Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
这是一个实用的现实世界自动化项目,结合了屏幕记录、AI智能体编排和个人生产力,具备隐私优先的设计和反馈循环,能优化未来的审计。
Every morning, an agent reconstructs yesterday from my Coast screen history, finds the loose ends — things I left unfinished, never sent, or forgot to follow up on — and publishes a recap page with cropped screenshot evidence. A push notification lands on my phone when it's ready. Marking an item complete on the page feeds back into the next morning's audit.
(full quality: docs/demo.mp4)
run.sh + prompt-template.md) with a random jitter.history/), the previous
recap JSON, and which items I marked complete on the page
(state/interactions.json).scripts/crop-evidence.py), then looks at each crop with vision and
only ships images that actually show the claimed evidence.site/data/.json. The Bun server renders it as a per-day
page (/july-28th-2026) with an archive at /.scripts/sync.sh) pushes the site to an
exe.dev box (auth-gated HTTPS) and merges item
interactions in both directions. The first sync after a new recap fires a
Hark push notification with a tap-through to the
day's page.| Path | What it is |
|---|---|
run.sh | Morning entrypoint: date substitution, jitter, headless opencode2 run --auto |
prompt-template.md | The agent's brief: memory, subagents, synthesis rules, crop verification, output schema |
scripts/crop-evidence.py | Frame + on-screen text → OCR-box union → padded sips crop |
scripts/sync.sh | Two-way state merge + site push to the box + once-per |
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Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.

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