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Comprehensive ejecución de múltiples pasos Tools for Every Need

Get access to ejecución de múltiples pasos solutions that address multiple requirements. One-stop resources for streamlined workflows.

ejecución de múltiples pasos

  • MixAgent

    Modular AI agent framework orchestrating LLM planning, tool usage, and memory management for autonomous task execution.
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    What is MixAgent?
    MixAgent provides a plug-and-play architecture that lets developers define prompts, connect multiple LLM backends, and incorporate external tools (APIs, databases, or code). It orchestrates planning and execution loops, manages agent memory for stateful interactions, and logs chain-of-thought reasoning. Users can quickly prototype assistants, data fetchers, or automation bots without building orchestration layers from scratch, accelerating AI agent deployment.
    MixAgent Core Features
    • Multi-step planning and execution loops
    • Plugin-based tool integration (APIs, databases, code)
    • Persistent memory management
    • Support for multiple LLM backends
    • Chain-of-thought reasoning logs

  • Agno AI Agent

    An open-source Python framework that builds autonomous AI agents with LLM planning and tool orchestration.
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    What is Agno AI Agent?
    Agno AI Agent is designed to help developers quickly build autonomous agents powered by large language models. It provides a modular tool registry, memory management, planning and execution loops, and seamless integration with external APIs (such as web search, file systems, and databases). Users can define custom tool interfaces, configure agent personalities, and orchestrate complex, multi-step workflows. Agents can plan tasks, call tools dynamically, and learn from previous interactions to improve performance over time.
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