--- title: "deep-research vs llm-wiki-agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dzhng-deep-research-vs-samuraigpt-llm-wiki-agent" tools: ["dzhng-deep-research", "samuraigpt-llm-wiki-agent"] --- # deep-research vs llm-wiki-agent *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 llm-wiki-agent if llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI. [deep-research](https://github.com/dzhng/deep-research) reports 20k GitHub stars, 2.0k forks, and 93 open issues, last pushed Apr 11, 2026. [llm-wiki-agent](https://github.com/SamurAIGPT/llm-wiki-agent) has 3.3k stars, 388 forks, and 3 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [deep-research's repository](https://github.com/dzhng/deep-research) and [llm-wiki-agent's repository](https://github.com/SamurAIGPT/llm-wiki-agent). | | [deep-research](/tools/dzhng-deep-research.md) | [llm-wiki-agent](/tools/samuraigpt-llm-wiki-agent.md) | | --- | --- | --- | | Tagline | An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models. | A personal knowledge base that builds and maintains itself using various AI agents. | | Stars | 19,571 | 3,334 | | Forks | 1,993 | 388 | | Open issues | 93 | 3 | | Language | TypeScript | Python | | 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. | llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | 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) | [llm-wiki-agent](/tools/samuraigpt-llm-wiki-agent.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 129d | 5d | | Open issues (now) | 93 | 3 | | Stars delta | +195 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/dzhng-deep-research/trust.md) | [trust report](/tools/samuraigpt-llm-wiki-agent/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: llm-wiki-agent - **Adopt for:** llm-wiki-agent serves as a self-maintained personal knowledge base using AI agents like Claude, Codex, OpenCode, and Gemini CLI. ## Choose when ### Choose deep-research if… - deep-research is primarily TypeScript; llm-wiki-agent is Python. - 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 llm-wiki-agent if… - llm-wiki-agent is primarily Python; deep-research is TypeScript. - Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm. - When you need to create an interlinked wiki without setting up API keys or configuring Python environments. ## 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 llm-wiki-agent - If the process requires strict privacy controls and no third-party AI agents can be used. - When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations. ## Common questions ### What is the difference between deep-research and llm-wiki-agent? deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. llm-wiki-agent: A personal knowledge base that builds and maintains itself using various AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose deep-research over llm-wiki-agent? Choose deep-research over llm-wiki-agent when deep-research is primarily TypeScript; llm-wiki-agent is Python; 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 llm-wiki-agent over deep-research? Choose llm-wiki-agent over deep-research when llm-wiki-agent is primarily Python; deep-research is TypeScript; Tags unique to llm-wiki-agent: ai-agent, automation, knowledge-base, llm; When you need to create an interlinked wiki without setting up API keys or configuring Python environments. ### 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 llm-wiki-agent? If the process requires strict privacy controls and no third-party AI agents can be used. When your project needs real-time interaction with APIs for dynamic content integration, as llm-wiki-agent does not support API-driven operations. ### Is deep-research or llm-wiki-agent more popular on GitHub? deep-research has more GitHub stars (19,571 vs 3,334). Stars measure visibility, not whether either tool fits your constraints. ### Are deep-research and llm-wiki-agent open source? Yes - both are open-source projects on GitHub (deep-research: MIT, llm-wiki-agent: MIT). ### Where can I find alternatives to deep-research or llm-wiki-agent? GraphCanon lists graph-backed alternatives at [deep-research alternatives](/tools/dzhng-deep-research/alternatives) and [llm-wiki-agent alternatives](/tools/samuraigpt-llm-wiki-agent/alternatives) ([deep-research markdown twin](/tools/dzhng-deep-research/alternatives.md), [llm-wiki-agent markdown twin](/tools/samuraigpt-llm-wiki-agent/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-samuraigpt-llm-wiki-agent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deep-research or llm-wiki-agent? deep-research: Slowing. llm-wiki-agent: 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 llm-wiki-agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deep-research trust report](/tools/dzhng-deep-research/trust); [llm-wiki-agent trust report](/tools/samuraigpt-llm-wiki-agent/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/_