--- title: "kalliope vs py-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kalliope-project-kalliope-vs-szczyglis-dev-py-gpt" tools: ["kalliope-project-kalliope", "szczyglis-dev-py-gpt"] --- # kalliope vs py-gpt *GraphCanon updated Aug 14, 2026* ## Verdict Pick kalliope if kalliope is an open-source Python framework designed for the development of customizable personal assistants, featuring robust speech recognition and synthesis capabilities; pick py-gpt if pyGPT is a versatile desktop AI assistant that integrates multiple large language models and offers extensive capabilities ranging from chat support to speech synthesis and image generation. [kalliope](https://kalliope-project.github.io/) reports 1.8k GitHub stars, 231 forks, and 27 open issues, last pushed Jul 2, 2023. [py-gpt](https://pygpt.net) has 1.9k stars, 334 forks, and 54 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [kalliope's repository](https://github.com/kalliope-project/kalliope) and [py-gpt's repository](https://github.com/szczyglis-dev/py-gpt). | | [kalliope](/tools/kalliope-project-kalliope.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Tagline | A framework for creating personal assistants | Desktop AI Assistant powered by multiple LLMs and various functionalities | | Stars | 1,768 | 1,880 | | Forks | 231 | 334 | | Open issues | 27 | 54 | | Language | Python | Python | | Adopt for | Kalliope is an open-source Python framework designed for the development of customizable personal assistants, featuring robust speech recognition and synthesis capabilities. | PyGPT is a versatile desktop AI assistant that integrates multiple large language models and offers extensive capabilities ranging from chat support to speech synthesis and image generation. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Other | | Categories | AI Agents, Speech & Audio | AI Agents, Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [kalliope](/tools/kalliope-project-kalliope.md) | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1124d | 0d | | Open issues (now) | 27 | 54 | | Owner type | Organization | User | | Full report | [trust report](/tools/kalliope-project-kalliope/trust.md) | [trust report](/tools/szczyglis-dev-py-gpt/trust.md) | ## Decision facts: kalliope - **Adopt for:** Kalliope is an open-source Python framework designed for the development of customizable personal assistants, featuring robust speech recognition and synthesis capabilities. ## Decision facts: py-gpt - **Requirements:** PyGPT can operate with a local model (Llama3) without an internet connection or OpenAI API key.; Operating PyGPT may be computationally intensive based on the specific plugins and integrations used. - **Adopt for:** PyGPT is a versatile desktop AI assistant that integrates multiple large language models and offers extensive capabilities ranging from chat support to speech synthesis and image generation. ## Choose when ### Choose kalliope if… - License: kalliope is GPL-3.0, py-gpt is Other. - Tags unique to kalliope: bot-creation, personal-assistant, speech-synthesis. - If you need to create a personal assistant with speech interaction capabilities on a Linux environment, especially using Raspberry Pi platforms. ### Choose py-gpt if… - License: py-gpt is Other, kalliope is GPL-3.0. - Requirements: PyGPT can operate with a local model (Llama3) without an internet connection or OpenAI API key.; Operating PyGPT may be computationally intensive based on the specific plugins and integrations used.. - Tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, custom-plugins. - Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training. - You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ## When NOT to use kalliope - In case proprietary or permissive licensing is required as Kalliope operates under GNU General Public License v3.0. - For projects lacking a Linux environment, particularly if hardware such as Raspberry Pi is not preferred or suitable for your needs. ## When NOT to use py-gpt - Your environment lacks consistent internet connectivity since PyGPT relies on it for API connections with some of its models like GPT-5, GPT-4. - The project requires a proprietary model that is not supported or easily integrated without significant development efforts into PyGPT's framework. - You cannot obtain an OpenAI API key, which is needed to utilize certain language models like Claude and Gemini included in the tool. ## Common questions ### What is the difference between kalliope and py-gpt? kalliope: A framework for creating personal assistants. py-gpt: Desktop AI Assistant powered by multiple LLMs and various functionalities. See the comparison table for live GitHub stats and shared categories. ### When should I choose kalliope over py-gpt? Choose kalliope over py-gpt when License: kalliope is GPL-3.0, py-gpt is Other; Tags unique to kalliope: bot-creation, personal-assistant, speech-synthesis; If you need to create a personal assistant with speech interaction capabilities on a Linux environment, especially using Raspberry Pi platforms. ### When should I choose py-gpt over kalliope? Choose py-gpt over kalliope when License: py-gpt is Other, kalliope is GPL-3.0; Requirements: PyGPT can operate with a local model (Llama3) without an internet connection or OpenAI API key.; Operating PyGPT may be computationally intensive based on the specific plugins and integrations used.; Tags unique to py-gpt: ai-assistant, autonomous-agent, chatbot, custom-plugins; Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training; You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ### When should I avoid kalliope? In case proprietary or permissive licensing is required as Kalliope operates under GNU General Public License v3.0. For projects lacking a Linux environment, particularly if hardware such as Raspberry Pi is not preferred or suitable for your needs. ### When should I avoid py-gpt? Your environment lacks consistent internet connectivity since PyGPT relies on it for API connections with some of its models like GPT-5, GPT-4. The project requires a proprietary model that is not supported or easily integrated without significant development efforts into PyGPT's framework. You cannot obtain an OpenAI API key, which is needed to utilize certain language models like Claude and Gemini included in the tool. ### Is kalliope or py-gpt more popular on GitHub? py-gpt has more GitHub stars (1,880 vs 1,768). Stars measure visibility, not whether either tool fits your constraints. ### Are kalliope and py-gpt open source? Yes - both are open-source projects on GitHub (kalliope: GPL-3.0, py-gpt: Other). ### Where can I find alternatives to kalliope or py-gpt? GraphCanon lists graph-backed alternatives at [kalliope alternatives](/tools/kalliope-project-kalliope/alternatives) and [py-gpt alternatives](/tools/szczyglis-dev-py-gpt/alternatives) ([kalliope markdown twin](/tools/kalliope-project-kalliope/alternatives.md), [py-gpt markdown twin](/tools/szczyglis-dev-py-gpt/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kalliope-project-kalliope-vs-szczyglis-dev-py-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, kalliope or py-gpt? kalliope: Dormant. py-gpt: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for kalliope and py-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kalliope trust report](/tools/kalliope-project-kalliope/trust); [py-gpt trust report](/tools/szczyglis-dev-py-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kalliope-project-kalliope`](/api/graphcanon/graph?tool=kalliope-project-kalliope) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_