Privy

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Privy is an open-source coding & development tool that provides an alternative to GitHub Copilot. It offers real-time code completion and AI chat capabilities, running entirely on your local machine.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is privy?

Privy is an open-source alternative to GitHub Copilot designed for local execution, ensuring privacy and control over your code. It provides real-time code completion and allows developers to chat with AI about their code directly within their development environment. Privy supports various local LLM platforms, including Ollama (highly recommended), llamafile, and llama.cpp, giving users flexibility in choosing their preferred model. Key features include auto code completion, a Copilot-style chat interface, and threaded conversations. It also supports advanced functionalities like code explanation, unit test generation, bug finding, and error diagnosis. Users can configure Privy with recommended LLMs such as DeepSeek Coder, CodeLlama, and Mistral, tailoring the model size to their hardware capabilities.

Best used for

Ideal for developers who need to enhance their coding efficiency, debug issues, and understand complex code without relying on cloud-based AI services. Especially valuable for those prioritizing privacy and wanting to run AI code assistance models directly on their local hardware.

Common actions

generate code

debug code

explain code

write unit tests

autocomplete code

automated workflowopen-sourcedeepfakelow-code/no-codecollaborationworkflowsface swappinggithub copilot"AI Agents"

Capabilities

Key features

Real-time code completion
AI code chat
Local LLM support
Code explanation
Unit test generation
Bug finding

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What local LLM platforms does Privy support?

Privy primarily supports Ollama, which is highly recommended for running large language models locally. It also offers experimental support for llamafile and llama.cpp, providing flexibility for users to choose their preferred local LLM environment.

Can Privy help with debugging and understanding code?

Yes, Privy offers robust features for debugging and code comprehension. Users can leverage the AI chat to find bugs, diagnose errors, and receive explanations for code snippets, making it a valuable tool for improving code quality and understanding.

What are the recommended LLMs for Privy?

For code completion, DeepSeek Coder (1.3b, 6.7b, or 33b base models) is recommended. For chat, DeepSeek Coder (instruct models), CodeLlama (7b, 13b, or 34b instruct models), and Mistral (7b instruct model) are suggested, with model size depending on hardware.

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