Is Jev just one of a hundred provider integrations here?

Roughly. pyGPT is a broad desktop assistant: LlamaIndex RAG, an MCP connectors manager, web search, computer use, image and video generation, multi-agent runtimes, and dozens of plugins. The Jev / System One inline plugin is one optional entry among them, for routing, candidate selection, verification, and scoring.

Do I have to turn on the global Tools switch for Jev to work?

No, the Jev plugin is independent of the global Tools switch, so it can be the only decision provider you enable.

Will it install cleanly on a Mac?

Not from a prebuilt package: those exist for Windows as an MSI and for Linux as an archive needing GLIBC 2.35 or newer. On macOS you go through PyPI or a source checkout, and Python must be 3.10 up to but not including 3.14.

What licence is this actually under?

GitHub reports NOASSERTION for the repository, so the terms are not stated in the metadata this listing recorded. Check the LICENSE file in the repo before you build on it.

What platforms and Python range does PyGPT support?

It is a desktop AI assistant for Linux, Windows, and macOS written in Python, requiring Python >=3.10 and <3.14. The current release is 2.9.1, build 2026-10-06.

How do I install PyGPT?

Prebuilt 64-bit packages for Windows (MSI) and Linux (needs GLIBC >= 2.35), the Microsoft Store, the Snap Store with sudo snap install pygpt, an AppImage, or pip with pip install pygpt-net then pygpt. macOS uses the PyPI or source installation.

Whose API keys does it use?

Your own provider keys. Cloud providers use your credentials, local models through Ollama need no external key, and additional credentials may be required for specific providers and integrations.

CommunityJev Tools & CLIs

pyGPT

Q: How do I install PyGPT?

Prebuilt 64-bit packages for Windows (MSI) and Linux (needs GLIBC >= 2.35), the Microsoft Store, the Snap Store with sudo snap install pygpt, an AppImage, or pip with pip install pygpt-net then pygpt. macOS uses the PyPI or source installation.

A desktop AI assistant with a Jev / System One inline plugin for classification, routing, verification, and scoring without chat-style output.

See highlights

Open github.com

Stars: 2k
Language: Python
Published by: Community
Author: szczyglis-dev
Last verified: Oct 2026

szczyglis-dev/py-gpt

User repository on GitHub

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Desktop AI Assistant powered by GPT-6, GPT-5, Gemini, Claude, Grok, Ollama, DeepSeek, Perplexity, and more - chat, agents, tools, MCP, plugins, RAG, vision, voice, image and video generation, speech synthesis and speech recognition, web search, memory, presets, canvas, assistants, themes, computer use. Windows, Linux, and Mac.

Forks: 351
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Release: 2.9.1 | build: 2026-10-06 | Python: >=3.10, Official website: pygpt.net | Documentation | Add-ons | Discord. PyGPT is an open-source desktop AI assistant for Linux, Windows and macOS. It supports models from OpenAI (GPT-6 Astra, GPT-5.6, GPT-4, etc.), Google Gemini, Anthropic Claude, xAI Grok, Perplexity / Sonar, DeepSeek, plus models available through HuggingFace, LlamaIndex, OpenAI-compatible APIs, and local Ollama installations such as DeepSeek, Qwen, gpt-oss, Gemma, Mistral, Llama, and others.

Quoted from the project's README. Read the full README.

Tagscommunity python desktop plugins

Works forJev for Classification Jev for Routing Jev for Scoring Jev for Verification

Used inJev for Software & DevTools

Languages: Python
Platforms: CLI
Capabilities: Requires API key

Highlights

README documents a Jev / System One (inline) plugin using TypeSafe for bounded semantic decisions.
Describes Choice, Score, and Noul-style uses for routing, candidate selection, and verification inside tool workflows.
Runs on Windows, Linux, and macOS with many LLM backends; the Jev plugin is independent of the global Tools switch.

Watch out

License NOASSERTION on GitHub. Desktop app surface is broad; Jev is one optional inline plugin among many providers.

Questions about this entry

Short answers drawn from the linked project or page.

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