Comparison
deep-research vs osgrep
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 osgrep if osgrep is an open-source tool focused on semantic search capabilities specifically designed for integration with AI agents using TypeScript.
Markdown twin · deep-research alternatives · osgrep alternatives
GraphCanon updated Sep 20, 2026
6views this month
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Trust & integrity
| Signal | deep-research | osgrep |
|---|---|---|
| Maintenance | Slowing (129d since push) As of Aug 19, 2026 · github_public_v1 | Slowing (245d 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.
- osgrep
- Open Source Semantic Search for your AI Agent
Stars
- deep-research
- 20k
- osgrep
- 1.1k
Forks
- deep-research
- 2.0k
- osgrep
- 67
Open issues
- deep-research
- 93
- osgrep
- 21
Language
- deep-research
- TypeScript
- osgrep
- 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.
- osgrep
- osgrep is an open-source tool focused on semantic search capabilities specifically designed for integration with AI agents using TypeScript.
Persona
- deep-research
- -
- osgrep
- -
Runtime
- deep-research
- -
- osgrep
- -
License
- deep-research
- MIT
- osgrep
- osgrep is available under the Apache-2.0 license, offering permissive use for both commercial and non-commercial projects without requiring derivative works to be open-sourced.
Last pushed
- deep-research
- Apr 11, 2026
- osgrep
- Jan 17, 2026
Categories
- deep-research
- AI Agents, Data & Retrieval
- osgrep
- Data & Retrieval
Trust and health
Days since push
- deep-research
- 129d
- osgrep
- 245d
Open issues (now)
- deep-research
- 93
- osgrep
- 21
Stars delta
- deep-research
- +195 (30d)
- osgrep
- +5 (30d)
Open issues delta
- deep-research
- +3 (30d)
- osgrep
- 0 (30d)
OSV dependency advisories
- deep-research
- Published findings
- osgrep
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- osgrep
- Trust report
Shared compatibility
- Node.js · deep-research: Node.js runtime · osgrep: Node.js runtime
Choose deep-research if…
- License: deep-research is MIT, osgrep is Apache-2.0.
- Requirements: Requires Docker.
- Tags unique to deep-research: agent, ai, gpt, o3-mini.
- Also covers AI Agents.
- deep-research ships Docker support for self-hosted deployment.
- 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 osgrep if…
- License: osgrep is Apache-2.0, deep-research is MIT.
- Tags unique to osgrep: colbert, embeddings, grep-search.
- osgrep ships an MCP server manifest.
- - You need advanced semantic search functionality tailored to work seamlessly with your AI agent.
When NOT to use osgrep
- - If your search requirements can be met with simple keyword matching rather than semantic analysis, as osgrep specializes in more complex semantic searches.
- - Your AI project is not using TypeScript or where seamless integration with TypeScript-specific features of osgrep would offer no advantage.
- - You require additional proprietary functionalities that go beyond what the open-source license and community provide.
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 (Ryandonofrio3/osgrep) · observed Sep 20, 2026
- GitHub forks (Ryandonofrio3/osgrep) · observed Sep 20, 2026
- Last push (Ryandonofrio3/osgrep) · observed Jan 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deep-research 20k · osgrep 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between deep-research and osgrep?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. osgrep: Open Source Semantic Search for your AI Agent. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-research over osgrep?
- Choose deep-research over osgrep when License: deep-research is MIT, osgrep is Apache-2.0; Requirements: Requires Docker; Tags unique to deep-research: agent, ai, gpt, o3-mini; Also covers AI Agents; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I choose osgrep over deep-research?
- Choose osgrep over deep-research when License: osgrep is Apache-2.0, deep-research is MIT; Tags unique to osgrep: colbert, embeddings, grep-search; osgrep ships an MCP server manifest; - You need advanced semantic search functionality tailored to work seamlessly with your AI agent.
- 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 osgrep?
- - If your search requirements can be met with simple keyword matching rather than semantic analysis, as osgrep specializes in more complex semantic searches. - Your AI project is not using TypeScript or where seamless integration with TypeScript-specific features of osgrep would offer no advantage. - You require additional proprietary functionalities that go beyond what the open-source license and community provide.
- Is deep-research or osgrep more popular on GitHub?
- deep-research has more GitHub stars (19,571 vs 1,145). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and osgrep open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, osgrep: Apache-2.0).
- Where can I find alternatives to deep-research or osgrep?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and osgrep alternatives (deep-research markdown twin, osgrep 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 osgrep?
- deep-research: Slowing. osgrep: Slowing. 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 osgrep?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; osgrep trust report.