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google/adk-samples

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Adk Samples

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 toolkits for measuring agent reliability and performance against quality benchmarks. A command line interface manages the transition of these agents from initial prototyping and testing to production deployment.

AI सर्च

और अधिक बेहतरीन रिपॉजिटरी खोजें

अपनी ज़रूरत को सरल भाषा में बताएं — AI हजारों क्यूरेटेड ओपन-सोर्स प्रोजेक्ट्स को प्रासंगिकता के आधार पर रैंक करता है।

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Features

  • AI Agent Development - Provides the foundational framework, reference architectures, and tools for developing specialized autonomous AI agents.
  • AI Agent Architectures - Organizes agent logic into modular architectures that decouple reasoning from service implementations.
  • Agentic Workflow Graphs - Uses structured graph architectures to combine deterministic code with adaptive reasoning for complex task management.
  • Agentic Workflow Orchestration - Orchestrates complex task execution paths by combining adaptive reasoning with structured graph workflows.
  • AI Agent Tool Integrations - Connects AI agents to external software, databases, and APIs to extend their data access and functionality.
  • AI Agent Orchestration Frameworks - Implements a runtime for managing autonomous agent loops and tool discovery within durable pipelines.
  • Autonomous Agent Patterns - Provides architectural patterns and reference implementations for designing specialized autonomous AI agents.
  • Multi-Language Agent SDKs - Provides a set of programming samples and SDKs for implementing AI agents across diverse coding environments.
  • Tool-Calling Schemas - Maps third-party API capabilities to structured schemas that enable AI models to call external functions.
  • Tool-Use Integrations - Enables agents to expand their functional capabilities by integrating third-party applications and diverse AI models.
  • LLM Reasoning Workflows - Implements graph-based orchestrators designed for sequences of LLM operations and adaptive reasoning patterns.
  • Agent Deployment - Provides a CLI for the creation, testing, and provisioning of autonomous agent instances.
  • Agent Deployment Tools - Implements utilities for transitioning AI agents from initial local prototypes to production environments.
  • Agent Evaluation Tools - Provides a specialized testing suite to assess reasoning and tool usage in autonomous agent workflows.
  • Evaluation Metrics - Provides methods for measuring agent reliability by comparing execution outputs against quality benchmarks.
  • AI Observability and Evaluation - Offers tools for evaluating agent reliability and effectiveness before production deployment.
  • Deployment Command Line Interfaces - Ships a command line interface to manage the transition of agents from prototyping to production deployment.
  • Cross-Language Implementations - Applies a consistent set of design patterns across multiple programming languages to ensure cross-platform compatibility.
8,476 स्टार्स·2,264 फोर्क्स·Python·apache-2.0·14 व्यूज़

स्टार हिस्ट्री

google/adk-samples के लिए स्टार हिस्ट्री चार्टgoogle/adk-samples के लिए स्टार हिस्ट्री चार्ट

अक्सर पूछे जाने वाले प्रश्न

google/adk-samples क्या करता है?

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.

google/adk-samples की मुख्य विशेषताएं क्या हैं?

google/adk-samples की मुख्य विशेषताएं हैं: AI Agent Development, AI Agent Architectures, Agentic Workflow Graphs, Agentic Workflow Orchestration, AI Agent Tool Integrations, AI Agent Orchestration Frameworks, Autonomous Agent Patterns, Multi-Language Agent SDKs।

google/adk-samples के कुछ ओपन-सोर्स विकल्प क्या हैं?

google/adk-samples के ओपन-सोर्स विकल्पों में शामिल हैं: nirdiamant/agents-towards-production — This project is a comprehensive framework for developing, orchestrating, and deploying autonomous agents. It provides… mastra-ai/mastra — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and… torantulino/auto-gpt — Auto-GPT is an autonomous agent framework designed for creating and deploying AI agents that use large language models… langchain-ai/langchainjs — LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an… sarwarbeing-ai/agentic_design_patterns — This project is a collection of architectural templates and design patterns for building autonomous AI agents. It… pydantic/pydantic-ai — PydanticAI is a Python framework designed for building production-grade autonomous agents. It provides a unified…

Adk Samples के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Adk Samples के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • nirdiamant/agents-towards-productionNirDiamant का अवतार

    NirDiamant/agents-towards-production

    17,375GitHub पर देखें↗

    This project is a comprehensive framework for developing, orchestrating, and deploying autonomous agents. It provides a structured environment for building agents that utilize reasoning loops to perform multi-step tasks, manage state through graph-based workflows, and interact with external tools. By mapping unstructured model outputs into typed schemas, the framework ensures reliable integration with downstream application logic. The platform distinguishes itself through a focus on production-grade reliability and security. It incorporates hybrid memory systems that combine vector embeddings

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  • mastra-ai/mastramastra-ai का अवतार

    mastra-ai/mastra

    21,221GitHub पर देखें↗

    Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

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  • torantulino/auto-gptTorantulino का अवतार

    Torantulino/Auto-GPT

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    Auto-GPT is an autonomous agent framework designed for creating and deploying AI agents that use large language models to plan and execute complex goals independently. The system provides a comprehensive environment for managing the entire agent lifecycle, from initial design and testing to live production deployment. The project features a low-code workflow designer that allows users to define agent behaviors by connecting functional blocks in a visual interface. It includes an agent marketplace for discovering and deploying pre-configured agent templates and a standardized evaluation tool t

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  • langchain-ai/langchainjslangchain-ai का अवतार

    langchain-ai/langchainjs

    17,818GitHub पर देखें↗

    LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes. The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This

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    • Adk Samples के सभी 30 विकल्प देखें→