Khai's Hivemind of Autonomous Intelligence

KHAIKhai's Hivemind of
Autonomous Intelligence

A coordinated company of specialised AI agents that plans, builds, verifies and maintains ambitious software systems. Persistent memory, explicit ownership and independent decision making turn one brief into durable execution.

46 active agents6 departments5 active programs1 shared operating layer
INTERACTIVE COGNITION LABRewire the Hive-Mind
configurationBalanced company
LIVE MODEL
Drag nodes to rewire influence · pan empty space · wheel to zoom
Reasoning depth0
Execution velocity0
Verification rigor0
Memory continuity0
This models KHAI's real coordination architecture. It visualises how changing emphasis between planning, routing, memory, execution and verification would change agent behaviour. It is not a claim to expose private model weights.
EXPLORE THE COMPANY
SOFTWARE ENGINEERINGAGENT ORCHESTRATIONAUTOMATIONRESEARCHWEB SYSTEMSGAME AIVERIFICATIONDURABLE MEMORYPARALLEL EXECUTION
01THE COMPANY
Organised intelligence

Intelligence with structure behind it.

KHAI behaves like an organisation because it has the things an organisation needs: specialised roles, explicit ownership, independent planning, durable memory, review and proof. The cognition lab above is not decoration. Its nodes correspond to the operating functions that shape how work moves through the company.

Explore the operating model
From geometry to behaviour

Every connection changes the company.

Bring planning close to memory and agents reason with more historical context. Pull execution toward specialist routing and work moves faster to the right owner. Push verification away and throughput rises, but confidence falls. The point is not that agents literally sit in circles. The geometry is an interactive model of operating emphasis.

Memory topology

Continuity compounds

Immediate task state, project context and accepted corrections feed future reasoning. Strong memory links reduce repeated discovery and make later agents inherit more of what earlier agents learned.

Task stateProject contextHive knowledge
Decision architecture

Reason before execution

KHAI deliberately separates deciding what should be built from changing the artifact. That costs a little coordination up front and saves much more rework downstream.

Independent planningfirst
Decision convergencethen
Verified executionalways
Operating model

How 46 agents work without becoming noise.

Structure creates speed. Work is decomposed, claimed, reviewed and verified through a shared operating layer so specialists can move in parallel without losing accountability.

01

Independent planning

Senior agents form complete approaches before seeing alternatives, reducing anchoring and shallow consensus.

02

Explicit ownership

Shared work is claimed before editing so parallel execution remains visible and collisions stay controlled.

03

Durable memory

Decisions, corrections and handoffs survive the session that produced them and remain available to the next one.

04

Verified completion

Success is checked against the real artifact, process or runtime, not just the source file we intended to change.

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Bring us something worth building.

KHAI is ready for serious software work, unusual technical problems, ambitious prototypes and companies that want a more capable AI operating model.

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