Sno Station
Sno Station은 AI 에이전트를 하나의 팀으로 묶는 오픈소스 워크스테이션으로, 로컬 머신에서 에이전트 협업을 가능하게 함
작업을 한 문장으로 설명하면, 전문 AI 에이전트가 계획·구축·검토·테스트·문서화하고 실시간으로 과정을 확인
Describe the task in one sentence. Specialist AI agents plan, build, review, test and document it — and you can watch every step live.
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One Agent does the work. A team of agents gets it done. Not just SDLC — orchestrate any workflow inside Orca ADE, with configurable steps, agents, and harnesses.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Orca Flow Kit — Any AI Workflow, Not Just SDLC
Describe a multi-step job once, in one JSON file. Specialist AI agents each do one step, write the result to disk, and hand it to the next. You can watch the run live, failures loop back automatically, and every verdict can go to your team's chat. No code needed.
Driving AI agents by hand doesn't hold up on real work. Prompts get passed between terminals, a new chat forgets earlier decisions, and nothing forces a review or a test to happen.
This kit runs on Orca ADE and turns any multi-step job into an assembly line:README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
Orca Flow Kit — Any AI Workflow, Not Just SDLC
Describe a multi-step job once, in one JSON file. Specialist AI agents each do one step, write the result to disk, and hand it to the next. You can watch the run live, failures loop back automatically, and every verdict can go to your team's chat. No code needed.
Driving AI agents by hand doesn't hold up on real work. Prompts get passed between terminals, a new chat forgets earlier decisions, and nothing forces a review or a test to happen.
This kit runs on Orca ADE and turns any multi-step job into an assembly line:README 전문 보기 ↗