Comparison
agentset vs MiniSearch
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 MiniSearch if miniSearch is a minimalist web-search platform that integrates AI capabilities such as question answering and retrieval-augmented generation directly into browsers.
Markdown twin · agentset alternatives · MiniSearch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentset | MiniSearch |
|---|---|---|
| Maintenance | Steady (36d since push) As of 3d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- MiniSearch
- Minimalist web-searching platform featuring an AI assistant for browser-based queries.
Stars
- agentset
- 2.1k
- MiniSearch
- 581
Forks
- agentset
- 185
- MiniSearch
- 66
Open issues
- agentset
- 14
- MiniSearch
- 0
Language
- agentset
- TypeScript
- MiniSearch
- 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.
- MiniSearch
- MiniSearch is a minimalist web-search platform that integrates AI capabilities such as question answering and retrieval-augmented generation directly into browsers.
Persona
- agentset
- -
- MiniSearch
- -
Runtime
- agentset
- -
- MiniSearch
- -
License
- agentset
- AgentSet operates under the MIT License, allowing for broad usage and modification rights.
- MiniSearch
- Apache-2.0
Last pushed
- agentset
- Jul 16, 2026
- MiniSearch
- Aug 24, 2026
Categories
- agentset
- AI Agents, Data & Retrieval
- MiniSearch
- Data & Retrieval, Inference & Serving
Trust and health
Maintenance
- agentset
- Steady (60%)
- MiniSearch
- Very active (96%)
Days since push
- agentset
- 36d
- MiniSearch
- 0d
Open issues (now)
- agentset
- 14
- MiniSearch
- 0
Stars delta
- agentset
- +31 (30d)
- MiniSearch
- +3 (30d)
Open issues delta
- agentset
- +1 (30d)
- MiniSearch
- -31 (30d)
Owner type
- agentset
- Organization
- MiniSearch
- User
Full report
- agentset
- Trust report
- MiniSearch
- Trust report
Choose agentset if…
- License: agentset is MIT, MiniSearch is Apache-2.0.
- 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 MiniSearch if…
- License: MiniSearch is Apache-2.0, agentset is MIT.
- The tool operates directly from the browser, suggesting it runs client-side; however, specifics on its model hosting are not provided in the repository.
- Requirements: Dependencies on web browsers that support TypeScript and modern JavaScript features.; Access to online resources as the platform appears to rely on Internet connectivity for operation..
- Tags unique to MiniSearch: ai, ai-search-engine, artificial-intelligence, generative-ai.
- Also covers Inference & Serving.
- MiniSearch ships Docker support for self-hosted deployment.
- When you require an efficient browser-based solution for web searches with built-in AI assistance, specifically designed to operate without relying on heavy server dependencies.
When NOT to use MiniSearch
- In scenarios where extensive offline functionalities are required because MiniSearch operates directly from the browser and may not be viable for operations without internet connectivity.
- If you need heavy customization of the AI-assisted features beyond what is provided, as MiniSearch offers a compact setup which might limit deep feature personalization.
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 (felladrin/MiniSearch) · observed Aug 25, 2026
- GitHub forks (felladrin/MiniSearch) · observed Aug 25, 2026
- Last push (felladrin/MiniSearch) · observed Aug 24, 2026
- License file (Apache-2.0) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentset 2.1k · MiniSearch 581 (synced Aug 22, 2026).
Common questions
- What is the difference between agentset and MiniSearch?
- agentset: The open-source RAG platform with built-in citations and support for deep research. MiniSearch: Minimalist web-searching platform featuring an AI assistant for browser-based queries.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentset over MiniSearch?
- Choose agentset over MiniSearch when License: agentset is MIT, MiniSearch is Apache-2.0; 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 MiniSearch over agentset?
- Choose MiniSearch over agentset when License: MiniSearch is Apache-2.0, agentset is MIT; The tool operates directly from the browser, suggesting it runs client-side; however, specifics on its model hosting are not provided in the repository; Requirements: Dependencies on web browsers that support TypeScript and modern JavaScript features.; Access to online resources as the platform appears to rely on Internet connectivity for operation.; Tags unique to MiniSearch: ai, ai-search-engine, artificial-intelligence, generative-ai; Also covers Inference & Serving; MiniSearch ships Docker support for self-hosted deployment; When you require an efficient browser-based solution for web searches with built-in AI assistance, specifically designed to operate without relying on heavy server dependencies.
- 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 MiniSearch?
- In scenarios where extensive offline functionalities are required because MiniSearch operates directly from the browser and may not be viable for operations without internet connectivity. If you need heavy customization of the AI-assisted features beyond what is provided, as MiniSearch offers a compact setup which might limit deep feature personalization.
- Is agentset or MiniSearch more popular on GitHub?
- agentset has more GitHub stars (2,066 vs 581). Stars measure visibility, not whether either tool fits your constraints.
- Are agentset and MiniSearch open source?
- Yes - both are open-source projects on GitHub (agentset: MIT, MiniSearch: Apache-2.0).
- Where can I find alternatives to agentset or MiniSearch?
- GraphCanon lists graph-backed alternatives at agentset alternatives and MiniSearch alternatives (agentset markdown twin, MiniSearch 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 MiniSearch?
- agentset: Steady. MiniSearch: 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 MiniSearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentset trust report; MiniSearch trust report.