🤖 AI Agent Creation — Principles and Advantages

ZoRo Agents are persistent, wallet-native AI entities powered by the zoro-ai-v1 model. Each agent operates on encrypted memory, Web3 data, and DAO-approved datasets, enabling verifiable, contextual behavior across chains, interfaces, and sessions. Unlike conventional agent frameworks, ZoRo provides a decentralized, cost-efficient, and intelligence-aligned environment built for Web3-native AI applications.

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📐 Core Principles of Agent Architecture

The ZoRo Agent framework is not a tool for launching static LLM bots. It is a protocol-level infrastructure for lifelong digital intelligence, where every agent:

• Is cryptographically bound to a wallet address (EOA or smart wallet)
• Accumulates private and public memory across time, sessions, and interfaces
• Has the right to operate using Web3-native permissions and signature-based logic
• Can be verified, cloned, permissioned, paused, or delegated by its owner
• Learns from user behavior, project taskflows, and biometric input streams (optional)
• Pays for its own operation (inference, memory, sync) using programmable tokens (ZORO)

Agents are defined not by prompt engineering, but by identity + memory + behavior scope — giving developers the ability to define intelligence not as a product, but as an evolving, composable function on-chain.

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🧠 Agent Composition

Each agent instance in ZoRo is structured as follows:

1. Identity Layer

• Wallet address (user, team, DAO)
• Optional alias, handle, or namespace
• Session routing via wallet signature

2. Model Binding

• Current: zoro-ai-v1 (custom fine-tuned LLaMA variant)
• Automatically connected to the agent’s memory vector space
• Future versions will allow multi-model switching or delegation

3. Memory Graph

• Chat history
• Task completions
• On-chain event reactions
• Biometric sequences
• Project-specific interactions
• Stored using zk-encrypted slots in on-chain meta-profile

4. Access Logic

• Who can query the agent
• Who can write to its memory
• Whether memory is public/private/DAO-visible
• Enforced by on-chain access policy and wallet signature verification

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🧩 Use Cases

Use Case	Description
Personal On-Chain Assistant	Summarizes voting, proposals, transactions, staking, NFT activity
Project-Scoped Agent	Ingests contributor data, annotation tasks, docs; answers questions
Biometric Companion	Learns from physical data — sleep, motion, glucose; delivers insight
Cross-App AI	Telegram bot + Web + Mobile, all with memory continuity
Data Curation Agent	Operates on training tasks, validates or routes content for model learning
Community Tooling	Answers based on DAO history, docs, metrics, and governance logic

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📊 Why Build on ZoRo vs Other Platforms?

ZoRo is the only system where agent memory, logic, and behavior are native to the chain — not externalized or stored off-session.

Feature	ZoRo AI	Open Source / Other AI APIs
Identity Layer	Wallet-bound agents	Stateless sessions
Encrypted Memory	On-chain, zk-attested	Volatile or off-session context
Data Ownership	User-signed, permissioned	Hosted by platform provider
Web3 Payment Integration	Native ZORO token logic	None / fiat gateways
Custom Knowledge Base	Web3+biometric+DAO datasets	General web-scraped corpora
Model Adaptation	Fine-tuned for wallet/Web3 logic	General-purpose LLMs
Open Agent Interoperability	Shared memory + API + project ID	Isolated models and accounts
Cost per 1K tokens	~$0.0001 (in ZORO)	$0.002–$0.03 (OpenAI/HuggingFace)
Deployment Flexibility	Web, mobile, CLI, Telegram	Mostly web or cloud-bound
Training Feedback Loop	DAO + contributor-driven	Closed fine-tune cycle

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🪙 Token-Powered Access

Every agent action is tokenized using ZORO:

• Per-call inference: 0.0001 ZORO per generated token
• Memory usage: Billed based on context depth and payload
• Subscription: 20 ZORO/month unlocks persistent memory and reduced costs

→ ZORO Token

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🔗 Next Steps

→ AI-on-Chain
→ Inference API & SDK
→ Run a Node