AReaL

Agent-lightning is designed to enhance the capabilities of AI agents, enabling them to learn and adapt more effectively. By utilizing advanced techniques in machine learning and reinforcement learning, it provides a framework that simplifies the training process for building intelligent systems.

Enhance your virtual agents with pre-built skills that allow them to interact more effectively and intelligently in various scenarios. This resource provides tools and examples to streamline the development process for creating smarter, more capable agents.

Offers a collection of skills and functionalities for agents, enabling them to perform various tasks effectively. With over 20,000 stars, it serves as a valuable resource for developers looking to enhance their applications with intelligent agent capabilities.

A comprehensive collection of skills designed to enhance the performance of agent systems, focusing on effective context management for building, optimizing, or debugging these systems. It provides practical tools for developers to improve multi-agent architectures and production environments.

An HTTP API enables seamless interaction with various AI models like Claude Code, Goose, Aider, Gemini, Amp, and Codex, simplifying the integration of their capabilities into applications. This repository provides a straightforward way for developers to access and utilize these advanced AI functionalities.

AgentCPM provides a comprehensive framework for training and assessing different language model agents. It simplifies the process of developing and evaluating these agents, making it easier for users to create effective AI-driven solutions.