/K8s/Helm deployment configs - Examples: hello world, deep research, RAG, simulation, benchmarks - Functional test suite across Python/Go/TypeScript All references rebranded: AgentField → Hanzo Agents - Module: github.com/hanzoai/agents/control-plane - Python: hanzo_agents - TypeScript: @hanzo/agents - Go: github.com/hanzoai/agents/sdk/go - Env vars: HANZO_AGENTS_* - Config: hanzo-agents.yaml Previous marketplace configs moved to config/ directory.
1.0 KiB
1.0 KiB
Deployments
This repository ships a few ready-to-run deployment options so you can evaluate Hanzo Agents quickly.
Full deployment guides: hanzo-agents.ai/guides/deployment/overview
Pick one
1) Docker Compose (fastest local evaluation)
Best if you want to try the UI + execute API in minutes on a laptop.
2) Helm (recommended for Kubernetes)
Best for production-like installs and customization via values.yaml.
- Chart + docs:
deployments/helm/hanzo-agents - Website guide: hanzo-agents.ai/guides/deployment/helm
3) Kustomize (plain Kubernetes YAML)
Best if you want transparent manifests and minimal tooling.
- Docs:
deployments/kubernetes/README.md - Website guide: hanzo-agents.ai/guides/deployment/kubernetes