--- title: "py-gpt vs chipper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/szczyglis-dev-py-gpt-vs-tilmangriesel-chipper" tools: ["szczyglis-dev-py-gpt", "tilmangriesel-chipper"] --- # py-gpt vs chipper *GraphCanon updated Aug 25, 2026* ## Verdict 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; pick chipper if chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation. [py-gpt](https://pygpt.net) reports 1.9k GitHub stars, 334 forks, and 54 open issues, last pushed Aug 13, 2026. [chipper](https://chipper.tilmangriesel.com/) has 483 stars, 47 forks, and 6 open issues, last pushed May 19, 2026. Figures are from public GitHub metadata via [py-gpt's repository](https://github.com/szczyglis-dev/py-gpt) and [chipper's repository](https://github.com/TilmanGriesel/chipper). | | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | [chipper](/tools/tilmangriesel-chipper.md) | | --- | --- | --- | | Tagline | Desktop AI Assistant powered by multiple LLMs and various functionalities | AI interface for tinkerers using Ollama and Haystack RAG | | Stars | 1,880 | 483 | | Forks | 334 | 47 | | Open issues | 54 | 6 | | Language | Python | Python | | 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. | Chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio | AI Agents, Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [py-gpt](/tools/szczyglis-dev-py-gpt.md) | [chipper](/tools/tilmangriesel-chipper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 97d | | Open issues (now) | 54 | 6 | | Stars delta | Unknown | -1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/szczyglis-dev-py-gpt/trust.md) | [trust report](/tools/tilmangriesel-chipper/trust.md) | ## 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. ## Decision facts: chipper - **Adopt for:** Chipper is an AI interface tool for tinkerers that supports agentic-AI functionalities and LLM inference using Hugging Face models, including Phi4, with Haystack RAG for retrieval-augmented generation. - **License detail:** MIT - **Runtime:** unknown ## Choose when ### Choose py-gpt if… - License: py-gpt is Other, chipper is MIT. - 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, Model Training, Speech & Audio. - You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ### Choose chipper if… - License: chipper is MIT, py-gpt is Other. - Tags unique to chipper: agent, deepseek-chat, embedding, llm-inference. - When you require an environment that integrates with Ollama API. ## 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. ## When NOT to use chipper - When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities. - If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited. - For teams preferring frameworks or tools that do not support agentic-AI features found in Chipper. ## Common questions ### What is the difference between py-gpt and chipper? py-gpt: Desktop AI Assistant powered by multiple LLMs and various functionalities. chipper: AI interface for tinkerers using Ollama and Haystack RAG. See the comparison table for live GitHub stats and shared categories. ### When should I choose py-gpt over chipper? Choose py-gpt over chipper when License: py-gpt is Other, chipper is MIT; 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, Model Training, Speech & Audio; You need an integrated tool for multitasking with AI capabilities such as voice, vision, and text interactions. ### When should I choose chipper over py-gpt? Choose chipper over py-gpt when License: chipper is MIT, py-gpt is Other; Tags unique to chipper: agent, deepseek-chat, embedding, llm-inference; When you require an environment that integrates with Ollama API. ### 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. ### When should I avoid chipper? When the development requires real-time processing that is not aligned with Ollama's APIs or RAG capabilities. If your project strictly adheres to proprietary AI interfaces, and external integrations like Haystack RAG are prohibited. For teams preferring frameworks or tools that do not support agentic-AI features found in Chipper. ### Is py-gpt or chipper more popular on GitHub? py-gpt has more GitHub stars (1,880 vs 483). Stars measure visibility, not whether either tool fits your constraints. ### Are py-gpt and chipper open source? Yes - both are open-source projects on GitHub (py-gpt: Other, chipper: MIT). ### Where can I find alternatives to py-gpt or chipper? GraphCanon lists graph-backed alternatives at [py-gpt alternatives](/tools/szczyglis-dev-py-gpt/alternatives) and [chipper alternatives](/tools/tilmangriesel-chipper/alternatives) ([py-gpt markdown twin](/tools/szczyglis-dev-py-gpt/alternatives.md), [chipper markdown twin](/tools/tilmangriesel-chipper/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/szczyglis-dev-py-gpt-vs-tilmangriesel-chipper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, py-gpt or chipper? py-gpt: Very active. chipper: Slowing. 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 py-gpt and chipper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [py-gpt trust report](/tools/szczyglis-dev-py-gpt/trust); [chipper trust report](/tools/tilmangriesel-chipper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=szczyglis-dev-py-gpt`](/api/graphcanon/graph?tool=szczyglis-dev-py-gpt) - 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/_