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 poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration.
Markdown twin · agentset alternatives · llama_cloud_services alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | agentset | llama_cloud_services |
|---|---|---|
| Maintenance | Very active (6d since push) As of 1mo · github_public_v1 | Steady (74d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · 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 | No published findings from this source as of 2026-07-11 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_cloud_services
- Knowledge Agents and Management in the Cloud
Stars
- agentset
- 2.0k
- llama_cloud_services
- 4.3k
Forks
- agentset
- 183
- llama_cloud_services
- 467
Open issues
- agentset
- 13
- llama_cloud_services
- 366
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 poised for users needing a cloud-based knowledge agent solution that excels in document parsing capabilities. However, given its deprecation status, considering the migration to updated versions,如
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
- Llama Cloud Services采用MIT许可证，这意味着它开源且允许自由使用、修改和分发。
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
- Very active (96%)
- llama_cloud_services
- Steady (60%)
Days since push
- agentset
- 6d
- llama_cloud_services
- 74d
Open issues (now)
- agentset
- 13
- llama_cloud_services
- 366
OSV dependency advisories
- agentset
- No lockfile (source not queried)
- llama_cloud_services
- No published findings from this source as of 2026-07-11
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: 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。.
- Requirements: - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python.
- Tags unique to llama_cloud_services: document-parser, pdf, structured-data.
- - 需要云基知识代理解决方案，特别是文档解析能力的情况下
When NOT to use llama_cloud_services
- - ，`llama-cloud-py``@llamaindex/llama-cloud`
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 Jul 22, 2026
- GitHub forks (agentset-ai/agentset) · observed Jul 22, 2026
- Last push (agentset-ai/agentset) · observed Jul 16, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/llama_cloud_services) · observed Aug 1, 2026
- GitHub forks (run-llama/llama_cloud_services) · observed Aug 1, 2026
- Last push (run-llama/llama_cloud_services) · observed May 18, 2026
- License file (MIT) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.0k · llama_cloud_services 4.3k (synced Jul 22, 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: 未提供具体定价信息。建议直接与供应商或访问相关网站获取详细信息。; Requirements: - 迁移到新包需要安装Python（1.0及以上版本）或Node.js npm环境。; - 使用特定的语言和工具链，如TypeScript或Python; Tags unique to llama_cloud_services: document-parser, pdf, structured-data; - 需要云基知识代理解决方案，特别是文档解析能力的情况下.
- 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?
- - ，
llama-cloud-py@llamaindex/llama-cloud - Is agentset or llama_cloud_services more popular on GitHub?
- llama_cloud_services has more GitHub stars (4,258 vs 2,035). 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: Very active. llama_cloud_services: 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 llama_cloud_services?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; llama_cloud_services trust report.