--- title: "deep-research vs deepseek-pp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dzhng-deep-research-vs-zhu1090093659-deepseek-pp" tools: ["dzhng-deep-research", "zhu1090093659-deepseek-pp"] --- # deep-research vs deepseek-pp *GraphCanon updated Aug 19, 2026* ## 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. [deep-research](https://github.com/dzhng/deep-research) reports 20k GitHub stars, 2.0k forks, and 93 open issues, last pushed Apr 11, 2026. [deepseek-pp](https://chromewebstore.google.com/detail/deepseek++/kdmpkkahkhdmdhfkdihkopikgcocbpbf?hl=zh-CN&authuser=0) has 1.4k stars, 175 forks, and 5 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [deep-research's repository](https://github.com/dzhng/deep-research) and [deepseek-pp's repository](https://github.com/zhu1090093659/deepseek-pp). | | [deep-research](/tools/dzhng-deep-research.md) | [deepseek-pp](/tools/zhu1090093659-deepseek-pp.md) | | --- | --- | --- | | Tagline | An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models. | AI agent workspace with tools for automation and interaction | | Stars | 19,571 | 1,350 | | Forks | 1,993 | 175 | | Open issues | 93 | 5 | | Language | TypeScript | TypeScript | | Adopt for | 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 Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deep-research](/tools/dzhng-deep-research.md) | [deepseek-pp](/tools/zhu1090093659-deepseek-pp.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 129d | 0d | | Open issues (now) | 93 | 5 | | Stars delta | +195 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Full report | [trust report](/tools/dzhng-deep-research/trust.md) | [trust report](/tools/zhu1090093659-deepseek-pp/trust.md) | ## Decision facts: deep-research - **Requirements:** Requires Docker - **Adopt for:** 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. ## Decision facts: deepseek-pp - **Adopt for:** DeepSeek Web provides a versatile browser extension for managing AI agents with powerful tools like MCP integration, memory management, and automated skills. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/dzhng-deep-research/alternatives) and [deepseek-pp alternatives](/tools/zhu1090093659-deepseek-pp/alternatives) ([deep-research markdown twin](/tools/dzhng-deep-research/alternatives.md), [deepseek-pp markdown twin](/tools/zhu1090093659-deepseek-pp/alternatives.md)), 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](/compare/dzhng-deep-research-vs-zhu1090093659-deepseek-pp.md) 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](/tools/dzhng-deep-research/trust); [deepseek-pp trust report](/tools/zhu1090093659-deepseek-pp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dzhng-deep-research`](/api/graphcanon/graph?tool=dzhng-deep-research) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_