synthetic-sciences/opensciencePublic

The open-source AI workbench for scientific research

AI summary: An open-source AI workbench that autonomously conducts end-to-end scientific research.

Stars
3.1K
+18 today
Forks
425
Watchers
15
Open issues
4
Open PRs
3
Contributors
~6
Commits
381
Branches
5

TypeScriptApache-2.0Created Jul 3, 2026Last push 1d agoLatest release v2.0.1+169 stars this week+169 this month

Star history

since Jun 28, 2026
01K2K3KJun 2026Jul 2026Jul 2026Aug 2026
3.1K stars as of Aug 6, 2026, tracked back to Jun 28, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

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359 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Breakout launch

    3,092 stars in 35 days

  • Rising fast

    +169 stars this week

  • Actively maintained

    Pushed within 48 hours

  • Well documented

    High community health score

  • Permissive license

    Apache-2.0

  • Continuous integration

    Automated checks passing

What openscience does

OpenScience is an ambitious AI-driven platform designed to automate the scientific research process. Users provide a high-level goal, and the system autonomously reviews relevant literature, writes code to perform experiments, executes that code, and analyzes the results. It attempts to close the loop on research by summarizing its findings in a written format, effectively acting as an autonomous research assistant. The workbench integrates various tools for literature search, code execution, and data analysis into a cohesive workflow. It aims to accelerate scientific discovery by automating the mechanical aspects of research.

Researchers, data scientists, and academics looking to automate parts of their workflow. AI developers interested in building autonomous agents for complex, multi-step problem solving.

  • Autonomous research loop: Capable of planning, executing, and summarizing research tasks based on a simple goal.
  • Literature review integration: Automatically searches and reads relevant scientific literature to inform its work.
  • Code generation and execution: Writes, debugs, and runs code to perform required experiments or data analysis.
  • Automated write-ups: Synthesizes experimental results and literature into cohesive reports or summaries.
  • Open-source architecture: Provides a transparent, modifiable workbench for the scientific community.

Where teams use it

Exploratory data analysis

Tasking the agent to find a dataset, analyze it for specific patterns, and write a summary report.

Literature synthesis

Asking the system to review recent papers on a topic and compile a comprehensive summary of the current state of the art.

Automated experimentation

Running computational experiments or simulations across various parameters without manual intervention.

Research assistance

Delegating the initial, time-consuming stages of a research project to an AI agent to accelerate discovery.

Getting started: Follow the installation instructions in the README or visit openscience.sh/docs for a quickstart guide.

README

main branch
OpenScience

The open-source AI workbench for scientific research

Give it a goal. It reads the literature, writes and runs code, runs the experiments, and writes up what it found.


CI npm license docs

Install · Quickstart · Docs · Atlas


OpenScience is an AI workbench for scientific research. You give it a goal, and it works through the research loop the way a capable collaborator would. It reads the papers that matter, forms a hypothesis, writes and runs code, runs experiments on real compute, queries the major scientific databases, and writes up the result. It runs as a workspace in your browser and works with any frontier or open-weight model from Anthropic, OpenAI, Google, and dozens of other providers, using your own API keys. No account is required.

It is model-agnostic, open source, and built to do real work in machine learning, biology, physics, and chemistry.

What it does

  • Runs the whole loop. Literature review, hypothesis, code, experiment, analysis, and write-up, in one continuous session.
  • Research agents. A research agent by default, plus biology, physics, and ml specialists, with critique and literature-review sub-agents and a read-only plan mode.
  • 290+ skills. Training (DeepSpeed, PEFT, TRL), evaluation, dataset work, molecular and clinical biology, cheminformatics, papers and LaTeX, figures, and cloud compute (Modal, Tinker, and others).
  • Scientific databases as tools. UniProt, PDB, Ensembl, ChEMBL, PubChem, arXiv, OpenAlex, Semantic Scholar, and around 30 more, queryable directly by the agent.
  • A real workspace. A browser UI with a file tree, an editor, a terminal, session history, and inline rendering for molecules, structures, genomes, and plots.
  • Extensible. LSP integration, MCP servers, plugins, custom agents and commands, and a TypeScript SDK.

