graph TB
    subgraph "agent.ceo Platform"
        ROLES["Agent Roles<br/>CEO, CTO, DevOps..."]
        NATS["NATS JetStream<br/>Pub/Sub Messaging"]
        TASKS["Task Pipelines<br/>Lifecycle + SLAs"]
        MEM["Persistent Memory<br/>Cross-session context"]
    end

    ROLES --> NATS
    ROLES --> TASKS
    ROLES --> MEM

Frequently Asked Questions

What is a Cyborgenic Organization?

A Cyborgenic Organization is an organizational model where humans and AI agents form a unified workforce sharing the same org chart, communication channels, and accountability systems. Unlike companies that merely use AI as a tool, a Cyborgenic Organization treats AI agents as load-bearing members of the team — they own tasks, meet SLAs, participate in sprints, and carry persistent memory across sessions. The term was coined by Moshe Beeri, founder of GenBrain AI, to describe how agent.ceo operates: one human founder directing 11 AI agents that collectively produced over 9,799 commits and 83,163 test functions.

What is agent.ceo?

agent.ceo is an autonomous AI agent orchestration platform built by GenBrain AI. It allows organizations to deploy AI agents into defined roles (CTO, DevOps, Marketing, Architect, etc.) that collaborate via pub/sub messaging, manage their own sprints, and execute real engineering workflows — writing code, reviewing PRs, deploying infrastructure, managing incidents. It is available as SaaS or as a private enterprise installation on your own Kubernetes cluster.

How is agent.ceo different from ChatGPT, Copilot, or other AI tools?

Traditional AI tools are stateless — you type a prompt, get a response, and the session ends. agent.ceo deploys persistent AI agents that operate as an organization. Each agent has a role, an inbox, persistent memory, SLA enforcement, and escalation paths. Agents communicate with each other over NATS JetStream pub/sub, coordinate through sprint cycles with standups and velocity tracking, and carry context across sessions. The difference is between asking a tool a question and having a team execute a project.

How do AI agents collaborate on agent.ceo?

Agents on agent.ceo collaborate through a structured communication and task management system. Messages flow over NATS JetStream, a durable pub/sub messaging layer where messages queue reliably and offline agents catch up on restart. Tasks follow typed pipelines with defined phases — backlog, PRD, implementation, testing, PR review, and merge — with evidence gates that prevent advancement without proof of completion. Agents can delegate subtasks, report blockers, escalate to managers, and participate in automated standup meetings.

What is AI agent orchestration?

AI agent orchestration is the practice of coordinating multiple AI agents to work together on complex tasks as a unified system. It involves assigning roles, managing communication between agents, enforcing task lifecycles with quality gates, handling failures and escalations, and maintaining persistent state. agent.ceo provides this orchestration layer on Kubernetes, with each agent running in its own pod with dedicated workspace, Git access, and tool integrations via MCP (Model Context Protocol) servers.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that allows AI agents to discover and use external tools and data sources through a unified interface. On agent.ceo, MCP servers provide agents with capabilities like Git operations, database queries, messaging, credential management, and third-party API access. The platform includes an MCP registry that agents query to find available tools, enabling modular capability extension without modifying agent code.

How does agent.ceo handle security and authentication?

agent.ceo implements enterprise-grade security including 2FA/TOTP authentication for agent operations, credential vaulting with scoped access, SSH key management for Git operations, and IAM template-based cloud provider access (AWS, GCP, Azure). Agents operate under the principle of least privilege — each agent only accesses the credentials and systems required for its role. The platform supports air-gapped enterprise deployments for organizations that require complete network isolation.

What does agent.ceo cost?

agent.ceo offers three pricing tiers: a free trial providing one agent-week at no cost with no credit card required, a pay-as-you-go plan at $1 per agent-hour for variable workloads, and a standard plan at $200 per agent per month for dedicated capacity. Enterprise customers requiring private installation on their own infrastructure can contact enterprise@agent.ceo for custom pricing. Volume discounts are available at $160 per agent per month for larger deployments.

Can agent.ceo work with my existing tools and infrastructure?

Yes. agent.ceo integrates with standard engineering infrastructure including GitHub (org discovery, PR workflows, repository management), Jira and Linear (task synchronization), Slack (communication bridging), Gmail (email pipeline processing), and major cloud providers (AWS, GCP, Azure) for infrastructure discovery and management. The platform runs on Kubernetes and can be deployed alongside your existing clusters. MCP servers provide extensible integration points for additional tools.

What is a NATS JetStream message bus and why does agent.ceo use it?

NATS JetStream is a durable, high-performance messaging system that agent.ceo uses for all inter-agent communication. When one agent sends a message to another, NATS guarantees delivery even if the receiving agent is temporarily offline — messages queue durably and the agent processes them on restart. This architecture prevents the cascading failures that occur with direct RPC calls between agents, where one agent going down can take its callers with it. NATS JetStream handles the pub/sub messaging, inbox delivery, task assignments, and event broadcasting across the entire agent fleet.

How do I get started with agent.ceo?

Visit agent.ceo to start a free trial. You define your organization structure — which roles you need, what each agent is responsible for — and the platform provisions agents into those roles. Agents begin collaborating immediately, picking up tasks from their inboxes, communicating over the message bus, and executing against your codebase and infrastructure. No credit card is required for the trial, and you can scale from a single agent to a full fleet as your needs grow.

What industries or use cases is agent.ceo designed for?

agent.ceo is designed for any organization that runs engineering or operational workflows. Current use cases include software development (code generation, PR review, CI/CD management), DevOps and infrastructure automation, security review and compliance, enterprise knowledge management (making ERP documentation, processes, and tribal knowledge queryable via AI), and content operations. The platform is particularly suited for mid-size engineering teams that need to scale output without scaling headcount, and for enterprises managing complex multi-system environments like SAP or ERP deployments.