Autonomous AI Agents That Run Your Research Tasks
Three specialized agents that search databases, analyze evidence, and deliver structured results in the background. Give one instruction, come back to finished work.
Critical research tasks that consume weeks of your time
Literature reviews, evidence monitoring, and hypothesis validation are essential to rigorous research, but they are also repetitive, time-consuming, and prone to human oversight. A single literature review can take two to four weeks. Keeping track of new publications across multiple projects is practically impossible without a dedicated team.
NousLab's AI Agents handle these tasks autonomously. You provide one instruction, and the agent searches databases, selects relevant papers, analyzes the evidence, and delivers structured results. All in the background, while you focus on the science that matters.
The results are integrated directly into your projects: papers are imported, syntheses are saved, scores are updated, and contradictions are flagged. No copy-pasting, no switching between tools.
Manual work vs NousLab Agents
Three agents, each built for a specific research workflow
From discovery to continuous monitoring, each agent handles a different stage of the research process autonomously.
Literature Review Agent
Give the agent a research topic or question. It searches 12+ databases simultaneously, selects the 15 to 20 most relevant papers, analyzes each one, and generates a structured literature review with a synthesis of findings, evidence gaps, and open questions. All papers are automatically imported into your project with full analysis.
Workflow steps
What you get
Real-world example
A research team investigating PARP inhibitors in BRCA-mutated cancers runs the Literature Review Agent with the instruction "PARP inhibitors efficacy in BRCA1/2 cancer patients". In under 10 minutes, the agent returns 18 analyzed papers from PubMed, Semantic Scholar, and ClinicalTrials.gov, plus a structured synthesis covering response rates, progression-free survival data, resistance mechanisms, and three identified evidence gaps for future investigation.
Research Review Agent
Select an existing research project. The agent reads your hypothesis, protocol, and roadmap together, then searches for supporting and contradicting evidence. It identifies weaknesses, updates novelty, feasibility, and impact scores, and proposes a refined version of your research that you can accept with one click or save as a new version.
Workflow steps
What you get
Real-world example
A biotech team runs the Research Review Agent on their lead hypothesis before a board presentation. In 8 minutes, the agent finds 3 contradicting papers published in the last month, identifies a weakness in the proposed sample size, updates the feasibility score from 7.2 to 6.1, and proposes a refined protocol version that addresses each issue. The PI reviews and accepts with one click.
Research Monitoring Agent
Set it once and let it run. Every week, the agent automatically scans all your active projects, searches for new relevant publications, evaluates the impact of each finding on your hypotheses (high, medium, or low), and delivers a digest so your team never misses a breakthrough or a contradiction.
Workflow steps
What you get
Real-world example
A pharmaceutical company with 12 active research projects enables the Monitoring Agent. Every Monday, the team receives a digest showing that 3 projects had high-impact publications in the past week, including one paper that contradicts a key assumption in their lead oncology hypothesis. The team knows exactly where to focus their attention without having searched a single database manually.
How AI Agents work
From one instruction to structured results in four steps. All autonomous, all in the background.
Give one instruction
Provide a research topic, select a hypothesis to review, or enable weekly monitoring. One sentence is all the agent needs to start working.
Agent searches evidence
The agent queries up to 12+ academic databases simultaneously, including PubMed, Semantic Scholar, OpenAlex, arXiv, and ClinicalTrials.gov, and selects the most relevant papers.
AI analyzes and synthesizes
The AI reads each selected paper, extracts structured data, identifies patterns and contradictions, and generates a comprehensive scientific output with citations.
You review the results
Review the agent's output when it is ready. Accept, save as a new version, or discard. You always have full control over what gets applied to your research project.
How a research lab uses the Literature Review Agent overnight
A contract research organization (CRO) supporting multiple pharmaceutical clients needs to prepare literature reviews for five different therapeutic areas simultaneously. Each review would normally require a researcher dedicating two to three weeks of full-time work, meaning the total workload across all five projects would take months.
On Friday afternoon, the research lead opens NousLab and launches a Literature Review Agent for each project. For the GLP-1 agonists project, the instruction is "GLP-1 receptor agonists and cardiovascular outcomes in type 2 diabetes". For the oncology project, "immune checkpoint inhibitors resistance mechanisms in non-small cell lung cancer". Each agent starts running autonomously.
Monday morning, the team arrives to find all five literature reviews complete. Each project now has 15 to 20 new analyzed papers imported automatically, a structured synthesis with key findings and evidence gaps, and all quantitative data extracted and ready for meta-analysis. The agents searched across PubMed, Semantic Scholar, OpenAlex, and ClinicalTrials.gov without any human intervention.
What would have taken the team months of manual work was completed over the weekend. The researchers can now spend their time interpreting results and writing manuscripts instead of reading and extracting data from hundreds of papers.
Frequently asked questions
What are AI Research Agents in NousLab?
AI Research Agents are autonomous tasks that run in the background without manual intervention. NousLab offers three specialized agents: the Literature Review Agent searches databases and generates structured syntheses, the Research Review Agent evaluates and refines your hypotheses against new evidence, and the Research Monitoring Agent scans for new relevant publications weekly. You give one instruction and the agent handles the rest.
How long does it take for an agent to complete a task?
Most agent tasks complete in 5 to 15 minutes depending on the complexity. The Literature Review Agent typically finishes in under 10 minutes, including searching 12+ databases, selecting relevant papers, and generating a synthesis. The Research Review Agent takes 5 to 10 minutes. The Monitoring Agent scans all your projects in a few minutes. All agents run asynchronously, so you can continue working or come back later.
Can I cancel a running agent?
Yes. Every agent job has a visible status tracker with progress steps. You can cancel any running agent at any time from the Agents panel. Partial results from completed steps are preserved when you cancel, so you never lose work that has already been done.
Which databases do the agents search?
The agents search across 12+ academic databases simultaneously, including PubMed, Semantic Scholar, OpenAlex, arXiv, bioRxiv, DOAJ, Europe PMC, Crossref, ClinicalTrials.gov, Orphanet, and OMIM. This gives access to over 250 million scientific papers covering biomedical research, clinical trials, preprints, and rare disease data.
Do I need my own API key for the AI agents?
Yes. NousLab agents use your organization's own API keys for AI processing. This means you have full control over costs and usage. NousLab supports Standard mode (cloud AI providers), Hybrid mode (mix of cloud and local), and Local mode (fully on-premise with local models) for organizations that require complete data sovereignty.
How does the Research Monitoring Agent work?
The Research Monitoring Agent runs automatically every week. It scans all your active projects, searches for new publications related to each project's topic and hypotheses, evaluates the impact of each new paper (high, medium, or low), and delivers a digest summarizing what changed. This ensures your team never misses a relevant publication or a contradiction to your current research direction.
Ready to put your research on autopilot?
See how NousLab's AI Agents can save your team weeks of repetitive research work every month.
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