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what is openclaudescience fr?

qzzqzzb/openclaudescience — explained in plain English

Analysis updated 2026-05-18

82TypeScriptAudience · researcherComplexity · 4/5LicenseSetup · moderate

tl;dr

A local first, open source research workspace where an AI agent helps you read papers, analyze data, and manage scientific files, similar to Claude Science but self hostable.

vibe map

mindmap
  root((InternAgentS))
    What it does
      Chat based research agent
      Reads and analyzes papers
      Manages scientific files
    Tech stack
      Python
      TypeScript
      Next.js
      LangGraph
    Use cases
      Summarize research papers
      Preview scientific files
      Run remote compute jobs
    Audience
      Researchers
      Developers
    Design
      Local first data
      Reusable skills
      Human approval gates

Code map

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what do people make with this?

VIBE 1

Chat with an AI agent that can read, summarize, and compare research papers

VIBE 2

Browse and preview scientific files like PDFs, molecular structures, and datasets in one workspace

VIBE 3

Enable reusable skills for literature search, figures, or domain specific research workflows

VIBE 4

Approve an agent's request to run a compute job on a remote Linux server over SSH

what's the stack?

PythonTypeScriptNext.jsLangGraphDeepAgents

how it stacks up fr

qzzqzzb/openclaudescience2latemc/justanothermusicclientio-software-ai/palserver-gui
Stars828282
LanguageTypeScriptTypeScriptTypeScript
Setup difficultymoderatemoderateeasy
Complexity4/53/53/5
Audienceresearchergeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · moderate time til it works · 30min

Requires configuring a model provider API key and, for remote compute, an SSH host from your local SSH config.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

in plain english

InternAgentS is an open source attempt to recreate the experience of Anthropic's Claude Science tool for researchers, but built so it can run on your own machine instead of relying on a fixed cloud service. It is a chat based workspace where an AI agent helps with real scientific work: reading papers, analyzing results, making figures, writing documents and slides, and running research specific workflows, all built on top of two existing agent frameworks called DeepAgents and LangGraph. The interface is organized into three parts: a left sidebar for navigating projects, sessions, and settings, a center panel for chatting with the agent, and a right panel showing your project's files, previews, and information about what the agent is doing behind the scenes. Instead of the agent grabbing files directly off your computer, it goes through a defined workspace system, so file browsing, search, and previews of things like PDFs, Office documents, images, and even molecular structures all work in a consistent, controlled way. A key idea is reusable skills, meaning packaged capabilities such as literature search or result analysis that can be turned on for a project or a single conversation. It also supports connecting outside tools through a plugin style protocol, and lets you choose which AI model powers the agent, whether that is a cloud service, a private gateway, or a model running on your own hardware. One more advanced feature lets you register a remote Linux computer over SSH, so the agent can send it larger compute jobs to run in the background. Nothing runs automatically here: the agent proposes the job, it shows up in the chat as something you have to explicitly approve, and only then does it get submitted and its results collected back into your workspace. The stated priority throughout is keeping your files, credentials, and workspace state on machines you control by default, rather than requiring any particular company's cloud infrastructure. It uses Python and TypeScript with a Next.js interface, and is released under the MIT license.

prompts (copy fr)

prompt 1
Help me set up InternAgentS locally and connect it to a model provider of my choice.
prompt 2
Explain how InternAgentS's skill catalog system works and where imported skills are stored.
prompt 3
Show me how to register a remote SSH host in InternAgentS for compute jobs.
prompt 4
Walk me through InternAgentS's MCP connector configuration files and what they control.

Frequently asked questions

what is openclaudescience fr?

A local first, open source research workspace where an AI agent helps you read papers, analyze data, and manage scientific files, similar to Claude Science but self hostable.

What language is openclaudescience written in?

Mainly TypeScript. The stack also includes Python, TypeScript, Next.js.

What license does openclaudescience use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is openclaudescience to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is openclaudescience for?

Mainly researcher.

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