Openlayer 记录了 48,415 月访问量,月度环比增长为 -6.4%,定价为免费增值,定价请咨询。VS Code 记录了 7,397,370 月访问量,增长率为 -3.8%,定价为免费增值。
Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | openlayer.com | code.visualstudio.com |
| 定价模式 | 免费增值,定价请咨询 | 免费增值 |
| 月访问量 | 4.84万 (48,415) | 739.74万 (7,397,370) |
| 月度环比流量变化 | -3303 (-6.4%) | -28.88万 (-3.8%) |
| 主要市场与份额 | 🇺🇸 美国 (44.1%) | 🇺🇸 美国 (18.9%) |
| 直接访问 / 月 | 2.59万 | 217.15万 |
| 用户评分 | 4.4 | 4.8 |
| 支持的平台 | 网站 | 网站 |
Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.

精准书写代码,把更大的任务交给智能体,随时随地继续工作
智能体会打开代码仓库、制定计划、修改多个文件并解释改动,让你在接受前逐条审查差异。也可以并行运行多个智能体,推进积压任务。
可接入 Anthropic、OpenAI、Google、Microsoft 或开放权重模型,也可自带密钥。选择最契合你工作方式的 Copilot、Claude 或 Codex 框架。
JavaScript、TypeScript、HTML 和 CSS 开箱即用,市场扩展还能为 Python、Java、C++、Go、Rust 等语言补齐智能提示、检查、重构与调试能力。
集成终端、源代码管理、调试器、测试、Jupyter 笔记本、内置浏览器和 Dev Containers 都在同一个窗口内,让你始终贴近代码。

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专项更强Mindgard is an AI security platform that performs attacker-style reconnaissance, automated red teaming, and continuous testing of AI models, agents, and applications to find and fix exploitable vulnerabilities.