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mémoire de conversation IA

  • TypeAI Core

    TypeAI Core orchestrates language-model agents, handling prompt management, memory storage, tool executions, and multi-turn conversations.
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    What is TypeAI Core?
    TypeAI Core delivers a comprehensive framework for creating AI-driven agents that leverage large language models. It includes prompt template utilities, conversational memory backed by vector stores, seamless integration of external tools (APIs, databases, code runners), and support for nested or collaborative agents. Developers can define custom functions, manage session states, and orchestrate workflows through an intuitive TypeScript API. By abstracting complex LLM interactions, TypeAI Core accelerates the development of context-aware, multi-turn conversational AI with minimal boilerplate.
    TypeAI Core Core Features
    • Prompt templating and management
    • Vector-based conversational memory
    • Dynamic tool and function integration
    • Multi-agent orchestration
    • LLM provider abstraction
    • Type-safe TypeScript API
    TypeAI Core Pro & Cons

    The Cons

    Requires specific runtime environments (e.g., does not support tsx runtime).
    Needs installation of forked versions of Deepkit packages which could complicate setup.
    Documentation mentions some gotchas and experimental decorators requirements that may impose learning curve.

    The Pros

    Enables the creation of AI functionalities with strong TypeScript type safety.
    Simplifies LLM integration into TypeScript code by automating JSON schema generation.
    Allows AI-backed functions to feel like ordinary code, reducing cognitive load.
    Open source with an active GitHub repository.
    Supports function dispatch and result handling with OpenAI APIs transparently.
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