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Comprehensive arquitectura de plugin Tools for Every Need

Get access to arquitectura de plugin solutions that address multiple requirements. One-stop resources for streamlined workflows.

arquitectura de plugin

  • AgentUniverse

    An open-source SDK enabling developers to build, orchestrate and deploy autonomous AI agents with custom tools integration.
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    What is AgentUniverse?
    AgentUniverse provides a unified Python SDK to design, orchestrate, and run autonomous AI agents. Developers can define agent behaviors, integrate external tools or APIs, maintain conversational memory, and sequence multi-step tasks. Supporting LangChain, custom tool plugins, and configurable runtime environments, it accelerates agent development and deployment. Built-in monitoring and logging enable real-time insights, while its modular architecture allows easy extension with new capabilities or AI models.
    AgentUniverse Core Features
    • Multi-step task orchestration
    • Tool and API integration
    • Conversational memory management
    • Framework integrations (e.g., LangChain)
    • Real-time monitoring and logging
    • Modular plugin architecture

  • ai-agents-trial

    A Python-based framework for building custom AI agents that integrate LLMs with tools for task automation.
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    What is ai-agents-trial?
    ai-agents-trial is an open-source Python project demonstrating how to build autonomous AI agents using LLMs. It provides modular abstractions for agent planning, tool invocation (e.g., web search, calculators), and memory management. Developers can define custom tools, chain actions across multiple steps, and persist context across sessions. The codebase uses OpenAI APIs alongside helper utilities to orchestrate workflows, making it ideal for rapid prototyping of chat-based assistants, research bots, or domain-specific automation agents. Integration points allow extending functionality with new connectors and data sources without altering core logic.
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