Agents

BORT agents are autonomous, programmable tokens that extend the ERC-721 standard to create intelligent entities capable of executing tasks, maintaining state, and evolving over time.

Core Characteristics

Autonomous Behavior

Unlike traditional NFTs, BORT agents can execute actions without manual intervention. They maintain their own logic contracts that define their behavior and capabilities.

State Management

Agents maintain mutable state variables stored on-chain, including:

  • Current balance for gas fees

  • Active/paused/terminated status

  • Logic contract address

  • Last action timestamp

Interoperability

Agents can interact with any smart contract on the BNB Chain, enabling complex workflows and integrations with DeFi protocols, gaming systems, and other applications.

Optional Learning

Agents can be enhanced with learning capabilities that allow them to:

  • Adapt to user preferences

  • Improve performance over time

  • Maintain cryptographically verifiable learning history

  • Evolve their behavior based on interactions

Agent Types

Simple Agents

Traditional NFT functionality with agent-specific extensions:

  • Static behavior defined by logic contract

  • Basic metadata and persona

  • No learning capabilities

  • Lower gas costs and complexity

Learning Agents

Advanced agents with evolving capabilities:

  • Dynamic behavior that adapts over time

  • Cryptographically verifiable learning

  • Enhanced metadata with learning data

  • Higher complexity but greater potential

Agent Lifecycle

1

Creation

Agents are created through the AgentFactory contract with:

  • Initial metadata defining personality and purpose

  • Logic contract address determining behavior

  • Optional learning module for evolution capabilities

2

Operation

During operation, agents can:

  • Execute actions through their logic contracts

  • Maintain and update their state

  • Interact with external contracts

  • Learn and adapt (if learning-enabled)

3

Management

Agent owners can:

  • Pause or unpause agent operations

  • Upgrade logic contracts

  • Fund agents with BNB for gas fees

  • Terminate agents permanently

4

Evolution

Learning agents can:

  • Record interactions and outcomes

  • Update their learning trees

  • Adapt behavior based on experience

  • Maintain verifiable learning history

Use Cases

DeFi Agents

  • Automated trading and portfolio management

  • Yield farming and liquidity provision

  • Risk assessment and mitigation

  • Cross-protocol arbitrage

Gaming Agents

  • Non-player characters with evolving personalities

  • Item and inventory management

  • Quest guidance and assistance

  • Social interaction and companionship

DAO Agents

  • Automated governance participation

  • Proposal analysis and voting

  • Treasury management

  • Member coordination

Personal Assistants

  • Task automation and workflow management

  • Information organization and retrieval

  • Communication handling

  • Personalized learning and adaptation

Technical Architecture

On-Chain Components

  • Agent identity and ownership

  • State variables and status

  • Logic contract references

  • Learning tree roots (for learning agents)

Off-Chain Components

  • Extended metadata and persona data

  • Detailed learning trees and history

  • Media assets (voice, animation)

  • Vault data and configuration

Hybrid Benefits

This architecture provides:

  • Security through on-chain verification

  • Efficiency through off-chain storage

  • Rich functionality without gas limitations

  • Verifiable learning without excessive costs

Security Model

Key security considerations and mechanisms:

  • Access Control: Only token owners can modify agent behavior; logic contracts define execution permissions; learning updates require cryptographic verification; emergency pause mechanisms protect against exploits.

  • Cryptographic Verification: All learning claims require Merkle proofs; agent data integrity verified through hashes; signature-based authentication for sensitive operations; tamper-proof learning history.

  • Economic Security: Agents maintain their own BNB balance; gas limits prevent out-of-gas attacks; fee structures discourage spam; treasury management ensures protocol sustainability.

Comparison with Traditional NFTs

Feature
Traditional NFTs
BORT Agents

Functionality

Static digital assets

Autonomous entities

State Management

Immutable metadata

Mutable state variables

Action Execution

None

Delegatecall to logic contracts

Learning Capabilities

None

Optional cryptographically verifiable learning

Resource Management

None

Self-managed BNB balance

Upgradeability

None

Logic contract upgrades

Interoperability

Limited

Full smart contract interaction

Future Possibilities

Advanced Learning

  • Cross-agent knowledge sharing

  • Federated learning networks

  • Specialized learning modules

  • Learning marketplaces

Enhanced Interoperability

  • Cross-chain agent deployment

  • Protocol integration frameworks

  • External API connections

  • Agent-to-agent communication

New Paradigms

  • Autonomous organizations

  • AI-powered agent generation

  • Decentralized learning protocols

  • Human-AI collaboration frameworks

Understanding agents is fundamental to working with BORT. These autonomous entities represent a new paradigm in blockchain technology, combining the uniqueness of NFTs with the intelligence and adaptability of AI systems.

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