2 रिपॉजिटरी
Software development kits that provide consistent agent implementation patterns across different programming languages.
Distinct from Multi-Language Implementations: Focuses on agent-specific SDKs across languages, rather than general algorithm implementations
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This project provides a collection of reference implementations, architectural patterns, and SDK samples for building autonomous agents using large language models. It serves as a multi-language framework for implementing and deploying specialized AI agents across diverse programming environments. The system centers on an orchestration framework that combines deterministic code with adaptive reasoning through structured graph workflows. It utilizes schema-driven integration to connect agents with third-party applications and diverse AI models. The development lifecycle is supported by toolki
Provides a set of programming samples and SDKs for implementing AI agents across diverse coding environments.
Malmo is a voxel-based simulation platform designed for artificial intelligence research and the study of autonomous agent behaviors. Built as a sandbox environment using Minecraft, it serves as a framework for multi-agent simulation and reinforcement learning research within a 3D grid of blocks. The project distinguishes itself through a multi-agent simulation framework that coordinates and synchronizes multiple autonomous agents to perform collaborative missions. It provides a standardized interface following reinforcement learning specifications, allowing it to function as an environment f
Supports the development of autonomous agents using various programming languages through a consistent set of SDKs.