Spawn an AI agent for researchers.
Your agent scans the literature, extracts data from papers, drafts lit reviews, and keeps your reading list current — encoded with your research agenda.
- STEP 01
Describe the researcher workflow
Tell Spawnlabs which parts of the researcher job you want the agent to own. Pick from suggested workflows or write your own.
- STEP 02
The agent spawns
An agent is created. It studies your stack, writes the integrations it needs, and runs the first pass while you watch.
- STEP 03
It keeps running
From then on the agent runs on schedules and triggers, ships artifacts to your tools, and gets better with feedback.
The pitch: Research compounds on depth of reading. The agent multiplies the reading — surfacing what matters, extracting what's usable — so the researcher compounds faster.
Literature scanner
Watches arXiv, PubMed, SSRN, and key conferences. Summarizes new papers in your field weekly with relevance scores.
Paper extraction agent
From a PDF, pulls tables, figures, methodology summary, and key claims. Builds a structured record per paper.
Lit review drafter
Given a research question, drafts the literature review with proper citations in your style (APA / Chicago / MLA / custom).
Citation manager
Integrates with Zotero / Mendeley. Keeps bibliographies consistent across every doc.
Research meeting prep
Before each meeting, drafts the read-ahead — recent progress, open questions, what to decide.
For the full breakdown of what a researcher agent does, see the AI agent for researchers page.
How do I spawn an AI agent for researchers?
Open Spawnlabs and describe what you want a researcher agent to do — the workflows, the tools, the people it represents. The agent spawns with its own memory, writes the integrations it needs, runs the first pass while you watch, and then keeps running on schedules and triggers. Free to start, no code required.
What does a spawned researcher agent actually do?
Research compounds on depth of reading. The agent multiplies the reading — surfacing what matters, extracting what's usable — so the researcher compounds faster. Concretely: literature scanner, paper extraction agent, lit review drafter, and more — each running in the background and shipping results into the tools you already use.
Can I spawn multiple researchers agents?
Yes. Spawn one per workflow, per stakeholder, or per researcher on your team. Each agent has its own memory, scope, and access — so you can isolate work cleanly across the team.
How long does it take to spawn a researcher agent?
Five minutes from sign-up to a working first pass. The agent shapes itself around your specific stack and process during the first session, then keeps improving as you give it feedback.
Do I need to write code to spawn a researcher agent?
No. Describe the work in chat. The agent writes whatever scripts, integrations, and dashboards it needs to do the job. If you want to extend it later, you can — but the default flow is no-code.
What integrations will the spawned researcher agent use?
Whatever fits the workflow. Common picks for researchers: Zotero, Mendeley, Notion, Overleaf. The agent can also write its own integrations against any HTTP API on demand.
Spawn the researcher agent for the work that eats your hours.
Free to start. Five minutes from sign-up to a working agent.