--- title: "agentset vs pdfmux" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-nameetp-pdfmux" tools: ["agentset-ai-agentset", "nameetp-pdfmux"] --- # agentset vs pdfmux *GraphCanon updated Aug 22, 2026* ## Verdict Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [pdfmux](https://pdfmux.com) has 79 stars, 12 forks, and 4 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [pdfmux's repository](https://github.com/NameetP/pdfmux). | | [agentset](/tools/agentset-ai-agentset.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | PDF extraction with self-healing and cost-aware mechanisms | | Stars | 2,066 | 79 | | Forks | 185 | 12 | | Open issues | 14 | 4 | | Language | TypeScript | Python | | Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 36d | 1d | | Open issues (now) | 14 | 4 | | Stars delta | +31 (30d) | +3 (30d) | | Open issues delta | +1 (30d) | -2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/nameetp-pdfmux/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - Free to use as it is open-source. - **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities. - **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: pdfmux - **Adopt for:** pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. ## Choose when ### Choose agentset if… - agentset is primarily TypeScript; pdfmux is Python. - Pricing: Free to use as it is open-source.. - Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.. - Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management. - Also covers AI Agents. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose pdfmux if… - pdfmux is primarily Python; agentset is TypeScript. - Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction. - Also covers Evaluation & Observability. - pdfmux ships Docker support for self-hosted deployment. - You need high accuracy without LLMs or GPUs. ## When NOT to use agentset - - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ## When NOT to use pdfmux - Require real-time GPU-based AI processing for speed. - Working with non-PDF file formats as sole tool. ## Common questions ### What is the difference between agentset and pdfmux? agentset: The open-source RAG platform with built-in citations and support for deep research. pdfmux: PDF extraction with self-healing and cost-aware mechanisms. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over pdfmux? Choose agentset over pdfmux when agentset is primarily TypeScript; pdfmux is Python; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose pdfmux over agentset? Choose pdfmux over agentset when pdfmux is primarily Python; agentset is TypeScript; Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction; Also covers Evaluation & Observability; pdfmux ships Docker support for self-hosted deployment; You need high accuracy without LLMs or GPUs. ### When should I avoid agentset? - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ### When should I avoid pdfmux? Require real-time GPU-based AI processing for speed. Working with non-PDF file formats as sole tool. ### Is agentset or pdfmux more popular on GitHub? agentset has more GitHub stars (2,066 vs 79). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and pdfmux open source? Yes - both are open-source projects on GitHub (agentset: MIT, pdfmux: MIT). ### Where can I find alternatives to agentset or pdfmux? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [pdfmux alternatives](/tools/nameetp-pdfmux/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [pdfmux markdown twin](/tools/nameetp-pdfmux/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/agentset-ai-agentset-vs-nameetp-pdfmux.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or pdfmux? agentset: Steady. pdfmux: 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 agentset and pdfmux? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [pdfmux trust report](/tools/nameetp-pdfmux/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - 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/_