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VE

vercel-labs/deepsec

AI Agent

Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents

6.1k Stars352 Forks48 Open Issues6.1k WatchersTypeScriptApache-2.0
AI Agent
Source and compliance noteLast synced: Jul 21, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

vercel-labs/deepsec is tracked as a TypeScript project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 6.1k total stars, with +249 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Active; the latest push was 2 days ago, and the open issue queue is 48, about 0.79% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 352 forks and 6.1k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 249. Follow the original GitHub repository for final install, security, and release information.

Best For
  • TypeScript teams evaluating ecosystem-native tooling
  • use cases where recent maintenance matters
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

6.1k Stars

Reuse

352 Forks

Attention

6.1k Watchers

Maintenance

active

License

Apache-2.0

Open issues

48

Overview

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.

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

Quick Start
npx deepsec init
View on GitHub Project Homepage
Project Activity

83

Health Score

Active

Commit Activity

Apr 30, 2026

Created

Jul 19, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 21, 2026Jul 21, 2026
Community Health
352

Forks

48

Open

6.1k

Watchers

Owner
VE

vercel-labs

GitHub profile
Topics & Language
TypeScript
Ecosystem & Usage
GitHub Repository Project Website Search on npm
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License
Apache-2.0
CreatedApr 30, 2026
Last pushJul 19, 2026
Last syncedJul 21, 2026
Community Standards

✓

License

✓

Forked

✓ Active

Maintained

AI AnalysisAnalyzed by Git-Stars

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.

Full AI Analysis