Comparison
agentset vs llama-hub
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 llama-hub if community-driven data loaders for LlamaIndex/LangChain.
Markdown twin · agentset alternatives · llama-hub alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agentset | llama-hub |
|---|---|---|
| Maintenance | Steady (36d since push) As of 1d · github_public_v1 | Archived (889d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- llama-hub
- A library of data loaders for LLMs made by the community
Stars
- agentset
- 2.1k
- llama-hub
- 3.5k
Forks
- agentset
- 185
- llama-hub
- 721
Open issues
- agentset
- 14
- llama-hub
- 96
Language
- agentset
- TypeScript
- llama-hub
- Jupyter Notebook
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.
- llama-hub
- community-driven data loaders for LlamaIndex/LangChain
Persona
- agentset
- -
- llama-hub
- -
Runtime
- agentset
- -
- llama-hub
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- llama-hub
- MIT
Last pushed
- agentset
- Jul 16, 2026
- llama-hub
- Mar 1, 2024
Categories
- agentset
- AI Agents, Data & Retrieval
- llama-hub
- Data & Retrieval, Model Training
Trust and health
Maintenance
- agentset
- Steady (60%)
- llama-hub
- Archived (8%)
Days since push
- agentset
- 36d
- llama-hub
- 889d
Archived on GitHub
- agentset
- No
- llama-hub
- Yes
Open issues (now)
- agentset
- 14
- llama-hub
- 96
Stars delta
- agentset
- +31 (30d)
- llama-hub
- Unknown
Open issues delta
- agentset
- +1 (30d)
- llama-hub
- Unknown
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- llama-hub
- Published findings
Full report
- agentset
- Trust report
- llama-hub
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; llama-hub is Jupyter Notebook.
- 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 AI Agents.
- - 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 llama-hub if…
- llama-hub is primarily Jupyter Notebook; agentset is TypeScript.
- Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex.
- Also covers Model Training.
- Community-specific features require engagement with community
When NOT to use llama-hub
- Limited support if the community lacks activity
- Not suitable without familiarity with Poetry for dependency management
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 Aug 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Aug 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/llama-hub) · observed Aug 8, 2026
- GitHub forks (run-llama/llama-hub) · observed Aug 8, 2026
- Last push (run-llama/llama-hub) · observed Mar 1, 2024
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.1k · llama-hub 3.5k (synced Aug 22, 2026).
Common questions
- What is the difference between agentset and llama-hub?
- agentset: The open-source RAG platform with built-in citations and support for deep research. llama-hub: A library of data loaders for LLMs made by the community. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over llama-hub?
- Choose agentset over llama-hub when agentset is primarily TypeScript; llama-hub is Jupyter Notebook; 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 AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose llama-hub over agentset?
- Choose llama-hub over agentset when llama-hub is primarily Jupyter Notebook; agentset is TypeScript; Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex; Also covers Model Training; Community-specific features require engagement with community.
- 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 llama-hub?
- Limited support if the community lacks activity Not suitable without familiarity with Poetry for dependency management
- Is agentset or llama-hub more popular on GitHub?
- llama-hub has more GitHub stars (3,469 vs 2,066). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and llama-hub open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, llama-hub: MIT).
- Where can I find alternatives to agentset or llama-hub?
- GraphCanon lists graph-backed alternatives at agentset alternatives and llama-hub alternatives (agentset markdown twin, llama-hub 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 llama-hub?
- agentset: Steady. llama-hub: Archived. 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 llama-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; llama-hub trust report.