Can it work for niche topics?

Works well for popular topics (AI, sustainability, crypto). For very niche may have limited results, but agent suggests where to look (specific forums, paywalled databases).

How long does one research take?

Depends on scope. Broad topic (e.g. AI trends 2025): ~30 min search + 20 min analysis = 50 min for basic report. For deep dive: hours. Can run overnight.

Can it work with paywalled sources (e.g. academic journals)?

Limited. Free sources (Google Scholar, arXiv, GitHub) cover most. For paywalled (IEEE, Nature, ScienceDirect) may need institutional login access.

Can it help with literature review for thesis?

Yes, perfect use-case. Agent generates structured literature review: finds relevant papers, organizes by themes, synthesizes findings, highlights gaps. Can then hand-edit and incorporate into thesis.

Can it work for competitive intelligence?

Yes. Agent can research competitors: products, funding, team, announcements, customer feedback. Generates competitive landscape report with market positioning.

Can it auto-update old research?

Yes. You say 'update research from March 2025', agent takes old report, searches for new sources since then, merges findings, highlights what changed.

AI research: auto-search internet, academia, synthesize into report

Research: AI searches Google, Academia, GitHub, synthesizes findings, creates report with citations

Q: Can it work for academic vs commercial research?

Both. For academic: focus on peer-reviewed papers, citations, methodology. For commercial: focus on startups, market trends, competitive landscape. Agent adjusts source priorities.

You ask topic ('AI development in healthcare 2024-2026'), agent: searches Google Scholar, arXiv, GitHub, Medium, collects articles and papers. Analyzes: main trends, key players, contradictions, future. Generates structured report (markdown, PDF) with citations, sources, conclusions. $19/mo.

Launch AI research: auto-search internet, academia, synthesize into report

366k+⭐ OpenClaw on GitHub

<5minutes to launch

Sound familiar?

What's eating your time

Research is long: manually read 50+ articles, extract key insights, organize into structure = hours of work

Info scattered: article on Google, paper on arXiv, GitHub repo, news — different sites, no unified view

Synthesis hard: hundreds of sources but no clear picture of trends, contradictions, where to look next

Citation management: tracking sources, formatting bibliography, avoiding plagiarism takes attention

Capabilities

What your AI agent can do

Multi-source search

Agent searches simultaneously in: Google Scholar (academic), arXiv (preprints), GitHub (code + docs), Medium (articles), Twitter/Reddit (discussions), news sites. Aggregates all in one view with relevance ranking.

Analyze and synthesize information

Agent reads found sources, analyzes: main themes, contradictions, consensus vs outliers, historical progression (how it changed 2020-2026), future predictions from experts.

Structured report generation

Agent generates structured report: executive summary, key findings by theme, deep dives per section, trends analysis, gaps and open questions, recommendations. Format: markdown → PDF with formatting.

Citation management and bibliography

Agent automatically collects all sources, formats in APA/MLA/Chicago style, inserts citations in text, creates bibliography. Can export as BibTeX for LaTeX.

Research tracking and versioning

Agent saves all intermediate results (sources found, outline, draft, final), allows versioning, compare versions, track changes. Can rerun research 6 months later, see what changed.

Works with your tools

Google Scholar

arXiv

GitHub

Notion

Google Drive

Slack

How it works

Get started in a few steps

Ask research question

You say: 'How is AI developing in healthcare? What startups, what trends?'. Or: 'What's new in Rust ecosystem in 2025?'. Agent clarifies scope (years, discipline, geographic focus).

Search across multiple sources

Agent runs parallel search: Google Scholar by keywords, arXiv by categories, GitHub by topics, news by tags, Reddit by subreddits. Collects and deduplicates results.

Analyze and synthesize findings

Agent reads found papers and articles, extracts: methodology, results, conclusions. Compares: which sources agree, where contradictions. Highlights themes, trends, gaps.

Generate report

Agent writes structured report: introduction, executive summary (what found in 5 min), 3-5 main findings with examples, analysis & synthesis, future directions. Inserts inline citations and bibliography.

Export and versioning

Agent saves report as PDF (formatted), markdown (for editing), JSON (for reuse/versioning). Stores in Notion/Google Drive. Can later update or reuse as foundation for next research.

FAQ

Frequently asked questions

Both. For academic: focus on peer-reviewed papers, citations, methodology. For commercial: focus on startups, market trends, competitive landscape. Agent adjusts source priorities.

researcher analyst founder AI briefing: personalized morning digest with news and tasks AI knowledge base: automatic FAQ from documents

Want OpenClaw — without the DevOps?

OpenKlo is managed hosting for the original OpenClaw. Same agent, live in 3 minutes.

Create your AI agent in 3 minutes

Cancel anytime · Top models included · Upgrade anytime