Protocol Overview
The aigent.run protocol is a modular and robust system designed to integrate blockchain functionality, AI-powered agents, and decentralized interactions into a seamless platform
Last updated
The aigent.run protocol is a modular and robust system designed to integrate blockchain functionality, AI-powered agents, and decentralized interactions into a seamless platform
Last updated
Purpose
The Web Application Layer serves as the primary user interface for aigent.run, managing all user interactions, inputs, actions, transactions, payments, and token operations.
Responsibilities
User inputs: Captures and processes user commands, configurations, and token or agent management actions.
Agent management: Allows users to create, configure, monitor, and manage agents.
Token management: Facilitates the creation, modification, and lifecycle management of tokens.
Authentication: Handled by a built-in client-side wallet, eliminating the need for OAuth or multifactor authentication.
Payments: Integrates payment workflows.
Interactions
Communicates with the Backend Processing Layer for user action processing and result delivery.
Interacts with The Root Network (TRN) Blockchain Layer and the XRP Ledger (XRPL) Blockchain Layer for token creation, payments, and onchain agent operations.
Purpose
This layer powers all server-side operations, orchestrating agent frameworks, processing inferences, and acting as the intermediary between users and their agents.
Responsibilities
Inference processing: Processes AI inferences for aigent.run’s in-house framework.
Agent orchestration: Manages and provisions instances running third-party frameworks (e.g. ElizaOS and ZerePy).
Communication management: Relays user commands and results between the Web Application Layer and other components.
Integration: Interfaces with the TRN Blockchain Layer and XRPL Blockchain Layer for onchain interactions.
Interactions
Relays inference requests to the Inference Layer and returns processed results.
Orchestrates cloud-based agent framework instances.
Acts as the integration point for blockchain interactions and API requests.
Purpose
Manages the lifecycle and execution of AI agents. This layer supports both proprietary frameworks and third-party open-source options.
Responsibilities
Executes agent logic based on configurations set by users.
Supports frameworks such as aigent.run’s proprietary system, ElizaOS, and ZerePy.
Provides isolation and scalability by spinning up cloud-based instances dynamically.
Interactions
Interacts with the Backend Processing Layer for configuration and orchestration.
May directly request AI model execution from the Inference Layer.
Purpose
Handles AI inference tasks, allowing agent owners to choose between commercial APIs or in-house LLM servers.
Responsibilities
Commercial APIs: Integrates with services like OpenAI and xAI for general-purpose tasks.
In-house servers: Hosts proprietary AI models optimized for specific use cases, providing lower latency and cost-efficiency.
Inference processing: Ensures secure and efficient inference processing with agent-specific configurations.
Interactions
Processes inference requests from the Backend Processing Layer or Agent Framework Layer.
Returns processed results directly to the requesting layer.
Purpose
Manages onchain parts of the aigent.run ecosystem, supporting token creation, DEX operations, and agent content verification.
Responsibilities
Token management: Enables on-chain creation and lifecycle management of tokens.
Decentralized exchange (DEX): Supports token trading within the ecosystem.
Content verification: Provides an immutable and secure layer for validating agent-generated content.
Interactions
Communicates with the Web Application Layer for TRN token creation and trading.
Integrates with the XRPL Blockchain Layer for crosschain token management.
Purpose
Enhances agents with payments, crosschain operations, and decentralized financial capabilities.
Responsibilities
Payments: Facilitates real-time XRP payments and onchain XRPL wallet management.
Cross-chain operations: Synchronizes assets and tokens with the TRN Blockchain Layer.
Incentivization: Supports trading, rewards distribution, and other financial incentives for agents and users on the XRPL.
Interactions
Interfaces with the Web Application Layer for wallet-based XRPL payments and token swaps.
Processes requests from the Backend Processing Layer for XRPL-specific operations.
Synchronizes assets and data with the TRN Blockchain Layer for seamless interoperability.
Purpose
Provides data aggregation and insights by integrating social and blockchain data APIs with agent memory storage.
Responsibilities
Aggregates social and blockchain data for advanced agent analysis.
Enhances agent decision-making by providing actionable insights from external APIs.
Synchronizes on-chain and off-chain data streams for better performance.
Interactions
Collects social data for ecosystem analysis via the Social Platforms layer.
Integrates with Blockchain Layers to collect onchain information for agent analysis.
Purpose
Extends agent functionality to interact with external social platforms for content creation, ecosystem analysis, thought sharing, and user interaction.
Responsibilities
Allows agents to post, engage, and respond on social platforms.
Aggregates social data for agent processing and analysis.
Interactions
Communicates with the Agent Data Analysis Layer for aggregated social data.
Enables agent-driven social media engagement.
