For Researchers
Research Assistant That Learns Your Field
How researchers use Hermes for literature review, paper summarization, and hypothesis testing.
Research is cumulative, but most AI tools are amnesiac — they can't build on yesterday's findings. Hermes persists what it learns across sessions, so your literature notes, sources, and open questions accumulate into a knowledge base the agent can actually reason over.
Beyond answering, Hermes acts: it can run scheduled monitoring of new papers, extract structured data with tools, and deliver briefings on a schedule, turning one-off queries into an ongoing research assistant.
What Researchers Struggle With
- ✗Information overload
- ✗Lost in papers
- ✗Hard to track findings
How Hermes Helps Researchers
- ✓Summarizes papers
- ✓Tracks citations
- ✓Learns domain knowledge
Popular Use Cases for Researchers
What Hermes does for Researchers
Knowledge that compounds
Persistent memory means findings, sources, and questions build over time instead of resetting each session.
Scheduled literature monitoring
Cron jobs can watch for new work and deliver summaries so you don't manually re-search every week.
Private by default
Self-host with a local model to keep sensitive or unpublished research entirely on your own machine.
Frequently asked questions
Can Hermes track an ongoing research topic?
Yes — combine persistent memory with scheduled tasks so it monitors a topic and briefs you on new developments over time, not just once.
Is it safe for unpublished work?
Self-hosted with a local model, nothing leaves your machine, which suits confidential or pre-publication research.
Do I have to self-host Hermes?
No. Hermes is open source and self-hostable for full control, but if you'd rather not run a server, the managed FlyHermes option deploys it for you in about a minute. You keep the same agent, memory, and skills either way.
The AI employee built for Researchers
Try FlyHermes in 60 seconds, then go deeper only if you need to.
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