awesome-repositories.com
ब्लॉग
MCP
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टMCP सर्वरहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेस
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 रिपॉजिटरी

Awesome GitHub RepositoriesMulti-Language Agent SDKs

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

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Multi-Language Agent SDKs. Refine with filters or upvote what's useful.

Awesome Multi-Language Agent SDKs GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • google/adk-samplesgoogle का अवतार

    google/adk-samples

    8,476GitHub पर देखें↗

    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.

    Pythonadkagent-samplesagents
    GitHub पर देखें↗8,476
  • microsoft/malmoMicrosoft का अवतार

    Microsoft/malmo

    4,265GitHub पर देखें↗

    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.

    Java
    GitHub पर देखें↗4,265
  1. Home
  2. Artificial Intelligence & ML
  3. Multi-Language Agent SDKs