Comparison
deep-research vs MiniSearch
Verdict
Pick deep-research if deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics; 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 · deep-research alternatives · MiniSearch alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | deep-research | MiniSearch |
|---|---|---|
| Maintenance | Slowing (129d since push) As of Aug 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
- MiniSearch
- Minimalist web-searching platform featuring an AI assistant for browser-based queries.
Stars
- deep-research
- 20k
- MiniSearch
- 589
Forks
- deep-research
- 2.0k
- MiniSearch
- 75
Open issues
- deep-research
- 93
- MiniSearch
- 8
Language
- deep-research
- TypeScript
- MiniSearch
- TypeScript
Adopt for
- deep-research
- Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics.
- MiniSearch
- MiniSearch is a minimalist web-search platform that integrates AI capabilities such as question answering and retrieval-augmented generation directly into browsers.
Persona
- deep-research
- -
- MiniSearch
- -
Runtime
- deep-research
- -
- MiniSearch
- -
License
- deep-research
- MIT
- MiniSearch
- Apache-2.0
Last pushed
- deep-research
- Apr 11, 2026
- MiniSearch
- Sep 19, 2026
Categories
- deep-research
- AI Agents, Data & Retrieval
- MiniSearch
- Data & Retrieval, Inference & Serving
Trust and health
Maintenance
- deep-research
- Slowing (36%)
- MiniSearch
- Very active (96%)
Days since push
- deep-research
- 129d
- MiniSearch
- 0d
Open issues (now)
- deep-research
- 93
- MiniSearch
- 8
Stars delta
- deep-research
- +195 (30d)
- MiniSearch
- +11 (30d)
Open issues delta
- deep-research
- +3 (30d)
- MiniSearch
- -23 (30d)
OSV dependency advisories
- deep-research
- Published findings
- MiniSearch
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- MiniSearch
- Trust report
Choose deep-research if…
- License: deep-research is MIT, MiniSearch is Apache-2.0.
- Requirements: Requires Docker.
- Tags unique to deep-research: agent, gpt, o3-mini, research.
- Also covers AI Agents.
- When you need a tool that can refine its topic focus over time through repeated iterations.
When NOT to use deep-research
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment.
- If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
Choose MiniSearch if…
- License: MiniSearch is Apache-2.0, deep-research 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-search-engine, artificial-intelligence, generative-ai, gpu-accelerated.
- Also covers Inference & Serving.
- 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 (dzhng/deep-research) · observed Sep 20, 2026
- GitHub forks (dzhng/deep-research) · observed Sep 20, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (felladrin/MiniSearch) · observed Sep 20, 2026
- GitHub forks (felladrin/MiniSearch) · observed Sep 20, 2026
- Last push (felladrin/MiniSearch) · observed Sep 19, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deep-research 20k · MiniSearch 589 (synced Sep 20, 2026).
Common questions
- What is the difference between deep-research and MiniSearch?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. 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 deep-research over MiniSearch?
- Choose deep-research over MiniSearch when License: deep-research is MIT, MiniSearch is Apache-2.0; Requirements: Requires Docker; Tags unique to deep-research: agent, gpt, o3-mini, research; Also covers AI Agents; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I choose MiniSearch over deep-research?
- Choose MiniSearch over deep-research when License: MiniSearch is Apache-2.0, deep-research 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-search-engine, artificial-intelligence, generative-ai, gpu-accelerated; Also covers Inference & Serving; 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 deep-research?
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
- 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 deep-research or MiniSearch more popular on GitHub?
- deep-research has more GitHub stars (19,571 vs 589). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and MiniSearch open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, MiniSearch: Apache-2.0).
- Where can I find alternatives to deep-research or MiniSearch?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and MiniSearch alternatives (deep-research 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, deep-research or MiniSearch?
- deep-research: Slowing. 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 deep-research and MiniSearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; MiniSearch trust report.