최근 완료된 8시간 회차 사이 GitHub 스타 증가량 순
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
Rust 코드를 실시간으로 편집하고, 실행 중인 프로그램에서 밀리초 단위로 변화를 확인
TraceRoot는 오픈소스 에이전트‑네이티브 개선 레이어로, 생산 추적·탐지 신호·평가를 코딩 워크플로에 통합합니다
대만 제작, 단일 Go 바이너리 자체 호스팅 AI 에이전트, 도구 작성·테스트·MCP로 Claude Code·Codex 공유
대형 AI 모델을 내 PC에서 실행: Strata 엔진에서 Qwen3.8‑Flash‑Next, GLM 5.3 Flash 등 다양한 모델 지원
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
The local-first workspace for research agents and autoresearch.
Turn Claude Code,
Codex,
OpenCode,
Cursor, or Google Antigravity into research agents that can review
literature, develop hypotheses, run experiments, and produce research artifacts.
macOS 11+ · Windows beta requires Git for Windows
Install the CLI on macOS or Linux, then launch OpenResearch:
orx up opens the local dashboard at http://127.0.0.1:4791.README 전문 보기 ↗The local-first harness & workspace for research agents.
We recommend using the OpenResearch desktop app. Download it for your platform:
curl -LsSf https://openresearch.sh/install.sh | sh
orx up
orx up opens the local dashboard at http://127.0.0.1:4791.
On a managed Mac, device-management policies may block the CLI installed by
install.sh because it is not yet signed. Use the signed and notarized desktop
app instead. You can also install orx for your terminal from the app's
Settings → Updates → Install the orx command.
Create an account at openresearch.sh to receive email updates and use managed OpenResearch compute.
Use your favorite coding agent. OpenResearch works natively with Claude Code, Codex, OpenCode, Cursor, and Google Antigravity. You can also use a local model with OpenCode through LM Studio, oMLX, Ollama, or a custom endpoint.
Ground research hypotheses in the latest literature. OpenResearch integrates with alphaXiv, bioRxiv, and PubMed so agents can find relevant papers, develop informed hypotheses, and connect their experiments to existing research.
Choose your compute. Run experiments locally or use SSH, Slurm, Kubernetes, Modal, Tinker, Ray, Hugging Face Jobs, and managed OpenResearch compute.
Give agents a memory of every experiment. OpenResearch records every experiment in a local SQL database and keeps its logs, code, and artifacts on your machine so that agents can learn from past results and decide what to try next. The desktop app makes it easy to see what your agents have done and inspect the evidence behind each result.
Keep and own your research. Run entirely locally. We don't collect your code or agent traces. Your projects, conversations, experiments, logs, and artifacts stay on your machine, under your control.
Official release builds send opt-out, coarse product analytics events and detailed agent feedback in the background tied to a random installation ID. Your code, prompts, file contents or paths, repository names, tokens, emails, or project and experiment identifiers are not collected. Anonymized token/message counts are used to identify which models are being used across OpenResearch and can be seen at https://openresearch.sh/rankings. Feedback reports from the agent are sent for bug reports, feature requests, and general frustrations about OpenResearch. Agents are instructed to sanitize reports to exclude any sensitive information about your research or code.
You can turn off all usage analytics and agent feedback in the desktop app's
Settings or with orx telemetry off.