KataGenesis Vanguard
Governance for agentic delivery

Let agents operate.
Keep humans in control.

KataGenesis Vanguard turns human intent into governed, traceable execution—so AI agents can deliver software without leaving control, context, or evidence behind.

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Developer environment · Active product development

Control plane
Illustrative model
Active sessionsClaimedAgent-owned
Governed workTracedEvidence-backed
Approval gatesHumanExplicit review
Delivery traceMODEL
01Intent capturedGenesis
02Work governedTicket + protocol
03Agent executingSession active
04Evidence reviewApproval gate
$ kgv compass operational
Intent-drivenAgent-operatedHuman-supervisedEvidence-backed

The operating gap

AI can move fast.
Operations still cannot.

Most delivery systems were designed around human operators. When agents enter that model, context fragments, approvals become ambiguous, and evidence arrives after the fact.

KGV makes governance part of execution—not a layer added when the work is done.

One governed lifecycle

From intent to evidence,
without losing the thread.

KGV gives every agent a shared operating model and every supervisor a clear line of sight.

  1. 01

    Define intent

    Genesis captures the outcome, constraints, and business reason before implementation begins.

    GENESIS
  2. 02

    Govern the work

    Protocols shape the ticket, completion criteria, risk, rollback, and required gates.

    TICKETS + EGP
  3. 03

    Execute with context

    Agents work in claimed sessions with the right state, tools, instructions, and handoffs.

    SESSIONS + ORBIT
  4. 04

    Prove and approve

    TRACE and SCRIBE connect changes to evidence, while humans retain explicit approval authority.

    TRACE + SCRIBE

An operating system for agentic work

Control plane, memory,
and proof in one system.

Lifecycle governance

TRACE makes every transition accountable.

Work moves through explicit states with protocol checks, evidence requirements, and human gates built into the path.

Operational awareness

COMPASS

A current view of system state, work posture, and what needs attention next.

Resource registry

ORBIT

Configuration and resources stay discoverable, governed, and connected to the work using them.

Agent interface

MCP + CLI

A native operational surface for agents—not a human dashboard awkwardly automated after the fact.

Evidence system

SCRIBE

Decisions, actions, checks, and outcomes become reviewable evidence instead of scattered logs.

Durable organizational memory

State that survives the session.

PostgreSQL, vector search, and a knowledge graph keep requirements, execution history, and relationships available to the next agent.

Designed for real delivery systems

Meet agents where they already work.

KGV presents the same governed operating model across agent clients, command-line workflows, automation, and the web control plane.

  • ✓Shared lifecycle and approval semantics
  • ✓Explicit work claims and session continuity
  • ✓Traceable changes across tools and environments
  • ✓Human authority at consequential gates
CodexClaude CodeCursorCLI
Governed agent interface
KGV control planePolicy · State · Context · Evidence
Connected delivery systems
SourceCI/CDCloudData

The division of responsibility

Agents operate.
Humans supervise.

Autonomy should expand execution capacity—not blur accountability. KGV keeps authority explicit while giving agents the context and tools to move work forward.

Agents
  • Claim and execute work
  • Maintain operational state
  • Collect verification evidence
  • Prepare governed handoffs
Humans
  • Set direction and constraints
  • Review consequential decisions
  • Approve controlled transitions
  • Retain final authority

Explore the product

Build the operating layer
your agents are missing.

Step inside the active KGV developer environment.

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