Ultimate Conception conversationnelle Solutions for Everyone

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Conception conversationnelle

  • AIUS is an agent orchestration platform enabling developers to build, deploy, and manage multi-channel conversational AI agents with integrated memory.
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    What is AIUS?
    AIUS is a full-stack AI agent development platform designed to simplify the creation of intelligent virtual assistants and chatbots. It features a visual interface to define conversation flows, integrated memory for persistent context across interactions, and a plugin system to connect external APIs and databases. Agents can be deployed to websites, mobile apps, and popular messaging platforms like Slack and WhatsApp. The platform includes monitoring dashboards, performance metrics, and A/B testing tools, enabling developers to iterate quickly and optimize agent behavior. With support for multiple programming languages (JavaScript, Python) and pre-built templates for common use cases, AIUS accelerates time-to-market for AI-driven customer support, sales assistance, and process automation.
    AIUS Core Features
    • Visual conversation flow designer
    • Persistent memory management
    • Multi-channel deployment
    • API & plugin integration
    • Built-in analytics & monitoring
    • Version control & collaboration
    AIUS Pro & Cons

    The Cons

    The Pros

    Open-source under MIT License
    Supports building AI agents with long-term memory
    Active community via Discord and GitHub
    Easy installation via pip
  • Graph-centric AI agent framework orchestrating LLM calls and structured knowledge through customizable language graphs.
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    What is Geers AI Lang Graph?
    Geers AI Lang Graph provides a graph-based abstraction layer for building AI agents that coordinate multiple LLM calls and manage structured knowledge. By defining nodes and edges representing prompts, data, and memory, developers can create dynamic workflows, track context across interactions, and visualize execution flows. The framework supports plugin integrations for various LLM providers, custom prompt templating, and exportable graphs. It simplifies iterative agent design, improves context retention, and accelerates prototyping of conversational assistants, decision-support bots, and research pipelines.
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