Comparison
deep-research vs deepseek-pp
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 deepseek-pp if deepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Markdown twin · deep-research alternatives · deepseek-pp alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | deep-research | deepseek-pp |
|---|---|---|
| Maintenance | Slowing (129d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | Published findings 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
- deepseek-pp
- AI agent workspace with tools for automation and interaction
Stars
- deep-research
- 20k
- deepseek-pp
- 1.4k
Forks
- deep-research
- 2.0k
- deepseek-pp
- 175
Open issues
- deep-research
- 93
- deepseek-pp
- 5
Language
- deep-research
- TypeScript
- deepseek-pp
- 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.
- deepseek-pp
- DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills.
Persona
- deep-research
- -
- deepseek-pp
- -
Runtime
- deep-research
- -
- deepseek-pp
- -
License
- deep-research
- MIT
- deepseek-pp
- Apache-2.0
Last pushed
- deep-research
- Apr 11, 2026
- deepseek-pp
- Jul 27, 2026
Categories
- deep-research
- AI Agents, Data & Retrieval
- deepseek-pp
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- deep-research
- Slowing (36%)
- deepseek-pp
- Very active (96%)
Days since push
- deep-research
- 129d
- deepseek-pp
- 0d
Open issues (now)
- deep-research
- 93
- deepseek-pp
- 5
Stars delta
- deep-research
- +195 (30d)
- deepseek-pp
- Unknown
Open issues delta
- deep-research
- +3 (30d)
- deepseek-pp
- Unknown
OSV dependency advisories
- deep-research
- Published findings
- deepseek-pp
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- deepseek-pp
- Trust report
Choose deep-research if…
- License: deep-research is MIT, deepseek-pp is Apache-2.0.
- Requirements: Requires Docker.
- Tags unique to deep-research: agent, ai, gpt, o3-mini.
- 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 deepseek-pp if…
- License: deepseek-pp is Apache-2.0, deep-research is MIT.
- Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation.
- Need a browser-based AI agent environment with MCP (Model Context Protocol) support
When NOT to use deepseek-pp
- Simpler use-cases that don’t require extensive tool integrations or complex memory features
- If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web
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 Aug 19, 2026
- GitHub forks (dzhng/deep-research) · observed Aug 19, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zhu1090093659/deepseek-pp) · observed Jul 27, 2026
- GitHub forks (zhu1090093659/deepseek-pp) · observed Jul 27, 2026
- Last push (zhu1090093659/deepseek-pp) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deep-research 20k · deepseek-pp 1.4k (synced Aug 19, 2026).
Common questions
- What is the difference between deep-research and deepseek-pp?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. deepseek-pp: AI agent workspace with tools for automation and interaction. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-research over deepseek-pp?
- Choose deep-research over deepseek-pp when License: deep-research is MIT, deepseek-pp is Apache-2.0; Requirements: Requires Docker; Tags unique to deep-research: agent, ai, gpt, o3-mini; 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 deepseek-pp over deep-research?
- Choose deepseek-pp over deep-research when License: deepseek-pp is Apache-2.0, deep-research is MIT; Tags unique to deepseek-pp: agentic-ai, ai-agent, ai-memory, automation; Need a browser-based AI agent environment with MCP (Model Context Protocol) support.
- 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 deepseek-pp?
- Simpler use-cases that don’t require extensive tool integrations or complex memory features If you need custom extensions for browsers other than Chrome, Edge, or Firefox as supported by DeepSeek Web
- Is deep-research or deepseek-pp more popular on GitHub?
- deep-research has more GitHub stars (19,571 vs 1,350). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and deepseek-pp open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, deepseek-pp: Apache-2.0).
- Where can I find alternatives to deep-research or deepseek-pp?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and deepseek-pp alternatives (deep-research markdown twin, deepseek-pp 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 deepseek-pp?
- deep-research: Slowing. deepseek-pp: 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 deepseek-pp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; deepseek-pp trust report.