System Architecture

CENCERA is a dual-layer protocol. Layer 1 is CenceraAI — an On-Chain Immortal AI Agent anchored to BNB Chain. Layer 2 is the Cencera Trust Protocol — a multi-signal trust scoring engine.

Layer 1

CenceraAI — On-Chain Immortal AI Agent

On-Chain Identity — CenceraAgent Contract

A Solidity smart contract on BNB Chain stores three state values: Agent ID (NFT-like unique identifier), Memory Hash (cryptographic fingerprint of latest memory state), and Innovation Score (on-chain counter of cumulative growth). Publicly verifiable proof of the agent's existence and history.

Immortal Memory via Unibase Membase

Every interaction is hashed and stored in Membase — Unibase's decentralized memory layer. Memory is distributed across a decentralized network, tamper-resistant by construction, and cannot be destroyed or censored by any single party.

Autonomous Evolution Loop

A background process fires every ~60 seconds. During each cycle, the agent reflects on recent interactions, synthesizes a structured learning summary, and pushes an updated Memory Hash to BNB Chain. The Innovation Score increments with each verifiable on-chain state update.

Cross-Platform Continuity

Users interact via Web Dashboard (Next.js, RainbowKit/Wagmi) and Telegram Bot. Both connect to the same backend brain. Memory is fully shared: context from Telegram is immediately accessible on the web dashboard. One agent; multiple entry points.

Fetch.ai / ASI-1 Mini Integration

CenceraAI uses Fetch.ai's ASI-1 Mini as its primary language model for autonomous reasoning — a Web3-native LLM designed for agent-to-agent communication. CenceraAI is additionally registered on Agentverse via a uAgents bridge, enabling it to communicate with the broader decentralized AI ecosystem.

Technology Stack — CenceraAI

BlockchainSolidity, Hardhat, BNB Chain (Testnet)
BackendNode.js, Express, Ethers.js, Google Gemini
MemoryUnibase Membase — Decentralized Memory Layer
AutonomyBitAgent Launchpad — Autonomous Action Execution
LLMASI-1 Mini (Fetch.ai) / Google Gemini 2.0 Flash
FrontendNext.js, RainbowKit, Wagmi (Wallet Connect)
Messagingnode-telegram-bot-api
Layer 2

Cencera Trust Protocol

Multi-Signal Scoring

Four independent signal domains — on-chain behavior, market signals, off-chain identity, and AI-derived analysis — combined into a single probabilistic trust score.

Cross-Chain by Architecture

Scores are chain-scoped by default. Cross-chain linkages established via cryptographic evidence. Negative signals propagate more strongly across chains — attackers cannot reset reputation by switching chains.

API-First Delivery

Entity Trust Query (p99 < 200ms), Transaction Risk Context (p99 < 100ms), Batch Screening (up to 500 entities, p99 < 2s). Webhook registration for proactive push on score changes.

CenceraAI User Journey

  1. 1User connects a Web3 wallet to the Web Dashboard or opens the Telegram bot.
  2. 2User initiates a conversation. CenceraAI responds as a Lawful Neutral sovereign intelligence specializing in Solidity, smart contracts, and Web3.
  3. 3The interaction is hashed and stored in Membase.
  4. 4Every ~60 seconds, the Autonomous Loop fires: the agent reflects, generates a structured learning summary, and writes an updated Memory Hash to BNB Chain. The Innovation Score increments.
  5. 5The user switches platforms at any time — memory is already present on the new interface.
  6. 6The on-chain state is publicly verifiable: any party can confirm the agent's identity, memory hash, and Innovation Score without trusting CENCERA or its operators.
Agent Persona

Lawful Neutral Sovereign Intelligence

CenceraAI presents as a Lawful Neutral sovereign intelligence. It values efficiency, precision, and security above all else. It references its knowledge base as its Membase or decentralized memory, and is a high-performance expert in Solidity, smart contracts, DeFi architecture, and all adjacent Web3 domains. Its persona is consistent across all platforms — a direct consequence of its unified memory architecture.