Agent-Runtime-Core

A core framework for managing agent runtime, semantic data normalization, configuration, and LLM transport across distributed systems.

Overview

Agent-Runtime-Core provides the foundational components necessary to manage the lifecycle and operations of sophisticated agent systems. It is designed to handle complex distributed interactions, ensure semantic consistency in agent data, manage system configuration, and facilitate robust transport of Large Language Model (LLM) operations.

This framework acts as the central nervous system, enabling distributed agents to operate coherently, share semantic knowledge, and communicate effectively.

Features

• Agent Runtime Management: Core mechanisms for initiating, monitoring, and managing the execution lifecycle of distributed agents (via runtime_factory.go and daemon.go).
• Semantic Data Normalization: Tools for normalizing and managing semantic data, ensuring consistency and interoperability across the system (via semantic_test.go and normalization_test.go).
• Distributed Configuration: Systems for handling agent configuration and metadata management (via config_writer.go and server_metadata_test.go).
• LLM Transport: Dedicated components for transporting LLM interactions and requests across the distributed environment (via transport_llmhttp.go and protomcp.go).
• State Management: Core logic for memory and persistent data storage (via memory.go and associated testing files).
• System Utilities: Includes logging wrappers (log_wrapper.go), caller information, and Git handling capabilities.
• Architectural Definition: Defines the overall system structure (architecture.go) and naming conventions (namingconventions.go).

Installation

This repository is a core framework and is intended to be integrated into larger applications. Setup typically involves:

1. Clone the Repository:

   git clone <repository-url>
   cd Agent-Runtime-Core

2. Environment Setup: Depending on the full project context, ensure necessary dependencies (e.g., Go modules) are initialized and environment variables are configured for running the agent runtime components.

3. Configuration Template: Use the provided template for system configuration:

   cp helm_template.tmpl helm_config.yaml
   # Edit helm_config.yaml to define agent runtime parameters

Usage

The framework components are designed to be imported and utilized by higher-level agent implementations. Key areas of interaction include:

• Agent Initialization: Using the runtime_factory to create and manage agent instances.
• Data Handling: Utilizing semantic normalization routines to ensure all agent communications adhere to consistent standards.
• LLM Communication: Implementing transport layers (like HTTP/Protobuf) for external LLM interactions.
• System Monitoring: Leveraging the logging and metadata components for operational visibility.