Comprehensive gestion de la mémoire contextuelle Tools for Every Need

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gestion de la mémoire contextuelle

  • AI Foundry is a no-code platform to build autonomous AI agents by chaining LLMs, APIs, memory and triggers into workflows.
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    What is AI Foundry?
    AI Foundry offers a comprehensive no-code environment to construct custom AI agents that autonomously perform complex tasks. Users create workflows using a visual builder, chaining language models, REST APIs, database connectors and memory stores. Each agent can be configured with event triggers, scheduling options, execution logs and collaboration features. Test agents interactively before deploying them as API endpoints or embedding them into applications. Built-in monitoring and analytics provide real-time insights into performance and usage. AI Foundry scales horizontally, supports role-based access controls for teams, and ensures secure data handling, enabling businesses and developers to automate processes such as customer support automation, research assistance, report generation or lead qualification quickly and reliably.
    AI Foundry Core Features
    • Visual no-code workflow builder
    • Multi-LLM orchestration
    • API and data connector integrations
    • Memory and context management
    • Event triggers and scheduling
    • Real-time logging and monitoring
    • Team collaboration and access control
    • One-click deployment as API endpoints
    AI Foundry Pro & Cons

    The Cons

    The Pros

    Provides hands-on tutorials for AI development
    Includes production-ready code samples
    Focuses on best practices and development patterns for Azure AI
  • AnYi is a Python framework for building autonomous AI agents with task planning, tool integration, and memory management.
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    What is AnYi AI Agent Framework?
    AnYi AI Agent Framework helps developers integrate autonomous AI agents into their applications. Agents can plan and execute multi-step tasks, leverage external tools and APIs, and maintain conversation context through configurable memory modules. The framework abstracts interactions with various LLM providers and supports custom tool and memory backends. With built-in logging, monitoring, and asynchronous execution, AnYi accelerates deployment of intelligent assistants for research, customer support, data analysis, or any workflow requiring automated reasoning and action.
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