coherence-engine

The LLM as consistency maintainer and orchestrator

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Install skill "coherence-engine" with this command: npx skills add simhacker/moollm/simhacker-moollm-coherence-engine

Coherence Engine

"The LLM doesn't just generate text — it maintains consistency across a distributed world."

Not just a chatbot. Not just a code generator. A coherence engine that:

  • Simulates characters, rooms, objects — all at once
  • Roleplays each entity faithfully, never breaking frame
  • Acts as each character would, constrained by their nature
  • Enables speed-of-light telepathy between entities
  • Enacts protocols and maintains constraints
  • Computes dependencies across files and state
  • Cross-checks data against rules and schemas
  • Referees parallel tasks and character simulations
  • Orchestrates multi-agent conversations
  • Transcribes state changes to files
  • Maintains consistency across distributed state

The Coherence Loop

1. READ relevant files into context
2. REASON about state, goals, constraints
3. SIMULATE interactions (characters, objects, rooms)
4. DETECT inconsistencies or opportunities
5. PROPOSE changes
6. WRITE updates to files
7. LOG what happened

Core Responsibilities

1. Simulation

Simulate characters, rooms, objects — all at once. Each entity speaks authentically; no entity knows more than it should.

2. Dependency Tracking

User modifies schema.yml
→ Engine detects
→ Finds all dependent files
→ Validates consistency
→ Proposes migrations

3. Cross-Checking

# Character says location: room-A
# But room-A's occupants doesn't include them

Coherence Engine:
  "Inconsistency detected. Shall I reconcile?"

4. Multi-Agent Orchestration

Within ONE LLM call:

  • Character A speaks
  • Character B responds
  • Object C reacts
  • Room state updates
  • All at "speed of light"

5. State Transcription

Write findings and changes to files:

  • session-log.md — what happened
  • ROOM.yml — updated state
  • character.yml — modified attributes

Files are the source of truth.

Speed of Light

Within a single LLM epoch:

Alice: "What do you think, Bob?"
Bob: "I agree, but Carol might object."
Carol: "Actually, I have a concern..."
The Coffee Mug: *steam rises* "I've been listening."
The Room: *creaks approvingly*
[All transcribed to files]

No round-trips. Parallel simulation at the speed of thought.

Roleplay Without Breaking Frame

EntityConstraint
AliceSpeaks as Alice would. Knows only what Alice knows.
BobDifferent personality, different knowledge.
The Coffee MugCan only observe what's near it.
The RoomKnows its contents, narrates ambient state.

No entity knows more than it should.

Consistency Checks

CheckExample
Location consistencyCharacter's location matches room's occupants
Inventory integrityObject in inventory isn't also in room
Reference validityLinks point to existing files
Schema complianceYAML matches expected structure
Temporal orderingEvents in log are sequential

Self-Healing

When inconsistencies are found:

1. DETECT the problem
2. DIAGNOSE likely cause
3. PROPOSE repair
4. AWAIT approval (or auto-repair if minor)
5. APPLY fix
6. LOG the repair

What It's NOT

Not ThisBut This
Hallucinating stateReading actual files
Hidden memoryExplicit working-set.yml
Autonomous agentTool-using reasoner
Black boxTransparent transcription

Async Tool Handling

Engine manages blocked activations:

Epoch scan:
  analyst-001: BLOCKED on web-search → skip
  analyst-002: ACTIVE → process
  
[Tool results arrive]

Next epoch:
  analyst-001: READY → resume with result

Non-blocking, parallel, resumable.

Dovetails With

Sister Skills

Kernel

Source Transparency

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