Patchwork

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patchwork is an AI Agents & Automation tool that provides an agentic AI framework for enterprise workflow automation. It automates development tasks like PR reviews, bug fixing, and security patching using a self-hosted CLI agent and preferred LLMs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is patchwork?

patchwork is an open-source agentic AI framework designed for enterprise workflow automation, streamlining development tasks such as pull request reviews, bug fixing, and security patching. It operates via a self-hosted CLI agent and integrates with various large language models, including OpenAI, Google's Gemini, Groq, and Hugging Face models. Key components include reusable 'Steps' for atomic actions, customizable 'Prompt Templates' optimized for specific chores, and 'Patchflows' which are LLM-assisted automations combining steps and prompts. Patchflows can run locally or within CI/CD pipelines, offering out-of-the-box solutions for generating docstrings, auto-fixing vulnerabilities, and resolving issues. The framework supports open-source models and allows for flexible configuration through CLI arguments or YAML files, making it adaptable to diverse development environments.

Best used for

Ideal for developers and product managers who need to automate repetitive development tasks, integrate AI into their CI/CD pipelines, and streamline code maintenance. Especially valuable for teams looking to enhance productivity by automating PR reviews, bug fixing, and documentation generation.

Common actions

automate code reviews

fix code vulnerabilities

generate documentation

manage software development

integrate AI agents

face swappinggithub copilot"AI Agents"open-sourceworkflowslow-code/no-codedeepfakeautomated workflowcollaboration

Capabilities

Key features

Agentic AI framework
Automate development workflows
Self-hosted CLI agent
Supports multiple LLMs
Customizable prompt templates
Predefined patchflows
CI/CD integration

Target Audience

developerproduct managerstartup founder

Integrations

githubslack

Pricing & Plans

Open Source

Free

FAQs

What types of LLMs does patchwork support?

patchwork supports any OpenAI compatible endpoint, allowing integration with models from providers like OpenAI, Google (Gemini), Groq, and Hugging Face. It also enables the use of local models via tools like llama.cpp, ollama, vllm, or tgi for flexible deployment.

Can I create custom automations with patchwork?

Yes, patchwork is designed for extensibility. While it comes with predefined patchflows, you can create your own custom patchflows and steps. The framework provides instructions and even a chat assistant to help you build new automations tailored to your specific needs.

How does patchwork integrate into existing development workflows?

Patchflows can be run locally via the CLI or integrated directly into your CI/CD pipelines. This allows for seamless automation of tasks like PR reviews, code fixes, and dependency upgrades as part of your existing continuous integration and deployment processes.

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Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Also listed in

This tool also appears in

Coding & Development › Coding Agents Coding & Development › Open Source & Models Productivity & Business › Workflow Automation

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