Install

Install with npm, then open the workspace:

npm install -g @synsci/openscience
openscience

The command is openscience, and it opens the workspace in your browser. The first time you run it, a short setup walks you through how to power the models — Atlas managed models, your own provider keys, or skip and start on the free demo models. If you would rather not install it globally, npx synsci does the same thing in a single step:

npx synsci

Platform binaries are also attached to GitHub Releases; see the changelog for what's new in each version.

Linux installs require kernel 5.1 or newer. Glibc builds require glibc 2.17 or newer, and musl builds are published separately. CentOS 7's stock 3.10 kernel is not supported even though its glibc version meets the minimum; use a newer host kernel or VM.

Quickstart

Set an API key from any provider (ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, and so on) and start the workspace:

export ANTHROPIC_API_KEY=sk-ant-...
openscience

openscience opens the workspace in your browser. Your keys stay on your machine and requests go straight to the provider. You can also run openscience keys add to store a key from the terminal, add keys from the Credentials panel, and pick a model from the model selector. To open the workspace in a specific project:

openscience ~/code/my-project

Atlas

Atlas is Synthetic Sciences' managed platform. It gives you a curated set of frontier models billed from a prepaid wallet, so you do not need per-provider keys, plus a persistent research graph and cloud compute. OpenScience works with Atlas but never requires it.

openscience login          # connect your Atlas account
openscience wallet         # check your balance and top up

Bring-your-own-key usage is always free and is never gated — Atlas only meters the models it serves. Use openscience status to see what you are connected to, and openscience logout to disconnect.

How it works

OpenScience runs a local server that hosts the workspace UI, the agent runtime, and the tool layer. The agent plans with a research harness, calls tools (shell, editor, LSP, MCP servers, scientific connectors, and skills), and streams its work back to the browser. Models are routed per request, so you can switch between providers or run local models without changing anything else. Sessions, artifacts, and provenance are stored on disk and can be shared as links.

Path Contents
backend/cli The CLI, server, provider integrations, sessions, and skills
frontend/workspace The browser workspace UI, served by the CLI
frontend/docs The documentation and session-share site
tooling/sdk/js The TypeScript SDK
tooling/plugin The plugin runtime

Configuration

Global config lives in ~/.config/openscience/openscience.json. Project config lives in openscience.json or a .openscience/ directory at the repo root (schema). Custom agents, commands, tools, plugins, and themes load from those directories.

Development

You need Bun 1.3 or newer.

bun install
bun dev
bun run typecheck
bun run --cwd backend/cli test
bun run --cwd backend/cli build

bun dev runs the workspace from source, and bun run --cwd backend/cli build produces the platform binaries.

See ARCHITECTURE.md for how the system fits together, CONTRIBUTING.md for how to contribute, AGENTS.md for the style guide, and CODE_OF_CONDUCT.md for community standards.

Security

The agent is not sandboxed. The permission system keeps you aware of what the agent is doing; it is not an isolation boundary. Run inside a container or VM if you need isolation. Provider and synced credentials are filtered out of subprocess environments and redacted from output. To report a vulnerability, see SECURITY.md.

License

Apache License 2.0. See LICENSE and NOTICE.

OpenScience is an independent project. It is not affiliated with, endorsed by, or sponsored by Anthropic. "Claude" is a trademark of Anthropic, PBC, used here only to describe compatibility.

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16 total
  1. v2.0.1v2.0.1Jul 29, 202624 downloads

    Initial release

  2. v2.0.0v2.0.0Jul 29, 202630 downloads

    Initial release

  3. v1.3.5v1.3.5Jul 27, 2026102 downloads

    Initial release

  4. v1.3.4v1.3.4Jul 11, 20261.5K downloads

    Initial release

  5. v1.3.3v1.3.3Jul 10, 2026171 downloads

    Initial release

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Jul 11, 2026daily#6+3
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