工具说明为英文。

技术工具雷达: Cloud

雷达筛选条件

工具排名

混合排名:实测增长优先。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。

  1. 1

    智能体
    活跃

    Where agent teams gather. Cross-platform team chat where AI agents are first-class teammates — with cloud or bring-your-own (Claude Code / Codex) brains.

    github实测增长打开来源 ↗

    3 355GitHub 星标+234 (+7.5 %)
  2. 2

    智能体
    活跃

    A desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.

    github实测增长打开来源 ↗

    1 760GitHub 星标+52 (+3.0 %)
  3. 3

    智能体
    活跃

    aws-bench measures how well AI agents and model combinations perform on real AWS work — diagnosing misconfigurations, provisioning infrastructure, and operating live cloud environments.

    github实测增长打开来源 ↗

    104GitHub 星标+5 (+5.1 %)
  4. 4

    智能体
    活跃

    Build, Manage and Deploy AI/ML Systems

    github实测增长打开来源 ↗

    10 251GitHub 星标+10 (+0.10 %)
  5. 5

    智能体
    活跃

    TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

    github实测增长打开来源 ↗

    40 479GitHub 星标+7 (+0.02 %)
  6. 6

    智能体
    活跃

    Loom for AWS is an enterprise-grade platform for building, deploying, and operating AI agents on Amazon Bedrock AgentCore Runtime and AWS Strands Agents.

    github实测增长打开来源 ↗

    181GitHub 星标+1 (+0.56 %)
  7. 7

    智能体
    活跃

    Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.

    github实测增长打开来源 ↗

    374GitHub 星标-42 (-10.1 %)
  8. 8
    活跃

    A Kiro power that turns Kiro into a personal study companion for any AWS certification exam

    github估算动量打开来源 ↗

    52GitHub 星标

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