--- title: "agentset vs firecrawl" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-firecrawl-firecrawl" tools: ["agentset-ai-agentset", "firecrawl-firecrawl"] --- # agentset vs firecrawl *GraphCanon updated Sep 30, 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 firecrawl if firecrawl is a web data API for large-scale web scraping, searching, and data extraction tasks, supporting AI agents for intelligent web interaction and data retrieval. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 187 forks, and 16 open issues, last pushed Jul 16, 2026. [firecrawl](https://firecrawl.dev) has 182k stars, 9.8k forks, and 641 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [firecrawl's repository](https://github.com/firecrawl/firecrawl). | | [agentset](/tools/agentset-ai-agentset.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | The web data API to search, scrape, and interact at scale. | | Stars | 2,092 | 181,801 | | Forks | 187 | 9,842 | | Open issues | 16 | 641 | | Language | TypeScript | TypeScript | | 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. | Firecrawl is a web data API for large-scale web scraping, searching, and data extraction tasks, supporting AI agents for intelligent web interaction and data retrieval. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | AGPL-3.0 for the main project, MIT License for SDKs and some UI components. | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 65d | 0d | | Open issues (now) | 16 | 641 | | Stars delta | +57 (30d) | +14k (30d) | | Open issues delta | +3 (30d) | +133 (30d) | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/firecrawl-firecrawl/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: firecrawl - **Pricing:** unknown - Pricing details are not provided in the repository data. - **Requirements:** Users must respect websites' policies when scraping and comply with robots.txt directives. - **Adopt for:** Firecrawl is a web data API for large-scale web scraping, searching, and data extraction tasks, supporting AI agents for intelligent web interaction and data retrieval. - **License detail:** AGPL-3.0 for the main project, MIT License for SDKs and some UI components. ## Choose when ### Choose agentset if… - License: agentset is MIT, firecrawl 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. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose firecrawl if… - License: firecrawl is AGPL-3.0, agentset is MIT. - Pricing: Pricing details are not provided in the repository data.. - Requirements: Users must respect websites' policies when scraping and comply with robots.txt directives.. - Tags unique to firecrawl: ai, ai-crawler, ai-scraping, ai-search. - When you need to perform large-scale web scraping and data extraction tasks with support for AI-driven web interactions. ## 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 firecrawl - If your project requires a tool that does not support AI-driven interactions and you prefer a simpler, more straightforward scraping solution. - When you are looking for a solution that does not come with the AGPL-3.0 license, as this might not be compatible with your project's licensing requirements. ## Common questions ### What is the difference between agentset and firecrawl? agentset: The open-source RAG platform with built-in citations and support for deep research. firecrawl: The web data API to search, scrape, and interact at scale.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over firecrawl? Choose agentset over firecrawl when License: agentset is MIT, firecrawl 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; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose firecrawl over agentset? Choose firecrawl over agentset when License: firecrawl is AGPL-3.0, agentset is MIT; Pricing: Pricing details are not provided in the repository data.; Requirements: Users must respect websites' policies when scraping and comply with robots.txt directives.; Tags unique to firecrawl: ai, ai-crawler, ai-scraping, ai-search; When you need to perform large-scale web scraping and data extraction tasks with support for AI-driven web interactions. ### 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 firecrawl? If your project requires a tool that does not support AI-driven interactions and you prefer a simpler, more straightforward scraping solution. When you are looking for a solution that does not come with the AGPL-3.0 license, as this might not be compatible with your project's licensing requirements. ### Is agentset or firecrawl more popular on GitHub? firecrawl has more GitHub stars (181,801 vs 2,092). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and firecrawl open source? Yes - both are open-source projects on GitHub (agentset: MIT, firecrawl: AGPL-3.0). ### Where can I find alternatives to agentset or firecrawl? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [firecrawl markdown twin](/tools/firecrawl-firecrawl/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-firecrawl-firecrawl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or firecrawl? agentset: Steady. firecrawl: 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 firecrawl? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [firecrawl trust report](/tools/firecrawl-firecrawl/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/_