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OpenResearch

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A local-first workspace that turns coding agents into research agents for literature review, hypothesis testing, and experiment tracking.

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Download Download Version

v0.2.21 · 90.9 MB

Turn your existing coding agents into research agents that read papers, run experiments, and remember every result, all locally.

Core Features

  • Works with the coding agents you already use: Claude Code, Codex, OpenCode, Cursor, and Google Antigravity
  • Grounds hypotheses in live literature from alphaXiv, bioRxiv, and PubMed
  • Runs experiments on local machines, SSH, Slurm, Kubernetes, Modal, Ray, or Hugging Face Jobs
  • Records every experiment in a local SQL database so agents learn from past results
  • Local-first and private: no code or agent traces collected, and analytics are opt-out

What It Can't Do

  • •Windows support is in beta and requires Git for Windows; the Linux build needs glibc 2.35+. OpenResearch is not a model itself, so it needs a coding agent like Claude Code or Codex, or a local model via Ollama or LM Studio. Release builds send opt-out anonymized analytics, which you can disable in Settings or with the command orx telemetry off. On managed Macs, the unsigned CLI installer may be blocked, so use the signed desktop app instead.

Use Cases

  • Researchers who want an AI copilot to review papers, propose hypotheses, and run experiments end to end
  • ML engineers automating experiment sweeps with a searchable, agent-readable history of every run

OpenResearch is an open-source, local-first workspace from alphaXiv that turns everyday coding agents—Claude Code, Codex, OpenCode, Cursor, and Google Antigravity—into full research agents. It lets agents review literature via alphaXiv, bioRxiv, and PubMed, develop hypotheses, run experiments on your choice of compute (local, SSH, Slurm, Kubernetes, Modal, Ray, Hugging Face Jobs, or managed cloud), and store every log, artifact, and result in a local SQL database so agents learn from past runs. Unlike cloud-hosted experiment trackers such as Weights & Biases or MLflow, OpenResearch is local-first: your code, conversations, and data never leave your machine, and analytics are opt-out with a single toggle. Compared with building a custom agent stack with LangChain, it works out of the box with the coding agents you already use, adding research memory and literature grounding instead of replacing your tools. Available as a desktop app for macOS, Windows (beta), and Linux, plus an optional CLI (orx).

Tags

ai-agentsresearch-automationexperiment-trackinglocal-firstllm-tools

Getting Started

1

Download installer

Click the button above to download the installer for your system

2

Install the software

Install the appropriate package for your distro (dpkg / rpm / AppImage)

3

Download the installer for your platform (macOS, Windows beta, or Linux) from GitHub Releases

4

Open the installer and follow the setup prompts

5

Launch the app and connect your preferred coding agent, such as Claude Code or Codex

Install Guide
  1. Download the installer for your platform (macOS, Windows beta, or Linux) from GitHub Releases
  2. Open the installer and follow the setup prompts
  3. Launch the app and connect your preferred coding agent, such as Claude Code or Codex
File Integrity

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SHA256 Checksum

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Open Source Transparency

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Environment Guide

Uninstall Info

On macOS, drag the app to the Trash; on Windows, uninstall via Settings > Apps; on Linux, simply delete the AppImage file. To remove all data, also delete the local project data directory and the optional orx CLI.

No Extra Dependencies

Ready to use after download. No additional runtime required.

Project Info
LicenseMIT
Last Updated2026-10-23 11:53:51
GitHub RepositoryOfficial Website

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