ShadowGit

ShadowGit solves the critical context gap inherent in AI coding assistants by providing them with a complete, continuous memory of your recent development history. It automatically captures every code change you make, transforming your AI from a guessing assistant into a truly knowledgeable collaborator. Designed for professional developers relying on tools like Claude Code and Cursor, ShadowGit dramatically accelerates debugging, saves tokens, and enables fearless experimentation.

Key Features

ShadowGit operates invisibly in the background, ensuring your AI has everything it needs while maintaining your standard workflow and code integrity.

🧠 AI Perfect Memory via MCP

Your AI assistant remembers everything automatically, eliminating the need to repeatedly explain your application structure or recent changes. ShadowGit feeds detailed, granular code history to AI tools using the Model Context Protocol (MCP), allowing the AI to search what changed instead of starting every conversation from zero.

💾 Automatic, Granular Code Snapshots

Every time you save a file, ShadowGit automatically captures a snapshot, creating granular checkpoints (like auto-save for code, happening every 15 seconds). Unlike relying solely on manual Git commits, this ensures that even if an AI suggestion breaks your code instantly, you haven't lost the hours of work completed since your last commit.

⚡ Instant Debugging and Token Efficiency

ShadowGit enables the AI to find and fix bugs in seconds. Instead of having the AI re-read thousands of lines of static code, the AI runs efficient git diff commands against the captured history. This capability allows the AI to pinpoint the exact problem line instantly, reducing debugging cycles and saving significant token costs.

🛡️ Fearless Experimentation and One-Click Restore

When working on complex features or accepting ambitious AI suggestions, the risk of destroying hours of work is high. ShadowGit provides a one-click restore function, allowing you to instantly revert to any previous working state captured in the automatic history. You can accept bold AI suggestions without fear of losing progress.

🔒 100% Local and Secure

Security is paramount. ShadowGit ensures your code history never leaves your computer. The system runs entirely locally, and the MCP server grants AI tools only read-only access to your history, ensuring complete privacy and control over your intellectual property.

Use Cases

ShadowGit seamlessly integrates into your development lifecycle to deliver immediate, tangible benefits.

Fixing AI-Introduced Regressions

Imagine your AI assistant suggests a large refactoring that initially seems promising but introduces a subtle, difficult-to-trace bug five minutes later. Instead of manually backtracking or trying multiple expensive AI prompts to diagnose the issue, you simply instruct the AI. Because ShadowGit provided the complete history of changes, the AI instantly runs a diff, identifies the exact lines that caused the regression, and restores the working code instantly, turning a potential hour-long headache into a seconds-long fix.

Maintaining Context Across Sessions

You switch tasks and return to a complex feature you were developing yesterday. Your current AI chat session is gone. Without ShadowGit, you would spend 10–15 minutes re-explaining the recent files and structure to the new session. With ShadowGit, the AI automatically queries the history, instantly grasping the context, recent file modifications, and current structural state, allowing you to resume development immediately without costly re-explanations.

Granular Code Recovery Without Committing

You are in the middle of a complex implementation—you know the code is messy, and you're not ready to commit to your main repository. Suddenly, a power outage or system crash occurs. Because ShadowGit automatically saves every file change every 15 seconds into its parallel repository, you return to find virtually zero lost progress, even though you hadn't manually committed anything to your main Git branch.

Why Choose ShadowGit?

ShadowGit provides functional value that standard Git workflows and basic AI integrations simply cannot match.

Token and Time Efficiency

While other methods require the AI to constantly re-read large files to maintain context, ShadowGit enables AI tools to use native git diff commands on the local history. This method saves thousands of tokens per session and dramatically reduces the latency and cost associated with providing context.

Non-Intrusive Workflow

ShadowGit runs invisibly, creating a separate, parallel .shadowgit.git repository. This architecture ensures that the high frequency of automated snapshots (capturing up to 240 changes per hour) never clutters your main project’s history, breaks your build systems, or interferes with your team’s established Git practices. Your main repo stays clean while your AI gets perfect context.

Uncompromised Security Model

Unlike cloud-based context solutions that require uploading your code history to external servers, ShadowGit is designed for high-security environments. All code history remains 100% local to your machine, and the MCP server only grants read-only access to the AI tools, ensuring your intellectual property is always protected.

Conclusion

ShadowGit eliminates the context blind spots that plague modern AI coding workflows, allowing developers to ship faster, experiment more boldly, and drastically reduce debugging time. By giving your AI continuous, perfect memory and ensuring automatic code safety, you stop explaining and start solving problems instantly.