Patched is an open-source framework designed to automate IT and development workflows. It leverages AI to proactively catch and fix issues like bugs and vulnerabilities before they impact users. The platform allows for creating custom, agentic workflows to streamline tasks such as code review, documentation generation, and dependency updates.

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Added on: 2025-08-03
Price Type Freemium
Monthly Traffic: 4.0K

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Patched Overview

Patched is a powerful, open-source framework dedicated to automating and enhancing the software development lifecycle (SDLC). Built on its core framework, Patchwork, Patched provides developers, IT, and security teams with AI-driven tools to proactively identify, triage, and resolve issues within their codebase. The platform's primary goal is to catch and patch problems like software bugs and security vulnerabilities before they reach end-users, thereby reducing costs, improving service level agreements (SLAs), and freeing up developers to focus on building new features.

At its heart, Patched utilizes 'Patchflows'—customizable, agentic workflows that automate complex tasks. Users can leverage pre-built patchflows or create their own to suit specific needs. This flexibility makes Patched a versatile solution for a wide range of development and operational challenges.

How to use Patched

Using Patched involves a streamlined, multi-step process that integrates directly into existing development environments. The typical workflow for automated fixing is as follows:

  1. Connect Your Repository: Integrate Patched with your code repositories on platforms like GitHub or GitLab.
  2. Define a Workflow (Patchflow): Choose a ready-to-go patchflow (e.g., for vulnerability scanning or documentation) or create a new one. This can be done using a no-code visual builder, text prompts, or directly with Python code for maximum control.
  3. Automated Scanning: The patchflow initiates a scan of the code. For instance, it can use integrated tools like Semgrep to detect vulnerabilities, outputting the results in a standardized format like SARIF.
  4. AI-Powered Triage: The system uses Large Language Models (LLMs) to analyze the scan results. It triages potential issues, filtering out false positives by examining the code context and vulnerability details.
  5. Automatic Patch Generation: For confirmed issues, the AI generates a code fix. It analyzes the affected code and provides a precise patch designed to resolve the vulnerability while preserving original functionality and code style.
  6. Compatibility Check & PR Creation: Before finalizing, Patched assesses the impact of the change to avoid compatibility issues. Based on user-configured rules, it can then automatically create a pull request with the generated fix, ready for review and merging.

Core Features of Patched

  • Automated Bug & Vulnerability Fixing: Proactively scans, identifies, and generates patches for security vulnerabilities and software bugs using advanced LLMs.
  • Customizable 'Patchflows': Build, modify, and deploy automated workflows using no-code, low-code, or full-code (Python) options to perfectly match your team's processes.
  • Privacy-First Architecture: The open-source Patchwork framework can be self-hosted within your own infrastructure, using your own LLM API keys for complete data privacy and control.
  • Automatic Documentation Generation: Includes tools like 'GenerateREADME' to automatically create and update documentation for your code repositories, enhancing maintainability.
  • Seamless SDLC Integration: Offers extensive integrations with popular development tools, including GitHub, GitLab, Jira, SonarQube, Semgrep, and various LLM providers like OpenAI, Anthropic, and Mistral.
  • AI-Powered Code Review & Analysis: Automates parts of the code review process, provides instant feedback, and helps improve overall code quality.

Use Cases for Patched

For Development Teams: Automate the fixing of common bugs and quality issues, reducing the time spent on maintenance. Automatically generate and update README files and other documentation to keep the codebase maintainable.

For Security Teams (SecOps): Implement a proactive 'AutoFix' system to continuously scan for and remediate vulnerabilities. Triage alerts with AI to focus on real threats and reduce alert fatigue.

For DevOps Engineers: Integrate AI-powered checks directly into CI/CD pipelines. Automate dependency updates and troubleshoot system issues to improve release velocity and system reliability.

Advantages of Patched

The primary advantage of Patched is its combination of power and flexibility. Unlike closed-box solutions, its open-source and customizable nature allows teams to build the exact AI assistance they need. The ability to self-host ensures maximum security and privacy, a critical factor for many organizations. By automating repetitive and time-consuming tasks, Patched unburdens developers, boosts release velocity, and enhances the long-term maintainability of software projects.

Pricing and Plans

Patched offers a usage-based pricing model with a generous free tier, making it accessible for individuals and teams of all sizes.

  • Free Plan: $0/month. Includes access to all patchflows via the App and CLI, with a limit of 5 Patchflows per month.
  • Pro Plan: Starting at $99/month. Includes all features from the Free plan, with an increased limit of 200 Patchflows per month.
  • Enterprise Plan: Custom pricing. Offers all features of the Pro plan, plus unlimited patchflows, dedicated support, and tailored solutions. Contact sales for a quote.

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PatchedWebsite Traffic Analysis

Latest Traffic

Monthly Visits 4.0K
Average Visit Duration 0:47
Pages per Visit 1.99
Bounce Rate 40.7%

Status

Down -43.5% vs Last Month
Data updated on 2026-05-25

Monthly Traffic Trend

Geography

Top 5 Countries/Regions

  • 🇺🇸 United States
    55.69%
  • 🇮🇳 India
    22.31%
  • 🇹🇷 Turkey
    13.90%
  • 🇩🇪 Germany
    8.10%

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