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Comprehensive prototypage d'IA Tools for Every Need

Get access to prototypage d'IA solutions that address multiple requirements. One-stop resources for streamlined workflows.

prototypage d'IA

  • CAMEL-AI

    CAMEL-AI is an open-source LLM multi-agent framework enabling autonomous agents to collaborate using retrieval-augmented generation and tool integration.
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    What is CAMEL-AI?
    CAMEL-AI is a Python-based framework that allows developers and researchers to build, configure, and run multiple autonomous AI agents powered by LLMs. It offers built-in support for retrieval-augmented generation (RAG), external tool usage, agent communication, memory and state management, and scheduling. With modular components and easy integration, teams can prototype complex multi-agent systems, automate workflows, and scale experiments across different LLM backends.
    CAMEL-AI Core Features
    • Multi-agent orchestration and scheduling
    • Retrieval-augmented generation (RAG)
    • External tool integration
    • Agent-to-agent communication
    • Memory and state management
    • Telemetry and logging
    CAMEL-AI Pro & Cons

    The Cons

    No clear information on open-source status
    Pricing details are not explicitly available
    Limited direct user-facing application details

    The Pros

    Supports development of autonomous AI agents
    Facilitates multi-agent systems and agent communication
    Provides decision making and learning capabilities
    CAMEL-AI Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://docs.camel-ai.org/

  • Azure AI Agents JavaScript SDK

    A JavaScript SDK for building and running Azure AI Agents with chat, function calling, and orchestration features.
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    What is Azure AI Agents JavaScript SDK?
    The Azure AI Agents JavaScript SDK is a client framework and sample code repository that enables developers to build, customize, and orchestrate AI agents using Azure OpenAI and other cognitive services. It offers support for multi-turn chat, retrieval-augmented generation, function calling, and integration with external tools and APIs. Developers can manage agent workflows, handle memory, and extend capabilities via plugins. Sample patterns include knowledge base Q&A bots, autonomous task executors, and conversational assistants, making it easy to prototype and deploy intelligent solutions.
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