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AI workspace that accelerates research processes

AlphaXiv is a framework that allows you to run parallel research agents using different AI models. Developed in Rust, this open-source tool aims to accelerate data collection processes in academic and technical research.

Updates

  • September 12, 2026: Stars 1,456 → 1,457, latest release v0.2.1 (September 12, 2026).

What you get

  • Creates independent and parallel agent sessions for different research ideas.
  • Provides traceability by keeping experiment results, logs, and code changes together.
  • Autonomously manages research cycles on your local computer or remote servers.

Installation

Installation on macOS or Linux
curl -LsSf https://openresearch.sh/install.sh | sh

Running it

Launch local dashboard
orx up

If you don't write code

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

I want to start a research project on OpenResearch. Using an AI agent like Claude Code or OpenCode, I want you to conduct a literature review, develop hypotheses, and design experiments to test these hypotheses. Throughout the study, manage the process autonomously by recording all findings, experiment results, and code changes in the OpenResearch local workspace.

Related dictionary terms

Research AgentsRustArtificial Intelligence
Who it is forSuitable for researchers who want to automate data collection, experimentation, and literature review processes in their academic or technical research.
LicenseMIT

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-12: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.