Home/Compare/agentset vs ChatFiles

Comparison

agentset vs ChatFiles

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 ChatFiles if chatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database.

Markdown twin · agentset alternatives · ChatFiles alternatives

GraphCanon updated 5d

agentset logo

agentset

agentset-ai/agentset

2.0kpushed Jul 16, 2026
vs
ChatFiles logo

ChatFiles

guangzhengli/ChatFiles

3.3kpushed Dec 17, 2024

Trust & integrity

SignalagentsetChatFiles
Maintenance
Very active (6d since push)
As of 4w · github_public_v1
Dormant (605d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 4w · github_public_v1
Not a fork · Personal account
As of 5d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
ChatFiles
Document Chatbot powered by GPT and Embedding

Stars

agentset
2.0k
ChatFiles
3.3k

Forks

agentset
183
ChatFiles
464

Open issues

agentset
13
ChatFiles
18

Language

agentset
TypeScript
ChatFiles
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.
ChatFiles
ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database.

Persona

agentset
-
ChatFiles
-

Runtime

agentset
-
ChatFiles
-

License

agentset
AgentSet operates under the MIT License, allowing for broad usage and modification rights.
ChatFiles
MIT

Last pushed

agentset
Jul 16, 2026
ChatFiles
Dec 17, 2024

Categories

agentset
AI Agents, Data & Retrieval
ChatFiles
AI Agents, Vector Databases

Trust and health

Maintenance

agentset
Very active (96%)
ChatFiles
Dormant (18%)

Days since push

agentset
6d
ChatFiles
605d

Open issues (now)

agentset
13
ChatFiles
18

Stars delta

agentset
Unknown
ChatFiles
-3 (30d)

Open issues delta

agentset
Unknown
ChatFiles
0 (30d)

Owner type

agentset
Organization
ChatFiles
User

Full report

agentset
Trust report
ChatFiles
Trust report

Choose agentset if…

  • 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 Data & Retrieval.
  • - 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 ChatFiles if…

  • Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase..
  • Requirements: Local setup requires setting environment variables as outlined in the documentation..
  • Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase.
  • Also covers Vector Databases.
  • ChatFiles ships Docker support for self-hosted deployment.
  • You need to integrate file-based conversations into your web apps using TypeScript.

When NOT to use ChatFiles

  • If you aim to use languages other than TypeScript for your document chatbot functionality.
  • Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation.
  • The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool.

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 2.0k · ChatFiles 3.3k (synced Jul 22, 2026).

Common questions

What is the difference between agentset and ChatFiles?
agentset: The open-source RAG platform with built-in citations and support for deep research. ChatFiles: Document Chatbot powered by GPT and Embedding. See the comparison table for live GitHub stats and shared categories.
When should I choose agentset over ChatFiles?
Choose agentset over ChatFiles when 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 Data & Retrieval; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
When should I choose ChatFiles over agentset?
Choose ChatFiles over agentset when Pricing: Available under the MIT license, it is free to use. However, users might incur costs for hosting with Vercel and database usage on Supabase.; Requirements: Local setup requires setting environment variables as outlined in the documentation.; Tags unique to ChatFiles: chatbot, embedding, gpt-api, supabase; Also covers Vector Databases; ChatFiles ships Docker support for self-hosted deployment; You need to integrate file-based conversations into your web apps using TypeScript.
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 ChatFiles?
If you aim to use languages other than TypeScript for your document chatbot functionality. Your deployment preferences prioritize platforms other than Vercel, which is highlighted in ChatFiles' documentation. The project does not require or benefit from the specific combination of LangchainJS and Supabase as provided by this tool.
Is agentset or ChatFiles more popular on GitHub?
ChatFiles has more GitHub stars (3,341 vs 2,035). Stars measure visibility, not whether either tool fits your constraints.
Are agentset and ChatFiles open source?
Yes - both are open-source projects on GitHub (agentset: MIT, ChatFiles: MIT).
Where can I find alternatives to agentset or ChatFiles?
GraphCanon lists graph-backed alternatives at agentset alternatives and ChatFiles alternatives (agentset markdown twin, ChatFiles 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 ChatFiles?
agentset: Very active. ChatFiles: Dormant. 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 ChatFiles?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; ChatFiles trust report.

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