VibeGuard

VibeGuard

Open-source MITM proxy that redacts sensitive data from AI coding assistants

69/100MonitorFreeFree

VibeGuard elegantly plugs a real privacy gap for AI-assisted coding. Its zero-config setup and process-level proxy make it a must-try for developers concerned about leaking sensitive data. Free, open-source, and dead simple to use.

Best for
  • Developers using AI coding assistants to protect proprietary code or API keys
  • Privacy-conscious individuals wanting to avoid leaking sensitive data to AI APIs
  • Teams needing a lightweight, zero-friction privacy layer without complex DLP tools
  • Open-source enthusiasts looking for a transparent, auditable privacy solution
Not ideal for
  • Users requiring enterprise DLP with centralized policy management and reporting
  • Non-developers who don't use AI coding assistants or command-line tools
  • Those needing to redact data in non-coding contexts (e.g., email, chat, docs)
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IntermediateCLI · DesktopNo public APIVerified 14d ago
Pricing
Free
FreeFree tier
Learning curve
Intermediate
Runs on
CLIDesktop
No public API · 5 integrations
Integrates with
ClaudeCursorCodexGPTGemini
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In short

VibeGuard — Open-source MITM proxy that redacts sensitive data from AI coding assistants. Best for Developers using AI coding assistants to protect proprietary code or API keys, Privacy-conscious individuals wanting to avoid leaking sensitive data to AI APIs, Teams needing a lightweight, zero-friction privacy layer without complex DLP tools. Free to use.

Viability Score

69/100
Monitor

How likely is VibeGuard to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
40
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Zero-config out-of-the-box defaults
  • Process-level proxy for targeted apps (Claude, Cursor, Codex)
  • Hot-reload rule editing via admin UI
  • Encrypted storage of keyword-to-placeholder mappings
  • Multi-layer detection: rule lists, keyword matching, regex, NER
  • Real-time audit log and visual analytics in admin dashboard
  • One-line install for macOS, Linux, and Windows
  • Built-in process launcher (vibeguard claude / cursor / codex)
  • Automatic CA certificate trust setup
  • Automatic redaction and restoration in API requests/responses
  • Supports multiple AI coding assistants (Claude, Cursor, Codex, GPT, Gemini)
  • Open-source under Apache License 2.0
  • Local execution with no external data collection
  • Simple uninstall command with purge option

About VibeGuard

FreeIntermediateNo APICLI · Desktop

VibeGuard is an open-source MITM (man-in-the-middle) proxy designed for developers who use AI coding assistants like Claude, Cursor, or Codex but worry about sending sensitive data (API keys, IP addresses, project names) to external AI APIs. It sits between your IDE and the AI API, intercepting requests, redacting sensitive information on-the-fly using rule lists, keyword matching, regex, and optional NER, then restoring the original data in responses—all without manual prompt editing. Targeted at developers who value privacy without sacrificing productivity, VibeGuard requires zero configuration out of the box. It operates at the process level, meaning it only intercepts traffic from specified processes (e.g., Claude, Cursor) and leaves the rest of your system untouched. Changes to redaction rules can be made via a built-in admin dashboard with instant hot-reload, and all keyword-to-placeholder mappings are encrypted at rest using your local CA key. VibeGuard offers one-line install on macOS/Linux and Windows, a single command to start and trust the CA certificate, and a process launcher (e.g., `vibeguard claude`) that automatically routes your AI tool through the proxy. The entire project is Apache 2.0 licensed and community-driven. VibeGuard does not collect or store any data itself—it only transforms data in transit, running entirely locally with a transparent codebase. It is not a replacement for enterprise DLP solutions but a lightweight, developer-first privacy layer for AI coding workflows.

Behind the Verdict

VibeGuard solves an increasingly common problem: how to use AI coding assistants without exposing proprietary code or credentials. The MITM approach is clever—it intercepts outgoing requests to AI APIs, redacts sensitive fields like API keys and IPs, and then restores the original data when the response comes back. The integration with specific processes (Claude, Cursor, Codex) means your browser and other apps remain untouched. The zero-config promise holds true: install with one command, run `vibeguard claude`, and the proxy works automatically. The admin dashboard is a nice touch for tweaking rules on the fly, and the hot-reload means no restarting. The encrypted storage of mappings adds a layer of security. However, VibeGuard isn't a universal privacy tool—it's narrowly focused on AI coding assistants. If you need to redact data from other contexts (email, chat, etc.), look elsewhere. The NER detection is optional and may require additional setup. Also, as a local proxy, it does add some latency, though likely negligible. Compared to enterprise DLP solutions, VibeGuard is far simpler but lacks centralized management, policy enforcement, and reporting. It's perfect for individual developers and small teams who want quick, transparent privacy without the overhead of a full security stack. In practice, we'd reach for VibeGuard when onboarding a new AI coding tool and want to avoid manually scrubbing prompts. It's also great for open-source projects where code security is paramount. But for large organizations with compliance requirements, it's a complementary tool, not a replacement.

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Use Cases

Models Under the Hood

ClaudeGPTGemini

as of 2026-07-18

Limitations

  • VibeGuard currently only supports macOS, Linux, and Windows (PowerShell).
  • It requires local CA certificate trust which may conflict with corporate security policies.
  • The proxy only intercepts traffic from explicitly launched processes, so tools not started via its launcher won't be protected.
  • NER-based detection is optional and may require additional compute resources.

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