Comparison
agentset vs docmind-ai-llm
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 docmind-ai-llm if docMind AI is an open-source Python application using local Large Language Models for offline document analysis. It supports various file formats and offers secure and private insights.
Markdown twin · agentset alternatives · docmind-ai-llm alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | agentset | docmind-ai-llm |
|---|---|---|
| Maintenance | Steady (65d since push) As of Sep 19, 2026 · github_public_v1 | Steady (32d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 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 Jul 15, 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
- docmind-ai-llm
- Open-source Streamlit application for advanced offline document analysis using LLMs
Stars
- agentset
- 2.1k
- docmind-ai-llm
- 153
Forks
- agentset
- 187
- docmind-ai-llm
- 29
Open issues
- agentset
- 16
- docmind-ai-llm
- 26
Language
- agentset
- TypeScript
- docmind-ai-llm
- Python
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.
- docmind-ai-llm
- DocMind AI is an open-source Python application using local Large Language Models for offline document analysis. It supports various file formats and offers secure and private insights extraction.
Persona
- agentset
- -
- docmind-ai-llm
- -
Runtime
- agentset
- -
- docmind-ai-llm
- docker platform
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- docmind-ai-llm
- MIT
Last pushed
- agentset
- Jul 16, 2026
- docmind-ai-llm
- Aug 19, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- docmind-ai-llm
- AI Agents, Data & Retrieval, Model Training
Trust and health
Days since push
- agentset
- 65d
- docmind-ai-llm
- 32d
Open issues (now)
- agentset
- 16
- docmind-ai-llm
- 26
Stars delta
- agentset
- +57 (30d)
- docmind-ai-llm
- +6 (30d)
Open issues delta
- agentset
- +3 (30d)
- docmind-ai-llm
- -2 (30d)
Owner type
- agentset
- Organization
- docmind-ai-llm
- User
Full report
- agentset
- Trust report
- docmind-ai-llm
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; docmind-ai-llm is Python.
- 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 docmind-ai-llm if…
- docmind-ai-llm is primarily Python; agentset is TypeScript.
- DocMind AI operates in an entirely self-hosted manner, ideal for environments requiring local model operation without internet dependencies.
- Pricing: Being open-source under MIT license, DocMind AI is free to use. However, additional setup and processing power are required..
- Requirements: - The tool requires specific libraries such as LlamaIndex, LangGraph, Streamlit, Ollama, Qdrant Client, among others..
- Tags unique to docmind-ai-llm: document-analysis, hybrid-search, langchain, langgraph-supervisor-py.
- Also covers Model Training.
- docmind-ai-llm ships Docker support for self-hosted deployment.
- - When you need to analyze documents securely and privately, ensuring that all processing happens offline.
When NOT to use docmind-ai-llm
- - When working in non-POSIX compliant OSes such as native Windows, where functionalities involving searchability in PDFs are unsupported.
- - For deployments requiring cloud-based or internet-accessible models; here DocMind's focus on local LLMs and offline processing is a limitation.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentset-ai/agentset) · observed Sep 19, 2026
- GitHub forks (agentset-ai/agentset) · observed Sep 19, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (BjornMelin/docmind-ai-llm) · observed Sep 20, 2026
- GitHub forks (BjornMelin/docmind-ai-llm) · observed Sep 20, 2026
- Last push (BjornMelin/docmind-ai-llm) · observed Aug 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentset 2.1k · docmind-ai-llm 153 (synced Sep 19, 2026).
Common questions
- What is the difference between agentset and docmind-ai-llm?
- agentset: The open-source RAG platform with built-in citations and support for deep research. docmind-ai-llm: Open-source Streamlit application for advanced offline document analysis using LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over docmind-ai-llm?
- Choose agentset over docmind-ai-llm when agentset is primarily TypeScript; docmind-ai-llm is Python; 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 docmind-ai-llm over agentset?
- Choose docmind-ai-llm over agentset when docmind-ai-llm is primarily Python; agentset is TypeScript; DocMind AI operates in an entirely self-hosted manner, ideal for environments requiring local model operation without internet dependencies; Pricing: Being open-source under MIT license, DocMind AI is free to use. However, additional setup and processing power are required.; Requirements: - The tool requires specific libraries such as LlamaIndex, LangGraph, Streamlit, Ollama, Qdrant Client, among others.; Tags unique to docmind-ai-llm: document-analysis, hybrid-search, langchain, langgraph-supervisor-py; Also covers Model Training; docmind-ai-llm ships Docker support for self-hosted deployment; - When you need to analyze documents securely and privately, ensuring that all processing happens offline.
- 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 docmind-ai-llm?
- - When working in non-POSIX compliant OSes such as native Windows, where functionalities involving searchability in PDFs are unsupported. - For deployments requiring cloud-based or internet-accessible models; here DocMind's focus on local LLMs and offline processing is a limitation.
- Is agentset or docmind-ai-llm more popular on GitHub?
- agentset has more GitHub stars (2,092 vs 153). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and docmind-ai-llm open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, docmind-ai-llm: MIT).
- Where can I find alternatives to agentset or docmind-ai-llm?
- GraphCanon lists graph-backed alternatives at agentset alternatives and docmind-ai-llm alternatives (agentset markdown twin, docmind-ai-llm 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 docmind-ai-llm?
- agentset: Steady. docmind-ai-llm: Steady. 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 docmind-ai-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; docmind-ai-llm trust report.