Home/Compare/agentset vs firecrawl

Comparison

agentset vs firecrawl

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.

Markdown twin · agentset alternatives · firecrawl alternatives

GraphCanon updated Sep 30, 2026

8views this month

agentset logo

agentset

agentset-ai/agentset

★ 2.1kpushed Jul 16, 2026
vs
firecrawl logo

firecrawl

firecrawl/firecrawl

★ 182kpushed Sep 18, 2026

Trust & integrity

Signalagentsetfirecrawl
Maintenance
Steady (65d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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.

Stars

agentset
2.1k
firecrawl
182k

Forks

agentset
187
firecrawl
9.8k

Open issues

agentset
16
firecrawl
641

Language

agentset
TypeScript
firecrawl
TypeScript

Adopt for

agentset
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
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

agentset
-
firecrawl
-

Runtime

agentset
-
firecrawl
-

License

agentset
AgentSet operates under the MIT License, allowing for broad usage and modification rights.
firecrawl
AGPL-3.0 for the main project, MIT License for SDKs and some UI components.

Last pushed

agentset
Jul 16, 2026
firecrawl
Sep 18, 2026

Categories

agentset
AI Agents, Data & Retrieval
firecrawl
AI Agents, Data & Retrieval

Trust and health

Maintenance

agentset
Steady (60%)
firecrawl
Very active (96%)

Days since push

agentset
65d
firecrawl
0d

Open issues (now)

agentset
16
firecrawl
641

Stars delta

agentset
+57 (30d)
firecrawl
+14k (30d)

Open issues delta

agentset
+3 (30d)
firecrawl
+133 (30d)

Full report

agentset
Trust report
firecrawl
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentset 2.1k · firecrawl 182k (synced Sep 20, 2026).

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 and firecrawl alternatives (agentset markdown twin, firecrawl markdown twin), 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 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; firecrawl trust report.

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