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Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents
Git-Stars 是独立产品,不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成,依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。
vercel-labs/deepsec 被追踪为 TypeScript 项目,主要属于 AI Agent 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则,而不是复制项目文档。
增长检查:该仓库目前有 6.1k Star,今日 +249,本周 +0,本月 +0。这些窗口用于区分持续采用信号和短期曝光峰值。
维护检查:当前活跃度为 活跃;最近一次推送距今 2 天,未关闭 Issue 为 48,约占总 Star 的 0.79%。这只是采用信号,不替代工程尽调。
采用检查:352 Fork 和 6.1k Watcher 反映项目被复用和关注的程度。许可证信号:Apache-2.0。商业或内部使用前请核验许可证兼容性。
适用判断:当你需要「TypeScript 技术栈团队评估生态原生工具」时,这个项目更值得评估;如果「需要法律审查、安全审计或生产 SLA 保证」,则需要谨慎。
来源检查:Git-Stars 当前为这份报告保留了 2 个明确来源引用,近期增长信号为 249。最终安装、安全和版本信息仍应以原始 GitHub 仓库为准。
热度
6.1k 星标
复用
352 复刻
关注
6.1k 关注者
维护
active
许可证
Apache-2.0
未解决 Issue
48
deepsec is an agent-powered vulnerability scanner designed to run in your own infrastructure, optimized for on-demand review of all code in large-scale repositories. It surfaces hard-to-find issues that have been lurking in applications for a long time, using best models at maximum thinking levels. For large codebases, work fans out across worker machines in parallel, and interrupted runs can be resumed.
Key Features
- Uses best AI models at maximum thinking levels for deep vulnerability analysis. - Supports parallel distributed execution across Vercel Sandbox microVMs for large monorepos. - Resume capability: interrupted runs pick up where they left off, skipping already analyzed files.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
npx deepsec init83
健康评分
活跃
提交活跃度
Apr 30, 2026
创建于
Jul 19, 2026
最近提交
+0
今日增长
+0
7天增长
+0
30天增长
复刻
未解决
关注者
vercel-labs
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License
✓
Forked
✓ Active
Maintained
Problem Solved
Deepsec solves the problem of finding subtle, long-lurking vulnerabilities that traditional static analysis tools miss, by leveraging coding agents that deeply understand code context. It is optimized for large monorepos where manual review is impractical, and can resume interrupted scans.
Capabilities
Developers can build automated security audits for their entire codebase, integrate vulnerability scanning into CI/CD pipelines via `process --diff`, and create custom matchers for project-specific patterns. Real-world use cases include finding auth bypasses, injection flaws, and logic errors in web apps, with the ability to scale across distributed workers for massive repos.
Bottom Line
Deepsec is for teams with large, security-critical codebases who can afford high compute costs (thousands of dollars) and want deep, agent-driven vulnerability discovery. It should be avoided by small projects or those with limited budgets. The key trade-off is thoroughness vs. cost and runtime.