icon
AI Tools AI Agents MCP Ranking Submit & Advertise
Login

Comprehensive acheminement dynamique Tools for Every Need

Get access to acheminement dynamique solutions that address multiple requirements. One-stop resources for streamlined workflows.

acheminement dynamique

  • Multi AI Agent Systems

    An open-source framework enabling creation and orchestration of multiple AI agents that collaborate on complex tasks via JSON messaging.
    0
    0
    What is Multi AI Agent Systems?
    This framework allows users to design, configure, and deploy multiple AI agents that communicate via JSON messages through a central orchestrator. Each agent can have distinct roles, prompts, and memory modules, and you can plug in any LLM provider by implementing a provider interface. The system supports persistent conversation history, dynamic routing, and modular extensions. Ideal for simulating debates, automating customer support flows, or coordinating multi-step document generation, it runs on Python, with Docker support for containerized deployments.
    Multi AI Agent Systems Core Features
    • Multi-agent orchestration with central message bus
    • Role-based agent definitions and behaviors
    • Configurable communication protocols (JSON schemas)
    • Plugin support for custom LLM providers
    • Persistent conversation memory modules
    • Dockerfile for containerized deployments

  • Agent Starter Pack

    An open-source Google Cloud framework offering templates and samples to build conversational AI agents with memory, planning, and API integrations.
    0
    0
    What is Agent Starter Pack?
    Agent Starter Pack is a developer toolkit that scaffolds intelligent, interactive agents on Google Cloud. It offers templates in Node.js and Python to manage conversation flows, maintain long-term memory, and perform tool and API invocations. Built on Vertex AI and Cloud Functions or Cloud Run, it supports multi-step planning, dynamic routing, observability, and logging. Developers can extend connectors to custom services, build domain-specific assistants, and deploy scalable agents in minutes.
Featured