Home/Compare/deep-research vs zoom-search

Comparison

deep-research vs zoom-search

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 zoom-search if zoom-search is a Python-based tool for AI agents that supports query rewriting, evidence synthesis, and source citation, designed for deep research and web search tasks.

Markdown twin · deep-research alternatives · zoom-search alternatives

GraphCanon updated Sep 20, 2026

deep-research logo

deep-research

dzhng/deep-research

20kpushed Apr 11, 2026
vs
zoom-search logo

zoom-search

goofrey/zoom-search

4pushed Jul 16, 2026

Trust & integrity

Signaldeep-researchzoom-search
Maintenance
Slowing (129d since push)
As of Aug 19, 2026 · github_public_v1
Steady (63d since push)
As of Sep 18, 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 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 20, 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.
zoom-search
MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics

Stars

deep-research
20k
zoom-search
4

Forks

deep-research
2.0k
zoom-search
0

Open issues

deep-research
93
zoom-search
0

Language

deep-research
TypeScript
zoom-search
Python

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.
zoom-search
zoom-search is a Python-based tool for AI agents that supports query rewriting, evidence synthesis, and source citation, designed for deep research and web search tasks.

Persona

deep-research
-
zoom-search
-

Runtime

deep-research
-
zoom-search
-

License

deep-research
MIT
zoom-search
MIT License

Last pushed

deep-research
Apr 11, 2026
zoom-search
Jul 16, 2026

Categories

deep-research
AI Agents, Data & Retrieval
zoom-search
AI Agents, Data & Retrieval

Trust and health

Maintenance

deep-research
Slowing (36%)
zoom-search
Steady (60%)

Days since push

deep-research
129d
zoom-search
63d

Open issues (now)

deep-research
93
zoom-search
0

Stars delta

deep-research
+195 (30d)
zoom-search
Unknown

Open issues delta

deep-research
+3 (30d)
zoom-search
Unknown

OSV dependency advisories

deep-research
Published findings
zoom-search
No lockfile (source not queried)

Full report

deep-research
Trust report
zoom-search
Trust report

Choose deep-research if…

  • deep-research is primarily TypeScript; zoom-search is Python.
  • Requirements: Requires Docker.
  • Tags unique to deep-research: agent, ai, gpt, o3-mini.
  • 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 zoom-search if…

  • zoom-search is primarily Python; deep-research is TypeScript.
  • Pricing: Free and open-source under the MIT License..
  • Requirements: Min 2 GB RAM; Install via pip: pip install zoom-search.
  • Tags unique to zoom-search: agent-tools, ai-agents, ai-search, deep-research.
  • Use zoom-search when you need a tool that can rewrite queries to improve search relevance for AI agents.

When NOT to use zoom-search

  • Do not use zoom-search if your project does not require query rewriting or evidence synthesis capabilities.
  • Avoid zoom-search if your AI agent tasks do not benefit from detailed runtime metrics or if source citation is not a priority.
  • If your application does not involve deep research or web search tasks, zoom-search may not be the appropriate tool.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: deep-research 20k · zoom-search 4 (synced Sep 20, 2026).

Common questions

What is the difference between deep-research and zoom-search?
deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. zoom-search: MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics. See the comparison table for live GitHub stats and shared categories.
When should I choose deep-research over zoom-search?
Choose deep-research over zoom-search when deep-research is primarily TypeScript; zoom-search is Python; Requirements: Requires Docker; Tags unique to deep-research: agent, ai, gpt, o3-mini; When you need a tool that can refine its topic focus over time through repeated iterations.
When should I choose zoom-search over deep-research?
Choose zoom-search over deep-research when zoom-search is primarily Python; deep-research is TypeScript; Pricing: Free and open-source under the MIT License.; Requirements: Min 2 GB RAM; Install via pip: pip install zoom-search; Tags unique to zoom-search: agent-tools, ai-agents, ai-search, deep-research; Use zoom-search when you need a tool that can rewrite queries to improve search relevance for AI agents.
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 zoom-search?
Do not use zoom-search if your project does not require query rewriting or evidence synthesis capabilities. Avoid zoom-search if your AI agent tasks do not benefit from detailed runtime metrics or if source citation is not a priority. If your application does not involve deep research or web search tasks, zoom-search may not be the appropriate tool.
Is deep-research or zoom-search more popular on GitHub?
deep-research has more GitHub stars (19,571 vs 4). Stars measure visibility, not whether either tool fits your constraints.
Are deep-research and zoom-search open source?
Yes - both are open-source projects on GitHub (deep-research: MIT, zoom-search: MIT).
Where can I find alternatives to deep-research or zoom-search?
GraphCanon lists graph-backed alternatives at deep-research alternatives and zoom-search alternatives (deep-research markdown twin, zoom-search 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 zoom-search?
deep-research: Slowing. zoom-search: 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 deep-research and zoom-search?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; zoom-search trust report.

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