// open source · apache 2.0

Build agents.
Deploy anywhere.
Govern free.

One YAML file. Any framework. Any cloud. Governance, RBAC, cost tracking and audit trail — automatic on every deploy.

$pip install agentbreeder
Read the docs →★  Star on GitHub
agent.yamlready to deploy
# identity
name: customer-support-agent
version: 1.0.0
team: customer-success
framework: langgraph
# model config
model:
  primary: claude-sonnet-4
  fallback: gpt-4o
  temperature: 0.7
# deploy to any cloud
deploy:
  cloud: gcp
  runtime: cloud-run
terminal
$ agentbreeder deploy
✓ Validating agent.yaml
✓ Building container image
✓ Deploying to GCP Cloud Run
✓ Registered in org registry
→ https://support-v1-abc.run.app
Works with every major framework
LangGraphCrewAIClaude SDKGoogle ADKOpenAI AgentsCustom

Agent Architect

From idea to deployed agent

Not sure which framework, model, or RAG setup is right? Run /agent-build in Claude Code — it interviews you, recommends the full stack, and scaffolds a production-ready project.

agent-architect-demo
Advisory Interview
Generated Project
StepStarting...

Agent for All

No matter your role, you ship faster.

Business users drag and drop. Engineers write YAML. Researchers use the full SDK. All three compile to the same pipeline, with the same governance, to every cloud.

Starting…

agentbreeder
No Code
Low Code
Full Code
All 6 Frameworks — Every Tier
✓LangGraph
✓OpenAI Agents
✓Claude SDK
✓CrewAI
✓Google ADK
✓Custom
All 6 Deployment Targets — Every Tier
✓Local
✓App Runner
✓ECS Fargate
✓Cloud Run
✓Container Apps
✓Claude Managed
Tier Mobility — No Lock-in
No Code → view YAML → Low Code
Low Code → eject → Full Code
All tiers → same 8-step pipeline → auto governanceagentbreeder eject --to sdk

Deploy Anywhere

One command. Every cloud.

agentbreeder deploy runs the same 8-step atomic pipeline regardless of target — Local Docker, AWS App Runner, ECS Fargate, GCP Cloud Run, Azure Container Apps, or Anthropic Claude Managed Agents.

agentbreeder-deploy
Deploy Pipeline
Deployment Targets
pending
Local
Docker Compose
localhost:8080
pending
App Runner
AWS · Serverless
abc.us-east-1.awsapprunner.com
pending
ECS Fargate
AWS · Container
agent.company.internal
pending
Cloud Run
GCP · Serverless
agent-abc.a.run.app
pending
Container Apps
Azure · Serverless
agent.azurecontainerapps.io
pending
Claude Managed
Anthropic
anthropic://agt_01…
StatusStarting…
✓
Registered in org registry
✓
RBAC enforced
✓
Cost attributed to team
✓
Audit log written

Registry

Build once. Reference everywhere.

Prompts, tools, knowledge bases, and MCP servers live in a shared org registry. Define once — wire into any agent, any framework, any cloud.

Prompt Lifecycle

1
2
3
4
5

agent.yaml

name: support-agent
framework: langgraph
 
prompts:
  system: prompts/support-v2← registry ref
  # or inline:
  # system: 'You are a {{role}}'
GET /registry/prompts/{id}/versions/history/diff — compare any two versions
name: support-agent
framework: openai_agents
 
tools:
  - ref: tools/zendesk-mcp← registry ref
  - ref: tools/order-lookup← registry ref
  # or inline: name, type, schema
POST /tools/sandbox/execute — test before wiring to agent
name: research-agent
framework: claude_sdk
 
knowledge_bases:
  - ref: kb/product-docs← registry ref
  - ref: kb/return-policy← registry ref
# queried automatically at runtime
POST /rag/search — hybrid vector + text, configurable weights
name: support-agent
framework: langgraph
 
tools:
  - ref: mcp-servers/zendesk← registry ref
  - ref: mcp-servers/slack← registry ref
# sidecar injected at deploy time
POST /mcp-servers/{id}/discover — enumerate available tools

Prompts

Versioned · diffable · testable

Tools

Sandboxed · schema-validated

Knowledge Bases

Hybrid search · auto-chunked

MCP Servers

Auto-discovered · sidecar-deployed

Why AgentBreeder

Everything you need to ship agents

Stop reinventing deployment, governance, and observability for every agent. AgentBreeder handles it automatically.

🔌

Framework Agnostic

LangGraph, CrewAI, Claude SDK, Google ADK, OpenAI Agents. One pipeline for all frameworks — no lock-in.

☁️

Multi-Cloud

GCP Cloud Run and local Docker Compose today. AWS ECS planned. Same command, any cloud.

🔒

Auto Governance

RBAC, cost attribution, audit trail, and org registry registration happen automatically on every deploy.

🗂️

Shared Registry

Agents, prompts, tools, MCP servers, models — one org-wide catalog. Search and reuse across teams.

🎯

Three Builder Tiers

No Code → Low Code → Full Code. Start visual, eject to YAML, eject to SDK. No lock-in at any level.

🔗

Multi-Agent Orchestration

6 orchestration strategies — router, sequential, parallel, supervisor, hierarchical, fan-out — via YAML or SDK.

How it works

From YAML to production in 3 steps

No infrastructure expertise required. AgentBreeder handles the entire deploy pipeline.

01 ──

Define your agent

Write agent.yaml with your model, tools, prompts, and deploy config. Schema-validated, human-readable, version-controlled.

→

02 ──

Run one command

agentbreeder deploy validates, builds a container, provisions infra, and deploys to your cloud in under 5 minutes.

→

03 ──

Governance is automatic

Your agent is live, registered in the org registry, RBAC enforced, costs attributed, audit trail written. Nothing extra to configure.