Comparison
agentset vs local-deep-research
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 local-deep-research if for deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents.
Markdown twin · agentset alternatives · local-deep-research alternatives
GraphCanon updated Sep 20, 2026
17views this month
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Trust & integrity
| Signal | agentset | local-deep-research |
|---|---|---|
| Maintenance | Steady (65d since push) As of Sep 19, 2026 · github_public_v1 | Very active (0d 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
- local-deep-research
- Supports local and cloud LLMs with encrypted search from diverse sources.
Stars
- agentset
- 2.1k
- local-deep-research
- 9.1k
Forks
- agentset
- 187
- local-deep-research
- 824
Open issues
- agentset
- 16
- local-deep-research
- 887
Language
- agentset
- TypeScript
- local-deep-research
- 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.
- local-deep-research
- For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents.
Persona
- agentset
- -
- local-deep-research
- -
Runtime
- agentset
- -
- local-deep-research
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- local-deep-research
- MIT
Last pushed
- agentset
- Jul 16, 2026
- local-deep-research
- Sep 19, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- local-deep-research
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- agentset
- Steady (60%)
- local-deep-research
- Very active (96%)
Days since push
- agentset
- 65d
- local-deep-research
- 0d
Open issues (now)
- agentset
- 16
- local-deep-research
- 887
Stars delta
- agentset
- +57 (30d)
- local-deep-research
- +209 (30d)
Open issues delta
- agentset
- +3 (30d)
- local-deep-research
- +535 (30d)
Owner type
- agentset
- Organization
- local-deep-research
- User
Full report
- agentset
- Trust report
- local-deep-research
- Trust report
Choose agentset if…
- agentset is primarily TypeScript; local-deep-research 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, 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 local-deep-research if…
- local-deep-research is primarily Python; agentset is TypeScript.
- Tags unique to local-deep-research: academia, anthropic, arxiv, encryption.
- Also covers LLM Frameworks.
- local-deep-research ships Docker support for self-hosted deployment.
- You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
When NOT to use local-deep-research
- If you require real-time collaboration features that are not supported by this tool's framework.
- In scenarios where online connectivity is unreliable and external search engine support is considered critical.
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 (LearningCircuit/local-deep-research) · observed Sep 20, 2026
- GitHub forks (LearningCircuit/local-deep-research) · observed Sep 20, 2026
- Last push (LearningCircuit/local-deep-research) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentset 2.1k · local-deep-research 9.1k (synced Sep 19, 2026).
Common questions
- What is the difference between agentset and local-deep-research?
- agentset: The open-source RAG platform with built-in citations and support for deep research. local-deep-research: Supports local and cloud LLMs with encrypted search from diverse sources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over local-deep-research?
- Choose agentset over local-deep-research when agentset is primarily TypeScript; local-deep-research 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, 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 local-deep-research over agentset?
- Choose local-deep-research over agentset when local-deep-research is primarily Python; agentset is TypeScript; Tags unique to local-deep-research: academia, anthropic, arxiv, encryption; Also covers LLM Frameworks; local-deep-research ships Docker support for self-hosted deployment; You need encryption for all data processing steps and want support for various sources like academic articles and personal files.
- 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 local-deep-research?
- If you require real-time collaboration features that are not supported by this tool's framework. In scenarios where online connectivity is unreliable and external search engine support is considered critical.
- Is agentset or local-deep-research more popular on GitHub?
- local-deep-research has more GitHub stars (9,109 vs 2,092). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and local-deep-research open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, local-deep-research: MIT).
- Where can I find alternatives to agentset or local-deep-research?
- GraphCanon lists graph-backed alternatives at agentset alternatives and local-deep-research alternatives (agentset markdown twin, local-deep-research 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 local-deep-research?
- agentset: Steady. local-deep-research: Very active. 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 local-deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; local-deep-research trust report.