FrameHarbor는 소프트웨어 품질 워크플로우를 위한 비주얼 저널입니다. 전통적인 QA 도구는 실패의 순간에 단일 스크린 샷을 캡처, FrameHarbor 지속적으로 데스크탑 또는 장치 뷰 포트에서 프레임의 회전 테이프를 직물, 다음 모델 Context 프로토콜 (MCP)을 통해 AI 조수에 테이프를 노출. 스크린을위한 등대 키퍼로 생각하십시오 : 잠을 결코, 그것은 모든 파의 모양을 기억하고, 폭풍이 보이지 않을 때, 증거의 광속은 이미 기다리고 있습니다.

반응형 chore보다 품질 보증을 치료하는 팀에 내장 된 FrameHarbor는 구조화 된 수동 스크린 시간을 변환, 검색 가능, context-rich artifacts. 각 프레임은 빵 부스러기입니다. 각 세션은 트레일입니다. 각 조사는 AI collaborator와 함께 프레임에 의해 프레임을 재생할 수 있는 이야기입니다.

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의 철학 뒤에 FrameHarbor

대부분의 Observability stacks는 서버용으로 설계되었으며, 메시, 인간, pixel-driven world of front-end behavior가 아닙니다.

🎞️ FrameHarbor — Temporal Evidence Vault for AI Quality Assurance

FrameHarbor is an ambient, always-on visual journal for software quality workflows. Where traditional QA tools capture a single screenshot at a moment of failure, FrameHarbor continuously weaves a rolling tapestry of frames from your desktop or device viewport, then exposes that tapestry to AI assistants through the Model Context Protocol (MCP). Think of it as a lighthouse keeper for your screen: it never sleeps, it remembers the shape of every wave, and when the storm hits, the beam of evidence is already waiting.

Built for teams who treat quality assurance as an observational science rather than a reactionary chore, FrameHarbor transforms passive screen time into structured, searchable, context-rich artifacts. Each frame is a breadcrumb; each session is a trail; each investigation is a story you can replay frame by frame alongside an AI collaborator.

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🌅 The Philosophy Behind FrameHarbor

Most observability stacks were designed for servers, not for the messy, human, pixel-driven world of front-end behavior. A backend trace tells you a function took 340ms; it will not tell you that the toast notification appeared underneath the modal, that the spinner froze at 87%, or that the cursor visibly crossed into a dead zone. FrameHarbor was born from the conviction that visual memory is a first-class debugging primitive.

The metaphor is a harbor. Ships (events) come and go, but the harbor itself persists — logging tides, weather, and the shape of every hull that passed. FrameHarbor is that harbor for your viewport. It runs quietly in the background, discards what ages out of relevance, and preserves a rolling window of frames that any MCP-aware assistant can later query with natural language.

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🧭 Table of Contents

• Core Capabilities
• Architectural Overview
• MCP Surface Area
• Feature Highlights
• Responsive and Adaptive Interface
• Multilingual Reach
• Availability and Assistance