--- title: "agentset vs ChatFiles" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-guangzhengli-chatfiles" tools: ["agentset-ai-agentset", "guangzhengli-chatfiles"] --- # agentset vs ChatFiles *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 ChatFiles if chatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [ChatFiles](https://github.com/guangzhengli/ChatFiles) has 3.3k stars, 464 forks, and 18 open issues, last pushed Dec 17, 2024. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [ChatFiles's repository](https://github.com/guangzhengli/ChatFiles). | | [agentset](/tools/agentset-ai-agentset.md) | [ChatFiles](/tools/guangzhengli-chatfiles.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | Document Chatbot powered by GPT and Embedding | | Stars | 2,066 | 3,341 | | Forks | 185 | 464 | | Open issues | 14 | 18 | | 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. | ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [ChatFiles](/tools/guangzhengli-chatfiles.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 36d | 605d | | Open issues (now) | 14 | 18 | | Stars delta | +31 (30d) | -3 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/guangzhengli-chatfiles/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: ChatFiles - **Pricing:** freemium - 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. - **Adopt for:** ChatFiles uses GPT and embedding technologies with LangchainJS for document interaction via a Supabase vector database. ## Choose when ### 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. ### 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 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 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. ## 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 2,066). 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](/tools/agentset-ai-agentset/alternatives) and [ChatFiles alternatives](/tools/guangzhengli-chatfiles/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [ChatFiles markdown twin](/tools/guangzhengli-chatfiles/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-guangzhengli-chatfiles.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or ChatFiles? agentset: Steady. 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](/tools/agentset-ai-agentset/trust); [ChatFiles trust report](/tools/guangzhengli-chatfiles/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/_