Agent Builder Framework
Last updated
Last updated
Hybrid's Agent Builder Framework is a technical toolkit for creating and deploying AI agents designed to interact with decentralized systems. It integrates key components like modular SDKs, real-time data pipelines, decentralized storage, and blockchain-based transaction layers, enabling efficient and verifiable agent functionality in Web3.
Agent Builder SDK
Provides a structured framework for initializing, developing, and testing AI agents.
Includes libraries and APIs for integrating machine learning models (e.g., GPT models, custom AI pipelines).
Supports configurable agent logic, allowing developers to define task-specific behavior.
Data Access
Facilitates integration with on-chain APIs (e.g., Subgraph) and off-chain data providers (e.g., market data, social APIs).
Enables verifiable data feeds using Hybrid’s Integrity Nodes, ensuring accuracy and trustworthiness.
Decentralized Storage
Provides access to distributed storage systems like Filecoin and IPFS.
Ensures secure storage of training data, agent state, and interaction logs while maintaining user privacy.
Blockchain Integration
Native compatibility with Hybrid's Layer 2 blockchain and EVM-compatible networks.
Includes support for Account Abstraction wallets (via Hybrid Wallets powered by Privy), enabling seamless on-chain execution.
Pre-Defined Templates
Pre-configured setups for common agent types, such as:
On-chain portfolio managers.
Governance analysis tools.
Social media data aggregators.
Allows developers to start projects without building from scratch.
Configurable Modules
Agents can integrate custom datasets, third-party APIs, and decentralized storage without compromising functionality.
Modularity ensures compatibility across different environments and use cases.
Verifiable Interactions
All agent actions and data inputs are verified via Integrity Nodes, providing transparency and reliability.
Project Initialization
Use the SDK to generate a project template tailored to the desired use case.
Set up required dependencies and configure the agent’s logic.
Data Integration
Connect the agent to relevant data pipelines, including live feeds from blockchains and external APIs.
Storage Configuration
Specify decentralized storage for critical data, ensuring secure and scalable access.
Testing and Deployment
Deploy the agent on Hybrid’s Layer 2 network or other compatible chains.
Conduct simulations to validate agent behavior before live deployment.
Scaling and Monitoring
Scale the agent’s capabilities using Hybrid’s tools for performance monitoring and debugging.