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Run deep research with multiple LLMs via SSE API and MCP servers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "deep-research" yet — see the docs or source repo.
Use the deep-research tool to conduct deep research on AI note-taking products. Summarize five major competitors, including positioning, core features, pricing, target users, and differentiators, then output a structured table and concise conclusions.
A structured competitor research report with a comparison table, key takeaways, and insights.
Use the deep-research tool to investigate vector database selection for RAG systems. Compare Pinecone, Weaviate, Milvus, and pgvector on deployment, performance, ecosystem, cost, and use cases, then provide recommendations.
A technical evaluation with multidimensional comparisons and recommendations for different scenarios.
Use the deep-research tool to analyze 2025 AI customer service market trends. Summarize major directions, representative vendors, business models, user concerns, and risks, then provide conclusions for product planning.
A decision-oriented trend analysis summarizing market dynamics, opportunities, and risks.
Add semantic search and document retrieval to Deep Research with custom knowledge.
Conduct multi-source web research and produce cited, source-attributed reports.
Conduct multi-source web research and synthesize citation-backed findings efficiently.
Conduct iterative web research and generate professional Markdown reports automatically.
Automate DeepSeek for chat, code review, summarization, and debugging assistance.
Search the web, clean pages, and generate research dossiers for AI agents.