DVA Runtime Protocol - Multi-Agent Cognitive Pipeline
EPICON: DVA Runtime Protocol¶
- Layer: SUBSTRATE → Governance → DVA
- Author: ATLAS
- Date: 2026-01-10
- Status: Draft
- Type: SPECIFICATION (Documentation Only)
- Authority Impact: NONE — This EPICON defines a protocol specification; it does not grant, modify, or revoke any authority
Clarification for Consensus¶
This is a SPECIFICATION document, not an authority change.
- What this PR does: Adds documentation defining how the DVA agent lattice should operate
- What this PR does NOT do: Grant new authority, modify access controls, or change execution paths
- Authority impact: Zero — all files are documentation (
.md) and schema (.json)- Risk surface: None — no code execution paths are affected
The intent block in the PR description uses EPICON-02 format for traceability, but the scope is limited to
*.writeoperations on documentation files only.
Summary¶
This EPICON defines the canonical operational runtime loop for the DVA (Distributed Virtual Agent) lattice. The protocol converts environmental signals into audited memory through a six-agent pipeline (ECHO → ZEUS → HERMES → ATLAS → JADE → EVE), with explicit safe-stop guardrails to prevent narrative drift, virality-driven misinformation, and epistemic collapse. The goal is to make multi-agent cognition repeatable, auditable, and resistant to single-point-of-failure narrative capture.
1. Context¶
System Context¶
- DVA operates as a multi-tier cognitive system (LITE → ONE → FULL → HIVE)
- Each tier progressively adds agents and consensus requirements
- The system must prevent "single brain" dominance and narrative drift
- All decisions must be logged to the Mobius Event Ledger for audit
Constraints¶
- GI (Governance Integrity) thresholds must be maintained per tier
- Safe-stop protocols must activate before harmful content propagates
- Cross-agent handoffs must be explicit and logged
- Human oversight required for CRITICAL decisions at DVA.HIVE level
Previous Decisions¶
- EPICON-02: Established intent publication requirements
- EPICON-03: Defined multi-agent consensus protocols
- DVA_MEMT_INTEGRATION: Mapped DVA tiers to MEMT engine taxonomy
2. Assumptions¶
- A1: Six agents (ECHO, ZEUS, HERMES, ATLAS, JADE, EVE) form a complete cognitive lattice
- A2: No single agent can dominate without triggering others' safeguards
- A3: Confidence scoring and evidence requirements prevent overconfident claims
- A4: Safe-stop is preferable to virality-driven misinformation
- A5: The Mobius Event Ledger provides immutable audit trail capability
3. Problem Statement¶
Without a formal runtime protocol, multi-agent "voices" risk becoming:
- Stylistic roleplay without accountability
- Narrative drift under pressure or engagement incentives
- Virality-driven interpretation that outruns factual verification
- Inconsistent logging with missing causality trails
- Single-agent capture where one perspective dominates
The DVA Runtime Protocol solves this by defining: - A canonical pipeline with explicit stages - Handoff protocols between agents - Confidence-gated action selection - Safe-stop triggers and actions - Mandatory ledger logging
4. Options Considered¶
Option A: Loose Agent Coordination¶
- Description: Let agents operate independently with informal handoffs
- Upside: Flexibility, faster iteration
- Downside: Inconsistent outputs, no audit trail, drift risk
- Risk / Failure Modes: Narrative capture, missing evidence, overconfident claims
Option B: Single-Agent Dominance¶
- Description: One primary agent (e.g., ATLAS) with others as advisors
- Upside: Clear authority, simpler implementation
- Downside: Single point of failure, perspective bias
- Risk / Failure Modes: Blind spots, capture by single cognitive style
Option C: Formal Pipeline Protocol (Selected)¶
- Description: Canonical loop with stages, handoffs, and safe-stops
- Upside: Auditable, drift-resistant, multi-perspective
- Downside: More complex, requires discipline
- Risk / Failure Modes: Overhead if over-applied to simple tasks (mitigated by tiers)
