OpenResearch
OpenResearch from alphaXiv is a local-first workspace that turns Claude Code, Codex, OpenCode, or Cursor into research agents that review literature, form hypotheses, edit code, launch experiments, inspect results, and produce research artifacts. `orx up` starts a local dashboard on 127.0.0.1:4791 backed by SQLite; each research direction gets its own agent session and isolated git worktree, and variants are tracked in a git-native experiment tree where every run receives an immutable archive of its recorded commit with logs, diffs, and artifacts tied to it. In autoresearch mode, agents run the full propose → change → launch → inspect → decide loop autonomously, in parallel. The same committed snapshot can execute locally, over SSH (`orx up --remote user@host`), or on Slurm, Kubernetes, Ray, Hugging Face Jobs, Modal, Tinker, and managed compute, and `orx install-skills` adds an OpenResearch skill to supported coding agents along with `orx discover` and `orx paper` for literature lookup.
~4.1k GitHub stars and 340+ commits as of September 2026; reached #1 on GitHub Trending for the day and added Cursor as a supported agent and a Windows beta in September 2026.
As of
- Turns Claude Code, Codex, OpenCode, or Cursor into research agents with harness and model chosen per session
- Parallel agent sessions in isolated git worktrees with a git-native experiment tree
- Autonomous autoresearch loop: propose, change code, run, inspect evidence, iterate
- Run the same snapshot locally, over SSH, or on Slurm/Kubernetes/Ray/Modal/HF Jobs/Tinker
- Local-first SQLite store with projects, runs, logs, and artifacts kept on your machine
- `orx` CLI plus installable agent skill, arXiv/DOI paper lookup, and local-model support via LM Studio, Ollama, or oMLX
ML researchers and engineers who want coding agents to run reproducible, parallel experiments with lineage tracking instead of ad-hoc notebooks and scratch branches.
General app development or teams that need multi-user auth on the workspace (the remote service binds to loopback with no application-level authentication). Official builds send opt-out coarse usage analytics.
Free and open-source under MIT; install with `curl -LsSf https://openresearch.sh/install.sh | sh` (macOS/Linux) or the Windows beta download. Runs on your own hardware or remote hosts; an openresearch.sh account is only needed for optional managed OpenResearch compute and organizations.
A well-scoped bridge between coding agents and rigorous experiment tracking; the git-native experiment tree and multi-backend execution make autoresearch practical beyond a laptop.
Is OpenResearch free?
Yes - OpenResearch is Open Source. Free and open-source under MIT; install with `curl -LsSf https://openresearch.sh/install.sh | sh` (macOS/Linux) or the Windows beta download. Runs on your own hardware or remote hosts; an openresearch.sh account is only needed for optional managed OpenResearch compute and organizations.
Is OpenResearch open source?
Yes - OpenResearch is open source. Free and open-source under MIT; install with `curl -LsSf https://openresearch.sh/install.sh | sh` (macOS/Linux) or the Windows beta download. Runs on your own hardware or remote hosts; an openresearch.sh account is only needed for optional managed OpenResearch compute and organizations.
Who is OpenResearch best for?
ML researchers and engineers who want coding agents to run reproducible, parallel experiments with lineage tracking instead of ad-hoc notebooks and scratch branches.
Who is OpenResearch not ideal for?
General app development or teams that need multi-user auth on the workspace (the remote service binds to loopback with no application-level authentication). Official builds send opt-out coarse usage analytics.
What are the best OpenResearch alternatives?
The closest OpenResearch alternatives on ai.dosa.dev are Jules, OpenHands, SWE-agent - all listed under Autonomous & Async Agents.
Who makes OpenResearch?
OpenResearch is developed by alphaXiv. It is listed in the Autonomous & Async Agents category on ai.dosa.dev.
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