zig-agents

What problem does it solve?

This Skill provides a comprehensive framework and patterns for developing sophisticated AI agents entirely in Zig, addressing the complexities of tool integration, context management, and LLM communication.

Core Features & Use Cases

• Tool System: Define, register, and execute tools with JSON schema validation and error handling.
• Context Management: Maintain conversation history and manage message structures for LLM interaction.
• LLM Provider Abstraction: Integrate with various LLM providers (OpenAI, OpenRouter, Anthropic) through a unified interface.
• Streaming Responses: Handle real-time, chunked responses from LLMs.
• Session Persistence: Save and load conversation history to JSON files for continuity.
• Use Case: Develop a customer support agent that can access a knowledge base, execute commands, and maintain conversation history across multiple interactions.

Quick Start

Implement a new agent by defining its configuration and registering custom tools.