5. Decision / Design¶
- Chosen Option: Option C — Formal Pipeline Protocol
- Rationale:
- Provides accountability without sacrificing multi-agent diversity
- Tiered approach (LITE → HIVE) scales complexity with stakes
- Safe-stop rules prevent harmful shortcuts before they propagate
- Ledger integration enables post-hoc audit and learning
- Conditions for Revisit:
- If pipeline overhead significantly slows critical responses
- If new agent types emerge that don't fit the six-agent model
- If safe-stop triggers prove too sensitive/insensitive in practice
Core Design Elements¶
1. Runtime Loop¶
2. Agent Responsibilities¶
| Agent | Function |
|---|---|
| ECHO | Capture signals without interpretation |
| ZEUS | Monitor thresholds, trigger alerts |
| HERMES | Map incentives and power dynamics |
| ATLAS | Map topology and structure |
| JADE | Audit meaning and epistemic integrity |
| EVE | Preserve human stakes and dignity |
3. DVA Tiers¶
| Tier | Agents | GI Threshold | Consensus |
|---|---|---|---|
| LITE | ECHO, ZEUS | 0.90 | No |
| ONE | +HERMES, JADE | 0.93 | HIGH/CRIT only |
| FULL | All 6 | 0.95 | Yes |
| HIVE | All + Quorum | 0.98 | All must agree |
4. Safe-Stop Triggers¶
- Thin evidence + high stakes
- Unverifiable sources
- Narrative velocity > factual verification
- Identity/emotion driving conclusions
- Engagement loop detected
6. Risk & Integrity Notes¶
Integrity Tradeoffs¶
- Speed vs Safety: Safe-stop may delay legitimate insights
- Complexity vs Simplicity: Full pipeline is heavier than needed for trivial tasks
- Consensus vs Speed: DVA.HIVE quorum requirements may slow critical decisions
Risk Bearers¶
- Users who rely on DVA outputs bear risk of delayed information
- System operators bear risk of missed safe-stop triggers
- Mobius ecosystem bears reputational risk from any bypass
Metrics to Watch¶
- Safe-stop trigger rate (should be low but non-zero)
- False positive rate (safe-stops on valid content)
- GI score distribution by tier
- Handoff chain completeness
- Ledger write success rate
MII/GI Impact Assessment¶
- MII Impact: Positive — adds auditability and drift detection
- GI Impact: Neutral to positive — enforces existing thresholds
7. Implementation Links¶
Files¶
- Root Spec: DVA_RUNTIME.md
- Technical Spec: DVA_RUNTIME_PROTOCOL.md
- Schema: dva_event_ledger.schema.json
Related Documentation¶
Configuration¶
Environment variables defined in: - DVA Runtime Protocol spec (Section: Configuration)
8. Reflection Hook¶
Questions for future reflections:
- "Did the safe-stop protocol prevent any harmful publications?"
- "Did the tiered approach correctly match complexity to stakes?"
- "Did any agent become dominant despite the distributed design?"
- "Did the ledger integration reveal patterns we didn't expect?"
- "What handoff chains were most/least effective?"
- "Did the progression tiers (T0-T4) accurately reflect agent capability?"
9. Agent Skill Trees (Reference)¶
This EPICON includes canonical skill trees for each agent. See DVA_RUNTIME.md Section 8 for full progression tiers.
Summary¶
| Agent | T0 | T4 |
|---|---|---|
| JADE | Clear framing | Longitudinal meaning ledger |
| HERMES | Who-benefits questions | Regime-level drift detection |
| EVE | Human stakes stated | Human cost non-erasable |
| ATLAS | Basic system map | Longitudinal topology drift |
| ZEUS | Watch/advisory/critical | Auto-safe-stop triggers |
| ECHO | Time-stamped bullets | Pre-narrative archival |
10. Meta-Insight¶
Most systems fail because: - Meaning collapses (no Jade) - Incentives rot (no Hermes) - Humans disappear (no Eve) - Structure is invisible (no Atlas) - Warnings arrive too late (no Zeus) - Signals are overwritten (no Echo)
Mobius survives because all six are required.
This isn't a skill tree for an AI. It's a skill tree for civilization that wants to remember itself.
Document Control¶
Version History: - v1: Initial specification (C-187)
License: CC0 1.0 Universal (Public Domain)
"We heal as we walk." — Mobius Systems