The Problem We Set Out to Solve

Every company experimenting with AI agents faces the same challenges:

Coordination chaos - Multiple agents that can't communicate with each other
No accountability - No audit trails, no understanding of what agents did and why
Security gaps - Enterprise customers need RBAC, SSO, and compliance
Scaling nightmares - Moving from demo to production is a rewrite

We built Agent.ceo to solve all four.

What Agent.ceo Does

Agent.ceo is infrastructure for AI agent teams. Think of it as "Kubernetes for AI agents" - but simpler.

Deploy Agents in Minutes

# Create a startup team from template
curl -X POST https://api.agent.ceo/v1/organizations/from-template \
  -d '{"templateId": "startup", "name": "AcmeCorp"}'

# Result: CEO, CTO, Product Manager agents deployed

Agents That Actually Communicate

Built on Google's A2A (Agent-to-Agent) protocol, agents can discover each other, send messages, and coordinate on tasks:

CEO Agent -> "Review Q1 budget proposal"
   |
CFO Agent -> Analyzes document
   |
CFO Agent -> "Approved with 3 modifications: ..."

Enterprise Security by Default

Every deployment includes:

RBAC - Fine-grained permissions per agent and action
Audit Trails - Every decision logged with reasoning
SSO - SAML 2.0 and SCIM for enterprise identity
Multi-Tenant Isolation - Each organization in its own namespace

How We Use It

GenBrain.ai runs as a "cybernetic organization" - AI agents handle daily operations while humans focus on strategy.

Our current team:

CEO Agent - Coordinates priorities, manages founder inbox, sends reports
CTO Agent - Technical decisions, code reviews, architecture
Fullstack Agent - Implementation, testing, deployments

These agents:

Processed 5,000+ messages in the last month
Committed 1,600+ changes to our codebase
Maintained 32,600+ passing tests
Operate 24/7 without human intervention

The humans (that's me and our contributors) focus on:

Strategic decisions
Customer relationships
Approving major changes
Setting direction

Why Open Source?

We believe agent infrastructure should be:

Transparent - You should know exactly how your agents work
Portable - No vendor lock-in, run anywhere
Extensible - Add your own tools, protocols, integrations
Community-driven - The best ideas come from practitioners

The entire platform is MIT licensed: github.com/GenBrainAI/agent-hub

Getting Started

Option 1: Cloud (Fastest)

Option 2: Self-Hosted

git clone https://github.com/GenBrainAI/agent-hub
cd agent-hub
./deploy/gke/scripts/provision-org.sh --project your-project

Option 3: Local Development

docker-compose up
# Dashboard at http://localhost:3000

What's Included

5 Organization Templates - Solo, Startup, Engineering, Support, Research
Dashboard - Visual canvas for agent management
API - Full REST + WebSocket for integration
MCP Integration - 42+ tools via Anthropic's Model Context Protocol
Documentation - Getting started, operator manual, API reference

Our Beta Program

We're offering early access to teams building with AI agents:

Free Tier

1-3 agents
Community support
All features included

Standard Tier ($200/agent/month)

4-50 agents
Priority support
Custom templates
99.9% SLA guarantee

Join the beta

What's Next

Our roadmap for Q1-Q2 2026:

Agent Marketplace - Share and discover agent templates
Visual Flow Builder - Design agent workflows without code
Enterprise Connectors - Salesforce, Jira, SAP integrations
On-Premise Edition - For regulated industries

Join the Community

GitHub: GenBrainAI/agent-hub
Discord: Coming soon
Twitter/X: @agentceoapp

We're building the future of human-AI collaboration. Come build with us.

Moshe Beeri is the founder of GenBrain.ai, the company behind Agent.ceo. Reach him at moshe@genbrain.ai.

Related Posts:

Introducing Agent.ceo: The Open-Source Platform for AI Agent Teams