--- title: "paperless-ai vs knowledge_gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/clusterzx-paperless-ai-vs-mmz-001-knowledge-gpt" tools: ["clusterzx-paperless-ai", "mmz-001-knowledge-gpt"] --- # paperless-ai vs knowledge_gpt *GraphCanon updated Sep 20, 2026* ## Verdict Pick paperless-ai if paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure; pick knowledge_gpt if knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations. [paperless-ai](https://clusterzx.github.io/paperless-ai/) reports 6.0k GitHub stars, 331 forks, and 56 open issues, last pushed Sep 19, 2026. [knowledge_gpt](https://knowledgegpt.streamlit.app/) has 1.6k stars, 782 forks, and 16 open issues, last pushed May 29, 2024. Figures are from public GitHub metadata via [paperless-ai's repository](https://github.com/clusterzx/paperless-ai) and [knowledge_gpt's repository](https://github.com/mmz-001/knowledge_gpt). | | [paperless-ai](/tools/clusterzx-paperless-ai.md) | [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) | | --- | --- | --- | | Tagline | Automated document analyzer for Paperless-ngx using OpenAI API and compatible services to tag documents | Accurate answers and instant citations for your documents. | | Stars | 5,950 | 1,628 | | Forks | 331 | 782 | | Open issues | 56 | 16 | | Language | JavaScript | Python | | Adopt for | Paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure. | knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability, Model Training | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [paperless-ai](/tools/clusterzx-paperless-ai.md) | [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 843d | | Archived on GitHub | No | Yes | | Open issues (now) | 56 | 16 | | Stars delta | +68 (30d) | -6 (30d) | | Open issues delta | -7 (30d) | 0 (30d) | | Full report | [trust report](/tools/clusterzx-paperless-ai/trust.md) | [trust report](/tools/mmz-001-knowledge-gpt/trust.md) | ## Decision facts: paperless-ai - **Adopt for:** Paperless-ai is a JavaScript-built automated document analyzer for Paperless-ngx that tags documents using OpenAI API and compatible services such as Ollama, Deepseek-r1, and Azure. ## Decision facts: knowledge_gpt - **Adopt for:** knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations. ## Choose when ### Choose paperless-ai if… - paperless-ai is primarily JavaScript; knowledge_gpt is Python. - Tags unique to paperless-ai: ai, automation, gemma, llama. - Also covers Model Training. - - When you require integration with Paperless-ngx for managing digital documents automatically with tagging capabilities ### Choose knowledge_gpt if… - knowledge_gpt is primarily Python; paperless-ai is JavaScript. - Tags unique to knowledge_gpt: docker, document-analysis, python, streamlit. - Also covers Data & Retrieval. - When you need to generate answers from documents alongside instant citations ## When NOT to use paperless-ai - - For projects that do not involve the management or automatic analysis of digital documents within a Paperless-ngx context - - In environments where the specific services it integrates with, such as Ollama and Deepseek-r1, are unavailable or unsupported ## When NOT to use knowledge_gpt - If your project exclusively requires web-based services without local deployments - In scenarios where real-time citation generation is not necessary ## Common questions ### What is the difference between paperless-ai and knowledge_gpt? paperless-ai: Automated document analyzer for Paperless-ngx using OpenAI API and compatible services to tag documents. knowledge_gpt: Accurate answers and instant citations for your documents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose paperless-ai over knowledge_gpt? Choose paperless-ai over knowledge_gpt when paperless-ai is primarily JavaScript; knowledge_gpt is Python; Tags unique to paperless-ai: ai, automation, gemma, llama; Also covers Model Training; - When you require integration with Paperless-ngx for managing digital documents automatically with tagging capabilities. ### When should I choose knowledge_gpt over paperless-ai? Choose knowledge_gpt over paperless-ai when knowledge_gpt is primarily Python; paperless-ai is JavaScript; Tags unique to knowledge_gpt: docker, document-analysis, python, streamlit; Also covers Data & Retrieval; When you need to generate answers from documents alongside instant citations. ### When should I avoid paperless-ai? - For projects that do not involve the management or automatic analysis of digital documents within a Paperless-ngx context - In environments where the specific services it integrates with, such as Ollama and Deepseek-r1, are unavailable or unsupported ### When should I avoid knowledge_gpt? If your project exclusively requires web-based services without local deployments In scenarios where real-time citation generation is not necessary ### Is paperless-ai or knowledge_gpt more popular on GitHub? paperless-ai has more GitHub stars (5,950 vs 1,628). Stars measure visibility, not whether either tool fits your constraints. ### Are paperless-ai and knowledge_gpt open source? Yes - both are open-source projects on GitHub (paperless-ai: MIT, knowledge_gpt: MIT). ### Where can I find alternatives to paperless-ai or knowledge_gpt? GraphCanon lists graph-backed alternatives at [paperless-ai alternatives](/tools/clusterzx-paperless-ai/alternatives) and [knowledge_gpt alternatives](/tools/mmz-001-knowledge-gpt/alternatives) ([paperless-ai markdown twin](/tools/clusterzx-paperless-ai/alternatives.md), [knowledge_gpt markdown twin](/tools/mmz-001-knowledge-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/clusterzx-paperless-ai-vs-mmz-001-knowledge-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, paperless-ai or knowledge_gpt? paperless-ai: Very active. knowledge_gpt: Archived. 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 paperless-ai and knowledge_gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [paperless-ai trust report](/tools/clusterzx-paperless-ai/trust); [knowledge_gpt trust report](/tools/mmz-001-knowledge-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=clusterzx-paperless-ai`](/api/graphcanon/graph?tool=clusterzx-paperless-ai) - 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/_