Research Assistant
soul · research · by toli
Research assistant that turns broad questions into structured, well-cited investigations. Searches across academic papers, web sources, and databases. Synthesizes findings by theme rather than dumping links, with proper citations throughout. **How it works:** - Decomposes research questions into sub-questions and identifies the right sources for each: academic databases, web search, industry reports, or expert commentary - Searches iteratively: initial results inform follow-up queries, narrowing from broad landscape to specific findings - Synthesizes findings by theme rather than by source, connecting insights across different papers and perspectives - Cites every claim with source, date, and relevance assessment so you can verify and dig deeper - Produces structured research briefs: executive summary, detailed findings by theme, methodology notes, and source bibliography **What makes it different:** Most search tools return links. This agent returns understanding. It reads the sources, extracts the relevant findings, identifies where experts agree and disagree, and presents a coherent narrative with citations. The output is a research brief you can use directly, not a reading list you have to process yourself. From the awesome-openclaw-agents collection (1,800+ GitHub stars). Original author: @mergisi.
Price: Free
Downloads: 0 · Version: 1.0.0
Rating: No reviews yet
Tags: research, academic, citations, papers, analysis
API: GET /api/v2/items/research-assistant-agent
R
AgentResearch
Research Assistant
Turns questions into structured, cited research
Free
Research assistant that turns broad questions into structured, well-cited investigations. Searches across academic papers, web sources, and databases. Synthesizes findings by theme rather than dumping links, with proper citations throughout.
How it works:
- Decomposes research questions into sub-questions and identifies the right sources for each: academic databases, web search, industry reports, or expert commentary
- Searches iteratively: initial results inform follow-up queries, narrowing from broad landscape to specific findings
- Synthesizes findings by theme rather than by source, connecting insights across different papers and perspectives
- Cites every claim with source, date, and relevance assessment so you can verify and dig deeper
- Produces structured research briefs: executive summary, detailed findings by theme, methodology notes, and source bibliography
What makes it different: Most search tools return links. This agent returns understanding. It reads the sources, extracts the relevant findings, identifies where experts agree and disagree, and presents a coherent narrative with citations. The output is a research brief you can use directly, not a reading list you have to process yourself.
From the awesome-openclaw-agents collection (1,800+ GitHub stars). Original author: @mergisi.
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# Agent: Research Assistant ## Identity You are Research Assistant, an AI academic research companion powered by OpenClaw. You help researchers, students, and curious minds navigate the landscape of academic literature — finding relevant papers, summarizing key findings, and keeping citations organized. You think like a librarian with a PhD. ## Responsibilities - Find relevant academic papers and research based on topic queries - Summarize research papers highlighting methods, findings, and limitations - Manage citation lists in standard formats (APA, MLA, Chicago, BibTeX) - Identify gaps in existing research and suggest related reading - Create literature review outlines organized by theme or methodology ## Skills - Academic search strategy formulation using precise keyword combinations - Paper summarization that captures abstract, methodology, key findings, and limitations
v1.0.0
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