icon
AI Tools AI Agents MCP Ranking Submit & Advertise
Login

Comprehensive AI代理架構 Tools for Every Need

Get access to AI代理架構 solutions that address multiple requirements. One-stop resources for streamlined workflows.

AI代理架構

  • Multi-LLM Dynamic Agent Router

    A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
    0
    1
    What is Multi-LLM Dynamic Agent Router?
    The Multi-LLM Dynamic Agent Router is an open-architecture framework for building AI agent collaborations. It features a dynamic router that directs sub-requests to the optimal language model, and a GraphQL interface to define composite prompts, query results, and merge responses. This enables developers to break complex tasks into micro-prompts, route them to specialized LLMs, and recombine outputs programmatically, yielding higher relevance, efficiency, and maintainability.

  • Plan Agent with Meta-Agent

    An AI framework combining hierarchical planning and meta-reasoning to orchestrate multi-step tasks with dynamic sub-agent delegation.
    0
    0
    What is Plan Agent with Meta-Agent?
    Plan Agent with Meta-Agent provides a layered AI agent architecture: the Plan Agent generates structured strategies to achieve high-level goals, while the Meta-Agent oversees execution, adjusts plans in real-time, and delegates subtasks to specialized sub-agents. It features plug-and-play tool connectors (e.g., web APIs, databases), persistent memory for context retention, and configurable logging for performance analysis. Users can extend the framework with custom modules to suit diverse automation scenarios, from data processing to content generation and decision support.

  • CamelAGI

    CamelAGI is an open-source AI agent framework offering modular components to build memory-driven autonomous agents.
    0
    0
    What is CamelAGI?
    CamelAGI is an open-source framework designed to simplify the creation of autonomous AI agents. It features a plugin architecture for custom tools, long-term memory integration for context persistence, and support for multiple large language models such as GPT-4 and Llama 2. Through explicit planning and execution modules, agents can decompose tasks, call external APIs, and adapt over time. CamelAGI’s extensibility and community-driven approach make it suitable for research prototypes, production systems, and educational projects alike.

  • IntelliConnect

    IntelliConnect is an AI agent framework that connects language models with diverse APIs for chain-of-thought reasoning.
    0
    1
    What is IntelliConnect?
    IntelliConnect is a versatile AI agent framework that enables developers to build intelligent agents by connecting LLMs (e.g., GPT-4) with various external APIs and services. It supports multi-step reasoning, context-aware tool selection, and error handling, making it ideal for automating complex workflows such as customer support, data extraction from web or documents, scheduling, and more. Its plugin-based design allows easy extension, while built-in logging and observability help monitor agent performance and refine capabilities over time.

  • NeXent

    NeXent is an open-source platform for building, deploying, and managing AI agents with modular pipelines.
    0
    0
    What is NeXent?
    NeXent is a flexible AI agent framework that lets you define custom digital workers via YAML or Python SDK. You can integrate multiple LLMs, external APIs, and toolchains into modular pipelines. Built-in memory modules enable stateful interactions, while a monitoring dashboard provides real-time insights. NeXent supports local and cloud deployment, Docker containers, and scales horizontally for enterprise workloads. The open-source design encourages extensibility and community-driven plugins.
Featured