The platform umbrella for persistent agents, bounded worlds, and private product evaluation.
HEAVEN
A deterministic platform for persistent cognitive digital twins.
HEAVEN is a private platform for persistent cognitive digital agents. EDEN is its first bounded demo world, where deterministic runtime, memory, and replay keep behavior inspectable over time.
- 01 Platform
- HEAVEN platform
- 02 First world
- EDEN validation world
- 03 Runtime
- heaven-engine
- 04 Evidence
- Memory + replay infrastructure
EDEN
First bounded demo world for validating persistent agents, continuity, and replayable inspection.
Validation worldArchitecture
Deterministic runtime, platform hierarchy, and engine structure behind HEAVEN.
RuntimeMemory
Provenance, continuity, canonical memory, and replayable context.
ContinuityTrace
Event logs, decision traces, and inspectable runtime artifacts.
EvidenceBoundaries
What HEAVEN is, what it is not, and why the scope remains controlled.
ScopeUse Cases
Research, cognitive twin prototyping, and audit-oriented simulation.
ApplicationsResearch
The theoretical foundation behind persistence, bounded deliberation, and runtime design.
FoundationsAccess
Private review, partnership, and strategic inquiry channels.
Private accessHEAVEN
HEAVEN is the product platform for persistent cognitive digital agents in bounded, deterministic worlds. EDEN makes that platform visible, heaven-engine runs it, and memory and replay make behavior inspectable across time.
The first bounded demo world for validating continuity, causal traceability, and replayable behavior.
The deterministic runtime for ticks, state transitions, reproducible execution, and world artifacts.
The continuity and inspection infrastructure for provenance, review, and long-running agent context.
- Deterministic runtimeControlled ticks, state transitions, and reproducible execution make world behavior replayable instead of opaque.
- Structured memorySource artifacts, provenance, canonical memory, and access views preserve what the platform should remember.
- Traceable behaviorDecision traces, event logs, replay, and inspection keep outcomes tied to the conditions that produced them.
EDEN
EDEN is the first bounded demo world for HEAVEN: a controlled validation environment for persistent agents, causal traceability, memory continuity, and replayable behavior.
- t+001 Agent enters EDEN with a bounded identity trace.
- t+042 Memory provenance links action, place, and resulting state.
- replay Replay reconstructs the sequence as an inspectable continuity record.
- EDENThe first bounded demo world for validating persistent agents without implying a standalone product or public sandbox.
- Validation surfaceMovement, memory, and outcomes stay visible enough to inspect how the platform behaves over time.
- Causal continuityState carries forward so behavior remains cumulative, traceable, replayable, and reviewable.
How EDEN validates persistence
EDEN is a bounded demo world for validating persistent agents in motion: state changes become events, events can become memory, decisions remain traceable, and replay reconstructs behavior for inspection.
-
Tick 014
Movement starts in the world
An agent crosses named zones inside a bounded map, so behavior begins from a visible place, state, and moment.
-
Tick 015
Each action becomes an event
A movement, interaction, or change in state is captured as a deterministic event instead of disappearing into a session.
-
Tick 016
Events can form memory
Relevant events become durable memory with provenance, linking what happened to world conditions and later behavior.
-
Tick 017
Decisions remain traceable
A structured decision record preserves the context, memory inputs, and resulting choice behind the next action.
-
Replay
Behavior can be inspected
Replay reconstructs what happened, making the event log, memory formation, and decision path available for inspection.
HEAVEN is / is not
HEAVEN is a private product and research platform for persistent cognitive digital twins, deterministic simulation, traceable behavior, memory continuity, and replayable state.
Its positioning remains product and systems-oriented. It is not consumer grief-tech, a claim about restoring a person or transferring personhood into software, a generic chatbot wrapper, or an open-ended virtual world.
Not positioned as
- Consumer grief-tech or any product framed around restoring a person or indefinite personal continuation
- Generic chatbot or LLM wrapper without bounded runtime, provenance, deterministic simulation, and replay
- Public sandbox, open-ended virtual world, or game environment
Built for
- Private product and research platform for persistent cognitive digital twins in bounded validation worlds
- Deterministic simulation, traceable behavior, structured memory, and replayable inspection artifacts
- Selected technical review, research partnership, and enterprise R&D evaluation
Platform architecture
heaven-engine is the deterministic runtime underneath the HEAVEN platform: controlled ticks, reproducible state transitions, structured artifacts, and replayable execution.
- Deterministic runtimeWorld state advances through controlled ticks and reproducible transitions instead of opaque session drift.
- State artifactsRuntime records preserve what changed, when it changed, and which systems shaped the result.
- Replayable tracesExecution can be reconstructed for inspection rather than treated as a black box.
Replayable tick artifact
{
"tick": 148,
"world": "eden.archive",
"agent_id": "agent.03",
"event": "threshold_crossed",
"transition_path": "archive.threshold.enter",
"provenance": "world.archive.threshold",
"memory_candidate": true,
"replayable": true
}
Trace
Trace is where HEAVEN exposes event logs, decision paths, and replayable runtime artifacts so persistent behavior can be inspected instead of inferred.
Decision trace excerpt
{
"tick": 150,
"agent_id": "agent.03",
"decision": "archive_return",
"memory_inputs": ["world.archive.scan", "threshold.crossed"],
"runtime_trace": "decision.archive.return",
"replayable": true
}
Audit surface
Event provenance, decision context, and resulting state remain attached to runtime artifacts so review stays tied to evidence.
Memory
Memory is the continuity layer that turns source events, interactions, and outcomes into durable context for persistent cognitive agents.
- Source artifactsMemories stay connected to the events, world state, and provenance that produced them.
- Canonical memoryStructured records preserve continuity over time without making metaphysical claims about identity.
- Access viewsShared memory can be inspected through product, runtime, and review surfaces without losing source linkage.
Memory provenance snippet
{
"tick": 149,
"world": "eden.archive",
"agent_id": "agent.03",
"event": "archive_scan",
"transition_path": "memory.review.queue",
"provenance": "world.archive.scan",
"memory_candidate": true,
"replayable": true
}
Use Cases
HEAVEN is built for applications where long-term agent continuity, bounded simulation, and traceable evaluation matter more than spectacle.
- Autonomous agent researchFor labs and technical teams evaluating persistent agents, decision traces, memory behavior, and multi-agent dynamics inside bounded deterministic worlds.
- Cognitive digital twin prototypingFor teams building persistent behavioral models that accumulate memory, evolve across time, and remain inspectable through replayable state transitions.
- Simulation & audit toolingFor teams needing reproducible behavior, structured event logs, and explainable decision traces instead of opaque one-shot AI outputs.
Research foundations
Behind the platform is an internal research program covering memory, movement, decision, logic, and bounded metacognitive depth. It informs the system, but the public narrative stays focused on platform behavior, validation, and inspection.
- Internal modelsFoundational work on memory, movement, decision, and reflective depth shapes the platform architecture.
- Architecture notesWorking research documentation connects theory, runtime design, and product validation.
- Validation protocolsConstraint and logic work supports inspectable agent action inside bounded worlds.