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Maschinelles Lernen Agenten

  • A GitHub repository showcasing code samples for building autonomous AI agents on Azure with memory, planning, and tool integration.
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    What is Azure AI Foundry Agents Samples?
    Azure AI Foundry Agents Samples provides developers with a rich set of example scenarios that illustrate how to leverage Azure AI Foundry SDKs and services. It includes conversational agents with long-term memory, planner agents that break down complex tasks, tool-enabled agents that call external APIs, and multimodal agents combining text, vision, and speech. Each sample is preconfigured with environment setups, LLM orchestration, vector search, and telemetry to accelerate prototyping and deployment of robust AI solutions on Azure.
    Azure AI Foundry Agents Samples Core Features
    • Conversational agents with long-term memory
    • Automated task planning and execution
    • Integration with Azure OpenAI, Cognitive Search, Vision, and Speech
    • Tool chaining and external API calls
    • Multimodal capabilities combining text, image, and speech
    • Built-in telemetry and logging examples
  • Open-source Python framework that builds modular autonomous AI agents to plan, integrate tools, and execute multi-step tasks.
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    What is Autonomais?
    Autonomais is a modular AI agent framework designed for full autonomy in task planning and execution. It integrates large language models to generate plans, orchestrates actions via a customizable pipeline, and stores context in memory modules for coherent multi-step reasoning. Developers can plug in external tools like web scrapers, databases, and APIs, define custom action handlers, and fine-tune agent behavior through configurable skills. The framework supports logging, error handling, and step-by-step debugging, ensuring reliable automation of research tasks, data analysis, and web interactions. With its extensible plugin architecture, Autonomais enables rapid development of specialized agents capable of complex decision-making and dynamic tool usage.
  • Continuum is an open-source AI agent framework for orchestrating autonomous LLM agents with modular tool integration, memory, and planning capabilities.
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    What is Continuum?
    Continuum is an open-source Python framework that enables developers to construct intelligent agents by defining tasks, tools, and memory in a composable manner. Agents built with Continuum follow a plan-execute-observe loop, allowing interleaving of LLM reasoning with external API calls or scripts. Its pluggable architecture supports multiple memory stores (e.g., Redis, SQLite), custom tool libraries, and asynchronous execution. With a focus on flexibility, users can write custom agent policies, integrate third-party services like databases or webhooks, and deploy agents across environments. Continuum’s event-driven orchestration logs agent actions, facilitating debugging and performance tuning. Whether automating data ingestion, building conversational assistants, or orchestrating DevOps pipelines, Continuum provides a scalable foundation for production-grade AI agent workflows.
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