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Comprehensive 성능 대시보드 Tools for Every Need

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

성능 대시보드

  • Anda AI

    An AI-powered agent platform that automates business workflows and task handling across integrated apps.
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    What is Anda AI?
    Anda AI lets you design, train, and deploy virtual agents that connect to your tools—email, CRM, spreadsheets, chat apps, and more—and perform rule-based or AI-driven tasks automatically. Define triggers, workflows, and data mappings via a visual builder, then monitor agent performance through real-time dashboards. Use cases include email triage, automated reporting, invoice processing, social listening, and CRM updates, all running 24/7 without coding.
    Anda AI Core Features
    • No-code agent builder
    • Pre-built app integrations
    • Custom workflow orchestration
    • Event triggers and scheduling
    • AI-driven data extraction
    • Real-time monitoring dashboard
    Anda AI Pro & Cons

    The Cons

    Limited current availability as the primary agents app is 'coming soon'.
    Complex architecture may present a steep learning curve for developers.
    Lack of detailed pricing or commercial packaging information publicly available.

    The Pros

    Utilizes persistent memory enabling AI agents to evolve beyond ephemeral states.
    Decentralized trust architecture based on blockchain and secure TEE networks.
    Swarm intelligence for collaborative, distributed problem-solving.
    Open source with a full stack including protocol, DB, and cloud infrastructure.
    Supports specialized LLMs optimized for specific domains.
    Facilitates diverse real-world applications like supply chain automation and medical diagnostics.

  • AWS Bedrock Multi-Agent Collaboration

    Enables multiple AI agents in AWS Bedrock to collaborate, coordinate tasks, and solve complex problems together.
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    What is AWS Bedrock Multi-Agent Collaboration?
    AWS Bedrock Multi-Agent Collaboration is a managed service feature that enables you to orchestrate multiple AI agents powered by foundation models to work together on complex tasks. You configure agent personas with specific roles, define messaging schemas for communication, and set shared memory for context retention. During execution, agents can request data from downstream sources, delegate subtasks, and aggregate each other's outputs. This collaborative approach supports iterative reasoning loops, improves task accuracy, and allows dynamic scaling of agents based on workload. Integrated with AWS console, CLI, and SDKs, the service offers monitoring dashboards to visualize agent interactions and performance metrics, simplifying development and operational oversight of intelligent multi-agent workflows.
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