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agentbreeder

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Define Once. Deploy Anywhere. Govern Automatically.

Versions collected1

Direct dependencies68From release 2.7.3

Last observed20 Oct, 21:35 UTC

README

Version 2.7.3 documentation

AgentBreeder™ — v2.0

The only agent platform that doesn't pick a winner.

Build with anyone's framework. Deploy to anyone's cloud. Govern automatically. One YAML, one command — Apache 2.0, no vendor lock-in.

Quick Start · Install · Docs · Contributing

Your company has 47 AI agents. Nobody knows what they cost, who approved them, or which ones are still running. Three teams built the same summarizer. The security team hasn't audited any of them.

AgentBreeder fixes this.

Write one agent.yaml. Run agentbreeder deploy. Your agent is live — with RBAC, cost tracking, audit trail, and org-wide discoverability. Automatic. Not optional.

The Problem

AI coding tools make it easy to build agents. Nobody has made it easy to ship them responsibly.

What happens today	What happens with AgentBreeder
Every framework has its own deploy story	One YAML, any framework, any cloud
No RBAC — anyone deploys anything	RBAC validated before the first container builds
No cost tracking — $40k surprise cloud bills	Cost attributed per team, per agent, per model
No audit trail — "who deployed that?"	Every deploy logged with who, what, when, where
No discoverability — duplicate agents everywhere	Org-wide registry — search before you build
Governance is bolted on after the fact	Governance is a structural side effect of deploying

Governance is not configuration. It is a side effect of the pipeline. There is no way to skip it.

How It Works

Eight atomic steps run in sequence:

parse → RBAC check → *(approval gate if required)* → resolve deps → build container → provision infra → deploy → health check → register. If any step fails, the entire deploy rolls back.

Three Ways to Build

All three tiers compile to the same internal format. Same deploy pipeline. Same governance. No lock-in.

Tier	Who	How	Eject to
No Code	PMs, analysts, citizen builders	Visual drag-and-drop canvas — pick model, tools, prompts from the registry	Low Code
Low Code	ML engineers, DevOps	Write `agent.yaml` in any IDE	Full Code (`agentbreeder eject`)
Full Code	Senior engineers, researchers	Python/TS SDK with full programmatic control	—

Use with Claude Code

Install the /agent-build architect as a Claude Code plugin:

claude plugin marketplace add agentbreeder/agentbreeder
claude plugin install agent-build@agentbreeder

Then run /agent-build in Claude Code to scaffold an agent (it recommends framework, model, memory, RAG, and deploy target, then generates agent.yaml + code).

Documentation

User docs (guides, references, examples) — agentbreeder.io/docs


How-To guides	Install, deploy, orchestrate, evaluate
Quickstart	Full local platform in one command
Self-hosting	Run the platform on your own Kubernetes via Helm (`deploy/helm/agentbreeder`)
CLI reference	All commands and flags
SDK reference	Python + TypeScript full-code SDK

For contributors — internal engineering references in this repo:


Contributing	How to contribute — setup, standards, PR process
Architecture	Platform architecture — deploy pipeline, abstractions, data model
Design	Feature design docs — RBAC, LiteLLM gateway, polyglot agents

Changelog · Roadmap · Issues · Discussions · Discord · Apache 2.0 · Trademark · Code of conduct · CLA · Security · Governance

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Versions 1

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Version	Published	Direct dependencies	Open version
2.7.3	4 Jul 2026	68

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agentbreeder/agentbreeder

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package:b34476647c84685ec0a9a37511236a9ab861f733b1b702522cf8d29e0062b5e3