--- title: "agentset vs unstract" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-zipstack-unstract" tools: ["agentset-ai-agentset", "zipstack-unstract"] --- # agentset vs unstract *GraphCanon updated Oct 4, 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 unstract if unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 187 forks, and 16 open issues, last pushed Jul 16, 2026. [unstract](https://unstract.com) has 7.2k stars, 718 forks, and 95 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [unstract's repository](https://github.com/Zipstack/unstract). | | [agentset](/tools/agentset-ai-agentset.md) | [unstract](/tools/zipstack-unstract.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows | | Stars | 2,092 | 7,245 | | Forks | 187 | 718 | | Open issues | 16 | 95 | | 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. | Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | AGPL-3.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [unstract](/tools/zipstack-unstract.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 65d | 1d | | Open issues (now) | 16 | 95 | | Stars delta | +57 (30d) | +313 (30d) | | Open issues delta | +3 (30d) | +7 (30d) | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/zipstack-unstract/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: unstract - **Adopt for:** Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license. ## Choose when ### Choose agentset if… - agentset is primarily TypeScript; unstract is Python. - License: agentset is MIT, unstract is AGPL-3.0. - 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, embeddings, memory-management, rag. - Also covers AI Agents. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose unstract if… - unstract is primarily Python; agentset is TypeScript. - License: unstract is AGPL-3.0, agentset is MIT. - Tags unique to unstract: data-engineering, document-ai, generative-ai, idp. - Also covers LLM Frameworks. - You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license. ## 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 unstract - Your workflow strictly adheres to closed-source software management policies and requires proprietary control. - Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. - Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency. ## Common questions ### What is the difference between agentset and unstract? agentset: The open-source RAG platform with built-in citations and support for deep research. unstract: LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over unstract? Choose agentset over unstract when agentset is primarily TypeScript; unstract is Python; License: agentset is MIT, unstract is AGPL-3.0; 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, embeddings, memory-management, rag; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose unstract over agentset? Choose unstract over agentset when unstract is primarily Python; agentset is TypeScript; License: unstract is AGPL-3.0, agentset is MIT; Tags unique to unstract: data-engineering, document-ai, generative-ai, idp; Also covers LLM Frameworks; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license. ### 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 unstract? Your workflow strictly adheres to closed-source software management policies and requires proprietary control. Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency. ### Is agentset or unstract more popular on GitHub? unstract has more GitHub stars (7,245 vs 2,092). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and unstract open source? Yes - both are open-source projects on GitHub (agentset: MIT, unstract: AGPL-3.0). ### Where can I find alternatives to agentset or unstract? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [unstract alternatives](/tools/zipstack-unstract/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [unstract markdown twin](/tools/zipstack-unstract/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-zipstack-unstract.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or unstract? agentset: Steady. unstract: 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 unstract? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [unstract trust report](/tools/zipstack-unstract/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/_