Zotero MCP
Lets your AI assistant search, read, summarise and annotate papers in your Zotero library
by Steven Yu
AIPOCH Open-Science
by AIPOCHAgentResearch something
Hands research tasks to AI agents that read papers, run analyses and record each step
About AIPOCH Open-Science
AIPOCH Open-Science is an open-source desktop app for scientific research on Mac, Windows and Linux. You pose a question and add data or papers; its agents search literature, run analyses and return reports and charts.
For Scientists and researchersGraduate studentsResearch teams
Made by AIPOCH
AIPOCH publishes Open-Science as open source on GitHub. Its GitHub profile says it builds for scientific research and lists Singapore as its location.
- Stars
- ★ 5.4k
- License
- Apache-2.0
- Cost
- Usage-based
- Platforms
- Mac · Win · Linux
- Level
- Intermediate
Screenshots
From the project's own repository · 3 images, swipe or use the arrows.
Overview
AIPOCH Open-Science is a desktop research workbench from AIPOCH. You set up a project, explain your research question in everyday words and add your data or papers; its agents look up literature, run Python or R analyses, pull from scientific databases and return reports, tables and charts. Each result is kept as a fixed version with the code and inputs behind it, where they were captured, so you can check or share it later. It suits scientists, students and research teams.
Each figure or table gets a Provenance view of the code, inputs and steps behind it, which makes AI-assisted analysis easier to check.
Try these first
Start with the first one: it is a small task you can check easily.
- Summarise this CSV in one table and one chart: [attach file]. Ask before running any code.First try · runs code
- Find recent papers on [topic] and list each one's main finding with a link.
- Reproduce the differential expression analysis from this paper with the same thresholds: [attach paper]runs code
- Make a volcano plot from this gene expression table and show me the code that produced it: [attach file]runs code
Example prompts written by Agent Flows Hub.
Features
From the creator's documentation.
| Feature | What it does | Runs |
|---|---|---|
| Research agents | Plan and run multi-step tasks with Claude Code, OpenCode, Codex or CodeBuddy as the backend | Your model provider |
| Python and R | Run notebooks, scripts and shell work locally, or on a remote host over SSH or Slurm | Your computer |
| Literature library | Import papers and PDFs, read them, extract figures and tables, import from Zotero | Your computer |
| Scientific connectors | Built-in connectors to scientific data sources, plus your own MCP connectors | Outside services |
| Provenance | Each result is kept as a fixed version; its Provenance view shows the code, inputs and run history it captured | Your computer |
| Research packages | Export a session as a .science file for review, handoff or archiving | Your computer |
Good to know
Describe a research question, attach the data or papers, and let the agents run the literature search and analysis. The reports, tables and figures stay in the project, and each one’s Provenance view shows the code, inputs and steps behind it.
Limits
- Model requests send your prompt and needed context to the provider you choose, and web searches and connectors contact outside services. Review attachments that may hold sensitive research data.
- Choose the permission mode with care: Ask for approval suits new work, while Full access lets the agent edit files, run commands and use the network without asking.
Notes by Agent Flows Hub (original project name: AIPOCH Open-Science), written from the creator's documentation, not from running it ourselves. AIPOCH Open-Science README · AIPOCH Open-Science download page
Stuck setting it up?
Tell us what happened. We take a look first; if it needs paid work, you get an estimate before anything starts.
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