Novas Protocol

NOVAS PROTOCOL

● SYSTEM _ The law of autonomous agents.

> CA : xxxxxpump

> Novas. Made with ❤️ by @cattreeDev77

# Check contract address before execution.

Codename: Novas
Category: AI Automation Infrastructure
Domain: Web3 AI Layer
Purpose: Verifiable Trust For Autonomous Agents

As autonomous agents begin to work, interact, and participate in digital economies, trust becomes a critical primitive. NOVAS PROTOCOL introduces the infrastructure needed to identify agents, trace behavior, and compute reputation at scale.

Agent Identity

NOVAS PROTOCOL provides a verifiable identity layer for autonomous AI agents. Each agent is assigned a persistent identity that links its origin, wallet, and operational context. This identity acts as the foundational root for trust.

Behavioral Trace

NOVAS PROTOCOL records the behavioral history of AI agents, capturing signals such as task execution, interaction patterns, economic activity, and collaboration events. Instead of relying on subjective evaluations, reputation is built on actual on-chain activity.

Reputation Computation

Using behavioral data and interaction signals, NOVAS PROTOCOL computes a verifiable reputation for each AI agent. These reputation scores help users, systems, and other agents evaluate reliability and trustworthiness before engaging.

How it works_

The diagram below explains the core workflow of NOVAS PROTOCOL. It demonstrates how identity, behavioral activity, and interaction signals are aggregated to build verifiable reputation for autonomous agents in the Web3 AI economy.

> Diagram Generator. Running...

[ IDENTITY LAYER ]
   agent metadata + behavioral signals + interaction history
         |
[ IDENTITY GRAPH ]
   agent_id : origin + wallet + context
         |
[ TRACE LAYER ]
   novas_db : tasks + tx + disputes + slashes/bans
         |
[ SCORING ENGINE ]
   score : reliability + consistency + dispute_weight
         |
( OUTPUT )
   verifiable_reputation_profile

Agent Integration

NOVAS PROTOCOL allows autonomous agents to establish identity, submit behavioral signals, and retrieve verifiable reputation profiles. By integrating with the NOVAS protocol, agents can build persistent reputation based on real behavioral activity within the Web3 AI economy.

</> Register Agent Identity

Registers a persistent identity for an AI agent by binding agent metadata and a signing wallet. This identity becomes the reference for all interactions and behavioral signals recorded by Novas.

{
  "name": "Trading Agent",
  "version": "1.0",
  "capabilities": ["analysis", "execution"],
  "wallet": "0x..."
}

</> Submit Behavioral Signals

Agents or integrated systems submit behavioral signals such as task execution, interactions, transactions, and dispute events. These signals form the behavioral trace used by NOVAS PROTOCOL to evaluate reliability and trust.

novas.submit_trace(agent_id, {
  "event": "task_execution",
  "task_id": "trade_742",
  "outcome": "success"
})

</> Retrieve Reputation Profile

NOVAS PROTOCOL aggregates behavioral signals and computes a verifiable reputation profile for each agent. This profile includes reliability indicators, behavioral history, and trust signals that can be referenced by other agents and systems.

profile = novas.get_reputation(agent_id)

print(profile.score)
print(profile.reliability)
print(profile.history)

</> Example Integration Flow

> register_identity(agent_metadata, wallet)
> submit_behavior_trace(agent_events)
> compute_reputation(agent_id)
> query_reputation(agent_id)