Comparison
agentset vs llama_cloud_services
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_cloud_services if llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages.
Markdown twin · agentset alternatives · llama_cloud_services alternatives
GraphCanon updated Sep 20, 2026
13views this month
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Trust & integrity
| Signal | agentset | llama_cloud_services |
|---|---|---|
| Maintenance | Steady (65d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (122d 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 published findings from this source as of 2026-09-18 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
- llama_cloud_services
- Knowledge Agents and Management in the Cloud
Stars
- agentset
- 2.1k
- llama_cloud_services
- 4.3k
Forks
- agentset
- 187
- llama_cloud_services
- 465
Open issues
- agentset
- 16
- llama_cloud_services
- 365
Language
- agentset
- TypeScript
- llama_cloud_services
- 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.
- llama_cloud_services
- Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages.
Persona
- agentset
- -
- llama_cloud_services
- -
Runtime
- agentset
- -
- llama_cloud_services
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- llama_cloud_services
- MIT License
Last pushed
- agentset
- Jul 16, 2026
- llama_cloud_services
- May 18, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- llama_cloud_services
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentset
- Steady (60%)
- llama_cloud_services
- Slowing (36%)
Days since push
- agentset
- 65d
- llama_cloud_services
- 122d
Open issues (now)
- agentset
- 16
- llama_cloud_services
- 365
Stars delta
- agentset
- +57 (30d)
- llama_cloud_services
- +9 (30d)
Open issues delta
- agentset
- +3 (30d)
- llama_cloud_services
- -1 (30d)
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- llama_cloud_services
- No published findings from this source as of 2026-09-18
Full report
- agentset
- Trust report
- llama_cloud_services
- 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.
- - 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_cloud_services if…
- Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided..
- Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages..
- Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown.
- Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026.
When NOT to use llama_cloud_services
- Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026.
- Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages.
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 20, 2026
- GitHub forks (agentset-ai/agentset) · observed Sep 20, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/llama_cloud_services) · observed Sep 20, 2026
- GitHub forks (run-llama/llama_cloud_services) · observed Sep 20, 2026
- Last push (run-llama/llama_cloud_services) · observed May 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: agentset 2.1k · llama_cloud_services 4.3k (synced Sep 20, 2026).
Common questions
- What is the difference between agentset and llama_cloud_services?
- agentset: The open-source RAG platform with built-in citations and support for deep research. llama_cloud_services: Knowledge Agents and Management in the Cloud. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over llama_cloud_services?
- Choose agentset over llama_cloud_services 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; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats.
- When should I choose llama_cloud_services over agentset?
- Choose llama_cloud_services over agentset when Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.; Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.; Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown; Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026.
- 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_cloud_services?
- Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages.
- Is agentset or llama_cloud_services more popular on GitHub?
- llama_cloud_services has more GitHub stars (4,267 vs 2,092). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and llama_cloud_services open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, llama_cloud_services: MIT).
- Where can I find alternatives to agentset or llama_cloud_services?
- GraphCanon lists graph-backed alternatives at agentset alternatives and llama_cloud_services alternatives (agentset markdown twin, llama_cloud_services 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_cloud_services?
- agentset: Steady. llama_cloud_services: Slowing. 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_cloud_services?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; llama_cloud_services trust report.