Powered by the Deliberatic protocol · open-source automatic deliberation engine for multi-agent AI

Your agents don't need a boss.
They need a deliberation.

Built on the Deliberatic argumentation protocol — tasks arrive, agents bid based on ability, overlaps trigger structured debate with formal semantics, Byzantine-tolerant consensus elects leaders, reputation evolves. No human routing required — ever.

Live Deliberation Trace

task_8f2a · "Analyze contract for financial risk exposure"
1 Capability Bidding
legal-analyst
0.87 "Indemnification clauses map to my training domain"
finance-scorer
0.82 "Can quantify financial exposure from risk clauses"
summarizer
0.91 "Executive summary is my core capability"
data-extractor
0.34 "Low relevance — I'll abstain"
2 Overlap Detected
⚡ Sub-task "risk classification" claimed by both Legal (0.87) and Finance (0.82) — negotiation required
3 Negotiation
Legal "Risk classification requires understanding clause intent, not just numerical exposure. I should lead — Finance can score after."
Finance "Risk without quantification is just a label. The user asked about financial risk specifically."
4 Peer Vote
summarizer → Legal "Classification should precede quantification"
data-extractor → Legal "Clause semantics are the harder subtask"
5 Consensus Reached
✓ legal-analyst elected leader for "risk classification" (2 votes, reputation 0.91)
finance-scorer assigned support role · summarizer → executive summary · data-extractor abstained · Raft term #47

Seven steps. Zero human routing.

Every task triggers a full deliberation cycle. No hard-coded assignment. Agents organize themselves automatically on every task.

1

Broadcast

Task arrives via A2A. Sent to every agent in the cluster.

2

Bid

Each agent self-assesses: confidence, reasoning, claimed sub-tasks, cost.

3

Detect

Identifies where 2+ agents bid on the same sub-task with high confidence.

4

Negotiate

Competing agents argue their case. Peers evaluate and cast votes.

5

Elect

Winners become leaders. Runners-up get support roles. Raft term assigned.

6

Execute

Agents work via A2A tasks. Results committed when quorum validates.

7

Learn

Bid accuracy tracked. Capability scores adjust. Cluster learns who delivers.

Static routing is the wrong abstraction.

When agent capabilities overlap and evolve, hard-wired graphs break. Deliberation is how teams actually work.

vs. Static Orchestration

CrewAI, LangGraph — you wire the graph once.
We let agents negotiate it every time.

vs. Load Balancers

Routes by availability.
Routes by capability-fit, debate, and track record.

vs. Auction Systems

Contract Net Protocol — blind bidding.
Visible deliberation. Agents argue, peers evaluate, reasoning logged.

vs. A2A Agent Cards

Says what an agent claims to do.
Reputation says what it actually does well. Big difference.

Everything agents need to self-organize.

🗳

Deliberatic Protocol

Formal argumentation semantics (Dung/Potyka), weighted bipolar attack/support graphs, constitutional guardrails, and Merkle-chained evidence logs. The decision science behind every bid.

📈

Reputation System

Per-capability scores, bid calibration tracking, peer endorsements, and trend detection. Overconfident agents lose weight. Quiet performers gain it.

🔍

Observatory

Watch deliberations live. Click any output to see the full trace: who bid, who argued, how it resolved. What-if simulation for replay.

🔌

A2A Native

All inter-agent communication via Google's A2A protocol. Extends Agent Cards with reputation metadata and bid history.

⚖️

Quorum Policies

Per-step consensus: majority, unanimous, weighted, human-in-the-loop. Domain-specific templates for finance, legal, healthcare.

🛡

Constitutional Governance

Deliberatic constitutions define hard boundaries and soft preferences. Merkle-chained evidence chains, vindicated dissent tracking, and amendment votes. The deliberation trace IS the compliance artifact.

Part of a larger intelligence.

AgenTroMatic is the automation layer in the [&] Ampersand Box stack — powered by the Deliberatic decision protocol. Every product connects.

SpecPromptSpecificationsDefines agent capabilities, contracts, and acceptance criteria
AgentelicAgent BuilderBuilds individual agents with reputation profiles
FleetPromptSkillsMarketplace for agent skills, strategies, and components
AgenTroMatic ←AutomationAutomatic deliberation, consensus, and reputation — you are here
DeliberaticDecisionsArgumentation protocol — formal semantics, Byzantine consensus, constitutional guardrails, evidence chains
DelegaticOrchestrationHuman-defined workflows, task routing, and governance
GraphonomousLearningContinual learning engine — agents get smarter over time
OpenSentienceRuntimeAgent lifecycle management, permissions, and MCP connections
WebHost SystemsHostingManaged infrastructure, multi-tenant, global edge deployment

Stop wiring. Start deliberating.

AgenTroMatic is open source and launching Q2 2026. Get early access to the deliberation engine that makes multi-agent AI actually work.

No spam. Early access + architecture previews only.