Deep research · Any topic

Research that used to take weeks done in hours.

Five agents work in parallel: scanning sources, reading papers, checking facts, writing reports, and managing citations so you receive a finished document instead of a pile of tabs.

Deploy my research lab →

7 days free · Any topic, any depth

Your research lab · Active

online

🤖Web Researcher· Nova

working

▌

🤖Paper Analyst· Atlas

working

▌

🤖Fact Checker· Leo

working

▌

🤖Report Writer· Aria

ready

🤖Citations· Rex

idle

This page is about finished research output: synthesis, verification, reporting, and memory. It is intentionally different from general educational content about AI research because the commercial promise here is operational speed with traceable sources and reusable project context.

A research team that never loses focus

🌐

Multi-source scanning

Search the web, news, and uploaded documents in parallel so important context is harder to miss.

📚

Academic paper analysis

Read papers, pull findings, and synthesize claims into a usable view faster than a manual reading loop.

✅

Fact verification

Cross-check claims across sources and flag contradictions before they land in the report.

✍️

Structured report writing

Assemble everything into a memo, briefing, literature review, or internal report.

📎

Citation management

Track sources and format references so research remains auditable rather than hand-wavy.

Deep research, fully automated

🎯

Define the question

Give the team a topic, scope, and preferred output format.

🔬

Agents go deep in parallel

Web, paper, and fact-check workflows run simultaneously instead of serially.

📄

Receive the report

You get a structured document with sources, findings, and follow-up context preserved.

What you get in practice

📄

Executive memo

A concise top-line summary for stakeholders who need signal fast.

Key findings
Open questions
Source-backed claims

🧠

Deep synthesis report

A longer report with themes, evidence, and linked references for deeper review.

Thematic synthesis
Supporting citations
Follow-up paths

📚

Living research base

Files, citations, and prior context persist so future research starts ahead instead of from zero.

Saved corpus
Re-usable context
Faster follow-up briefs

Proof block

Research needs source-aware proof

These proof blocks show OpenClaw handling files, knowledge, and research-specific interfaces rather than pretending a chat box alone is enough for deep research.

Source files stay in the workflow

Upload PDFs, notes, and background docs so the research environment works on your real corpus.

9 files·8 indexed

Search…

Drop or click to upload

readme.txt

Project Context

This workspace belongs to Jason's AI agent team.

Goal

Build and ship the OpenClaw platform — a 1-click deployment tool for Claude Code agent teams.

Active agents

·Nova — research & market intelligence
·Rex — development & code review
·Aria — content & copywriting
·Leo — data analysis & forecasting
·Atlas — memory & context management
·Orion — integrations & automation

Instructions for agents

·Always check this file before starting a new task.
·Store important findings in memory (Atlas).
·Prefer short, actionable outputs over long reports.
·Escalate blockers immediately — do not retry more than 2×.

Current priorities

1.Finish landing page copy (Aria)
2.Analyze Q2 churn data (Leo) — see q2-metrics.csv
3.Monitor competitor pricing (Nova) — see marketing-research.txt

Linked resources

·codebase-summary.txt — technical architecture overview
·marketing-research.txt — market analysis and recommendations

TXT

readme.txt

3 KB · Mar 9, 2026

ready

Agents

🔍Nova· Researcher

🧠Atlas· Memory

Important constraints

Depth depends on the quality and availability of sources you provide or allow the team to access.

Outputs are source-backed research summaries, not infallible truth; high-stakes claims still need human review.

Research speed can be high, but very broad literature reviews still require scoping discipline.

Pricing fit

Team is the baseline for serious research work

Multi-agent research benefits from enough capacity to scan, verify, and write in parallel. Team is the practical entry point.

Solo

For individuals with basic tasks

$29/mo

CPU2 cores

RAM4 GB

Storage40 GB SSD

Agentsup to 3

✓20 specialized skills
✓All MCP servers
✓Telegram, Discord, Slack
✓Dashboard & analytics
✓File uploads (PDF, CSV, DOCX)
✓Email support

Start free

Popular

Team

For power users with diverse tasks

$59/mo

CPU4 cores

RAM8 GB

Storage80 GB SSD

Agentsup to 5

✓30 specialized skills
✓All MCP servers
✓All messenger integrations
✓Dashboard & analytics
✓File uploads
✓Custom domain
✓Priority support

Launch team

Studio

For maximum performance

$99/mo

CPU8 cores

RAM16 GB

Storage160 GB SSD

Agentsup to 8

✓40 specialized skills
✓All MCP servers
✓All messenger integrations
✓Dashboard & analytics
✓File uploads
✓Custom domain
✓Webhooks & automations
✓Priority support

Launch Studio

Solo can handle lighter research tasks, but deeper multi-source reports are where Team starts to make sense.

Frequently asked questions

Any topic with accessible public or uploaded material: business, science, technology, markets, policy, and more.

Yes. Upload PDFs and other files so the team works from your own materials alongside public sources.

Focused briefs can take tens of minutes; broader and denser work takes longer depending on scope.

Yes. The system can work across many major languages when the source material is available.

Keep exploring adjacent use cases

AI Startup Team

The research team you can't afford to hire.

This page sits close to /for-business in theme but remains distinct: it is about startup intelligence, not cost reduction across a generic small-business department. The promise is faster founder decision-making through research, competitor tracking, and insight synthesis.

For Developers

Your AI agent stack, shipped in 60 seconds.

This is the commercial page for builders who want managed infra, not a beginner tutorial. The setup and MCP pages explain how the pieces work; this page explains why paying for managed hosting can be the faster engineering choice when the goal is shipping workflows.

Supporting reads for this buying intent

2026-03-02

Research that used to take weeks done in hours.

A research team that never loses focus

Multi-source scanning

Academic paper analysis

Fact verification

Structured report writing

Citation management

Deep research, fully automated

Define the question

Agents go deep in parallel

Receive the report

What you get in practice

Executive memo

Deep synthesis report

Living research base

Research needs source-aware proof

Project Context

Goal

Active agents

Instructions for agents

Current priorities

Linked resources

Important constraints

Team is the baseline for serious research work

Solo

Team

Studio

Frequently asked questions

Keep exploring adjacent use cases

The research team you can't afford to hire.

Your AI agent stack, shipped in 60 seconds.

Supporting reads for this buying intent

AI Agents for Beginners: What They Are and How to Use Them

What Is OpenClaw? The AI Agent Team for Non-Developers

The Real Cost of Self-Hosting OpenClaw (It's Not Just the VPS)