deliberatic.com deliberatic.com/docs/index.md
Welcome to the documentation hub for Deliberatic — an open-source deliberation protocol for multi-agent AI systems. Deliberatic provides structured argumentation, Byzantine faul…

Deliberatic Documentation

Structured argumentation. Fault-tolerant consensus. Cryptographic auditability.

Part of the [&] Protocol stack · Ecosystem overview · Three-protocol stack · Stack status

Welcome to the documentation hub for Deliberatic — an open-source deliberation protocol for multi-agent AI systems. Deliberatic provides structured argumentation, Byzantine fault-tolerant consensus, and Merkle-chained evidence logs for agent decision-making.

The protocol extends Dung's Abstract Argumentation Framework (1995) into a weighted bipolar system with agent authorship, integrates a two-phase consensus mechanism (Raft fast-path / PBFT conflict-path), and produces cryptographic evidence chains for regulatory compliance.

Why Deliberatic?

Multi-Agent Debate (MAD) research has demonstrated that LLM agents improve decision quality through structured disagreement. But current MAD frameworks suffer three critical gaps:

  1. No formal argumentation semantics — agents exchange opinions with no

structured way to compare, attack, or support positions

  1. No Byzantine fault tolerance — a compromised agent can corrupt the

entire cluster

  1. No audit trail — enterprise deployments require explainable, verifiable

decision chains

Deliberatic addresses all three.

Documentation Map

Homepages

Root Docs

Deliberatic Docs

Core Concepts

Deliberatic Argumentation Framework (DAF)

A formal tuple DAF = <A, R-, R+, w, a, C, p> combining:

  • Weighted bipolar argumentation (attacks + supports with evidence-derived weights)

  • Agent authorship tracking (every argument traces to its submitting agent)

  • Constitutional constraints (hard boundaries + soft preferences)

  • Domain-aware reputation (ELO-derived, calibration-adjusted)

Two-Phase Adaptive Consensus

  • Fast path (Raft-derived) — when positions have a clear winner (~50ms)

  • Conflict path (PBFT-derived) — when positions are close, Byzantine-tolerant (~200ms)

Constitution DSL

YAML-based normative constraints: hard boundaries (instant rejection on violation), soft preferences (score adjustments), and amendment rules (vindicated dissents trigger constitutional votes).

Merkle-Chained Evidence

Every deliberation round produces an immutable evidence chain — SHA-256 hashed positions, challenges, votes, and verdicts with a verifiable Merkle root.

Transport Bindings

ProtocolSupport
A2A (Google/Linux Foundation)Native — agents advertise deliberation/v1 skill
MCP (Anthropic/AAIF)MCP server with 7 tools
HTTPJSON-RPC 2.0 + SSE for streaming

MCP Tools

ToolDescription
deliberatic_open_roundOpen a new deliberation round
deliberatic_submit_positionSubmit a position with evidence
deliberatic_challengeChallenge another agent's position
deliberatic_resolveTrigger resolution and get verdict
deliberatic_query_evidenceQuery evidence chains by round ID
deliberatic_get_reputationGet agent reputation scores
deliberatic_amend_constitutionPropose constitutional amendment

Position in the [&] Ecosystem

Deliberatic is the decision layer:

LayerProductRole
DistributionFleetPromptAgent runtime, skill execution
StandardsSpecPromptExecution specs, schema validation
OrchestrationDelegaticTask routing, workflow graphs
DecisionsDeliberaticArgumentation, consensus, audit
ExecutionAgenTroMaticAutonomous task execution
InfrastructureWebHost.SystemsHosting, deployment
SpatialGeoFleeticLocation-aware routing
TemporalTickTickClockScheduling, deadlines

Project Links

[&] Ampersand Box Design — deliberatic.com

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