PyGPT

PyGPT — Free Download. Desktop AI assistant

PyGPT is an all-in-one desktop AI assistant that provides direct interaction with OpenAI language models, including GPT-5, GPT-4, o1, o3 and more, through the OpenAI API. By utilizing other SDKs and LlamaIndex, the application also supports alternative LLMs, like those available on HuggingFace, locally available models via Ollama (like gpt-oss, Llama 3, Mistral, DeepSeek V3/R1 or Bielik), and other models like Google Gemini, Anthropic Claude, Perplexity / Sonar, and xAI Grok. The assistant offers multiple modes of operation such as chat, assistants, agents, completions, and image-related tasks like image generation and image analysis.

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Download PyGPT (Official links)
File size: 677 MB
The latest version of PyGPT is: 2.9.1
Operating system: Windows, Mac OS, Linux
Languages: English
Developer: Marcin Szczygliński
Price: $0.00 USD (Free product)
  • Multi-Model Support. PyGPT connects to OpenAI API models like GPT-5, GPT-4, o1 and o3. Additionally, the application integrates with alternative large language models through SDKs and LlamaIndex. Supported sources include HuggingFace, Ollama for local models such as Llama 3, Mistral, DeepSeek V3/R1, Bielik, plus cloud-based models like Google Gemini, Anthropic Claude, Perplexity / Sonar and xAI Grok.
  • Multiple Operation Modes. The program provides several distinct interaction modes. Users can select standard chat, specialized assistants, autonomous agents, raw text completions, vision analysis and image generation. Each mode adjusts the internal processing flow to match the selected task type, enabling direct comparison between different AI workflows within a single desktop interface.
  • File System Integration. PyGPT includes filesystem capabilities for direct file input and output. The assistant can read files from local storage, write generated content to specified locations, and manage file transfers between the conversation context and the host system. This function extends the AI beyond text-only responses by providing operational access to user documents and directories.
  • Code Execution Engine. The application can generate Python code and execute it in a controlled runtime. Users may request scripts for data processing, automation, or calculations, and the assistant runs the resulting code immediately. System command execution is also supported, allowing the AI to perform operating system tasks that the user explicitly authorizes.
  • Web Search Capabilities. PyGPT enables models to perform real-time web searches through DuckDuckGo, Google and Microsoft Bing integrations. The assistant retrieves current information from the internet and incorporates the results into its responses, expanding the knowledge base beyond the model's training data cutoff.
  • Speech Synthesis. Audio output is provided through speech synthesis services from Microsoft Azure, Google Cloud, Eleven Labs and OpenAI Text-To-Speech. The assistant converts generated text responses into natural-sounding audio, enabling hands-free interaction and accessibility for users who prefer auditory feedback.
  • Speech Recognition. PyGPT includes speech recognition powered by OpenAI Whisper, Google and Bing. The application transcribes spoken commands and audio inputs into text, allowing voice-driven conversations with the AI. This feature supports dictation, verbal queries and audio file transcription.
  • Context Memory Management. The assistant features persistent context memory with save and load functionality. Users can store conversation states at specific points and resume interactions from those predefined markers. This mechanism preserves important context across sessions, eliminating the need to repeat background information.
  • Preset System for Prompts. Prompt creation and management are handled through a structured preset system. Users define reusable configurations for model parameters, system instructions and interaction templates. Switching between different presets adjusts the assistant's behavior and output style without manual reconfiguration.
  • Plugin Architecture. PyGPT supports plugin extensions for custom functionality. Multiple plugins are included by default, and additional modules can be integrated to expand the application's capabilities. This architecture allows third-party developers to add new tools, connectors and processing pipelines.
  • Chat with Files via LlamaIndex. The application incorporates LlamaIndex to enable document-based conversations. Users can load files into the system, and the assistant retrieves relevant information from the indexed content during discussions, providing grounded responses based on user-provided data.
  • Vision and Image Analysis. PyGPT includes multi-modal capabilities for image understanding. The assistant processes visual inputs, identifies objects and patterns, and provides descriptive or analytical responses. Image generation is also available through supported models, producing visual content from text prompts.
  • External API Calls. The program can execute external API calls as part of its operation. Custom commands interact with third-party services, retrieve data or trigger remote processes, extending the assistant's reach beyond built-in integrations.
  • Command Execution and Automation. PyGPT manages custom commands and system-level operations. Users define sequences that the assistant performs automatically, including file operations, script execution and service interactions. This function supports daily assisting tasks and system automation workflows.

PyGPT serves as a consolidated AI workspace that links numerous language models through one local interface. The program concentrates on direct model access rather than cloud intermediaries, keeping interactions on the user's machine. Core operations include text chat, document analysis, code generation and image processing. The application stores configuration locally, and users control which model receives each request. This structure supports offline workflows for local models via Ollama while still offering connections to commercial APIs. The assistant provides structured modes for distinct tasks. Chat mode handles conversational exchanges. Agents mode executes multi-step operations. Vision mode processes images. The filesystem integration allows the AI to reference and modify local files during conversations. Speech recognition and synthesis turn the application into a voice-capable assistant. Preset configurations determine response style and model parameters, enabling rapid switching between different AI behaviors without altering the underlying code. PyGPT operates as a self-contained desktop tool focused on model orchestration and local execution. The application supports plugin development for custom extensions, giving technical users a path to add new capabilities. Its codebase is available for inspection and modification, while binary releases provide standard installation packages. The program's development timeline spans from 2023 to the present, with versioned releases marking incremental improvements in model compatibility, audio features and execution stability.

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