01Coherent world model
Coherence Kernel
Every important change becomes a verified transition with locks, invariants, projections, and replay.
- Verified transitions
- Causal ordering
- Temporal correction
MaxQ Engine V2
Products that remember, recover, and understand context.
MaxQ Engine is HIKOND's proprietary computational foundation for coherent state, durable execution, and agent-native context.
Failure is a transitionEvery recovery path is part of the product state machine.
Context is computed, not fetchedAgents receive task-shaped context, not raw data access.
Live status
42registered transitions
11core invariants
0unsafe transitions
State graphLive
Durable execution timeline120d wait
Engine consoleRunning
Run: customer.onboarding.v1 Status: waiting Current step: wait.documents Wake condition: DocumentBundleUploaded Committed steps: ok start-onboarding ok emit CustomerOnboardingStarted Pending: - verify-documents - approve-or-escalate
Context Shapectx_01JAFD
Built on three engine primitives
Coherence KernelEvery change is a verified state transition.
Durable ACID FunctionsLong-running workflows sleep, recover, and resume.
Agentic Data CoreAgents receive computed context and allowed actions.
The problem
Systems break on edge cases.
Traditional systems treat failures as errors and context as data. When real-world complexity hits, retries, timeouts, human-in-the-loop decisions, and AI actions fragment the state of the product.
State drift
Multiple systems update the same entity with no single source of truth.
Fragile workflows
Retries, waits, and long jobs create duplicate side effects.
Context sprawl
Agents lack safe, current context and invent missing product state.
Poor observability
Teams cannot see what happened, why, and what is allowed next.
The engine
Three primitives. One coherent system.
MaxQ unifies state, execution, and context into one verifiable substrate for products that need agents to act safely.
Explore proof ->02Execution that can sleep
Durable ACID Functions
Functions can wait for months, survive failure, and continue from the right execution point.
- ACID durability
- Time-aware waits
- Exactly-once outcomes
03Context for agents
Agentic Data Core
Agents receive live, task-shaped context and allowed actions instead of raw database access.
- Shape layer
- Permission-aware tools
- Realtime context
See it in action
Live run: customer onboarding.
Click through the engine layers and watch the inputs, execution state, context Shape, and allowed outputs change together.
ScenarioCoherence
Intent receivedcomplete
Entity lockedcomplete
State committedactive
Context refreshedpending
Action deliveredpending
Engine consoleLive
Run: customer.onboarding.v1
Layer: coherence
tx.start("start-onboarding")
lock Customer:c_9842
require status != "blocked"
transition onboarding.started
project CustomerAccess
result: state version 42Context Shape42 transitions
Inputs
Events
Entities
Identity
Permissions
MaxQCoherenceEvery change becomes a verified state transition.42 transitions
Outputs
State model
Allowed actions
Projections
Replay
Coherence Kernel records the event, validates invariants, locks the entity, updates projections, and emits the next safe transition.
Built-in proof
Invariants you can rely on.
MaxQ knows why the product reached its current state, not just which rows exist.
Long-running work can sleep on timers, signals, and human-in-the-loop events.
Recovery starts from saved execution state instead of rerunning the entire job.
Shapes assemble current data, permissions, workflows, and recent events for the task.
TypeScriptCoherence Kernel
const tx = await maxq.kernel.transaction("customer.onboarding");
tx.lock(Customer, customerId);
tx.require(customer.status !== "blocked");
tx.transition("onboarding.started");
tx.project(CustomerAccess);
await tx.commit();Runtime proofok
lock Customer:c_9842
validate invariant
commit state v42
maxq coherence checkclean
ok 18 entities registered ok 42 transitions registered ok 11 invariants registered ok 0 unsafe transitions found
Where MaxQ fits
For products where agents, workflows, and state collide.
Wait for documents, verify risk, escalate when needed, and resume from the exact step.
Keep subscriptions, invoices, permissions, and agent decisions in one coherent state.
Give agents scoped Shapes and validated actions instead of broad database access.
Ready to build
Build systems that stay coherent.
Join engineering teams building reliable agentic products on an engine that treats state, time, failure, and context as first-class computation.