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

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

✓Cloud Run

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 Compose or GCP Cloud Run.

agentbreeder-deploy

Deploy Pipeline

Deployment Targets

pending

Local

Docker Compose

localhost:8080

pending

Cloud Run

GCP · Serverless

agent-abc.a.run.app

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

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 supported. Same command, either target.

🔒

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.

🏆

LLM-as-Judge Eval Hub

Multi-criteria scoring (accuracy, helpfulness, safety, groundedness) via Claude, GPT-4o, or Gemini. Public leaderboard, regression detection, CSV export.

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.

Built by

The inventor

Rajit Saha

Inventor & Author

Director of Data Intelligence Platform · Udemy

Spent 20 years making data platforms bigger and faster. Then decided smarter was more interesting. At Udemy, shipped AI agents that actually do things in production. AgentBreeder is the tool I kept wishing existed while building them.

The pattern across 8 companies and 23 years: architect it, build the MVP personally, hand it to a great team to scale. Passive data warehouses had a good run. Active, agent-driven systems are what comes next — and that's what I'm building now.

23+ years

industry experience with distributed systems & data infrastructure

8 companies

Oracle · IBM · Yahoo · Teradata · VMware · LendingClub · Experian · Udemy

Coming soon

AgentBreeder Cloud

The open-source CLI you love — now with a fully managed control plane. Ship your first production agent in under 5 minutes, with no infrastructure to manage.

Same agent.yaml format. Same CLI. Just add cloud: claude-managed to your deploy block.

⚡

Zero-config deploys

Push agent.yaml. We provision, scale, and secure the infrastructure. No AWS console, no Kubernetes YAML, no Terraform.

🔒

Governance out of the box

RBAC, cost attribution, audit trail, and PII guardrails enforced at the platform level — not bolted on per team.

📊

Fleet-wide observability

Every LLM call traced, every token counted, every tool execution logged. Full cost dashboards across all agents and teams.

🌐

Multi-cloud by default

Deploy to AWS, GCP, or Azure with one flag — same agent.yaml, same governance, same CLI.

🏪

Private marketplace

Share agents, prompts, tools, and MCP servers across your org. One-click deploy from an internal catalog.

🤝

Agent-to-agent network

A2A protocol built in. Your agents can discover and call each other across teams, clouds, and frameworks.

Early access opens Q3 2026 · No credit card required

Build agents.Deploy anywhere.Govern free.