PyGPT — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for PyGPT. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Feb 6, 2026 • Sentiment updated: Apr 8, 2026

GitHub Statistics

Community Sentiment

Community Buzz: One user on GitHub mentioned 'py-gpt - ⭐ 1.6k / Desktop AI Assistant powered by GPT-4, GPT-4 Vision, GPT-3.5, DALL-E 3, Langchain, Llama-index etc.', another user on Reddit said 'py - GPT blev tvunget til at skrive sin egen strafberegner'

Pros & Cons

What People Love

GPT capabilities, Ease of use, Customizability

Common Complaints

Security issues, Limited functionality

Biggest Positive: GPT capabilities

Biggest Negative: Security concerns

Why PyGPT Stands Out

PyGPT takes a unique approach to building a desktop AI assistant by combining multiple LLMs and plugins to automate research and writing tasks. Unlike other chatbots, PyGPT's LlamaIndex support and image generation capabilities enable chat with files and data, making it a powerful tool for multi-modal interactions. Additionally, PyGPT's speech synthesis and recognition capabilities enable voice control and translation of on-screen actions, making it accessible to visually impaired users. Overall, PyGPT's modular architecture and plugin support make it a valuable tool for building custom AI applications.

Built With

Build a language model that generates 1000-word essays on demand — PyGPT chains multiple LLMs and plugins to automate research and writing tasks, Build a conversational AI assistant for visually impaired users — PyGPT's speech synthesis and recognition capabilities enable voice control and translation of on-screen actions, Build a multi-modal chatbot that integrates vision and language models — PyGPT's LlamaIndex support and image generation capabilities enable chat with files and data, Build a research agent that reads 50 papers and writes a literature review — PyGPT's file I/O and web search capabilities enable automated search and extraction of relevant papers, Build a code generation tool that suggests solutions to common programming problems — PyGPT's code interpreter and plugin support enable automated code generation and testing

Getting Started

  1. pip install pygpt-net
  2. pip install -U llama-index
  3. pygpt --version
  4. pygpt --preset load default
  5. try running 'pygpt --preset run chat' to verify it works

About

Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac

Official site: https://pygpt.net

Category & Tags

Category: social

Tags: ai, ai-assistant, artificial-intelligence, autonomous-agent, chatbot, claude, deepseek, desktop-app, gemini, gpt-4, gpt-5, grok, llama-index, llm, mcp, o1, ollama, openai, perplexity, sora2

Market Context

Competing with other AI assistants