Heatwayve

app.heatwayve由 heatwayve.app 發布官方發布者v1.0.0更新於 Nov 3, 2026

唯讀的 Heatwayve 訓練工具:計劃、訓練課、負荷、舉重歷史。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Read-only Heatwayve training tools: programme, sessions, loads, lift history.

已驗證Streamable HTTP可網頁執行

概覽

Heatwayve 的託管 MCP 服務(heatwayve.app),由 heatwayve.app 發布;需要 OAuth 登入;Streamable HTTP。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

發布者
heatwayve.app
端點
heatwayve.app
最近檢查

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Heatwayve,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/app.heatwayve%2Fmcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "heatwayve": {
      "type": "http",
      "url": "https://heatwayve.app/mcp"
    }
  }
}

README

Heatwayve

Unveil the best you. Evidence-based, autoregulated strength training — cast your frame, move with intent. Next.js PWA, live at heatwayve.app.

A 3-day-a-week strength programme (A/B/C — Squat & Push, Hinge & Pull, Power & Volume) with a progression engine that responds to how hard the work felt, per-muscle volume held against evidence-based landmarks (MEV/MAV/MRV), an accessory rotation engine that keeps the stimulus fresh without you thinking about it, and the Locker Room — where the work stops being numbers and starts being a body.

┌─────────────────────────────────────────────────────────────┐│  Mon   Tue   Wed   Thu   Fri   Sat   Sun                    ││  ───   ───   ───   ───   ───   ───   ───                    ││  A     Z2    B     Mod   C     HIIT  Rest                   ││  Sq    60m   Hinge 35m   Pwr   8-10  ─                      ││  +Push       +Pull       +Vol  ×20s                         │└─────────────────────────────────────────────────────────────┘

That's WEEK in lib/programme.js — the default shape, not a cage. The week is user-editable; the engine walks whatever week you build and hands the strength slots A → B → C in order.

Why this repo is public

So the science can be checked. The programming, the progression rules and the volume landmarks are inspectable — read them, question them, hold them against the literature (Israetel / Nuckols / Helms). That's the whole grant: the repo is the evidence, not a handbook. It is source-available, not open-source — see License.

The programme

SESSIONS (lib/programme.js) is the three-day template:

DayThemeMain liftsSupersetsFinisher
A MonSquat & PushBarbell Back Squat, Barbell Bench PressDB Reverse Lunge + Landmine Press · 45-Degree Hip Extension + Chest-Supported DB RowHanging Leg Raise + Standing Calf Raise
B WedHinge & PullHex Bar Deadlift, Barbell Overhead PressLeg Press + Pull-Up · Bulgarian Split Squat + Machine Hamstring CurlTricep Pushdown + Lateral Raise
C FriPower & VolumePower CleanDB Walking Lunge + Cable Lateral Raise · Incline DB Press + Seated Cable Row · DB Curl + SkullcrusherFace Pull + Low-to-High Cable Crossover

Each accessory slot has a pre-vetted pool of alternatives rotation can substitute in; pools declare a load profile so a heavy-low-rep movement can't sneak into a finisher slot. Main lifts don't auto-rotate — an enumerated set of approved functional equivalents is available through the swap overlay.

Progression

lib/progression.js reads the last session's effort signal and either advances load, holds, or backs off proportionally to the miss. A cooked readiness rating forces a hold outright — no session logged in a hole gets to set the next prescription. Step sizes and thresholds are per movement category; starting weights are bodyweight-derived and rounded to the loadable increment. The rules live in the code and are pinned by tests/progression.test.js — read those rather than a prose summary that can drift.

What you log is what you did; the prescription is separate. Logging fewer reps than prescribed never changes the prescription on its own, and every set is judged against the target it was attempted under. One short session is noise: repeat-testing studies put day-to-day variation at about a rep per set (1RM test-retest CV ≈ 4%, Grgic et al. 2020). A short set with no reps in reserve is a capacity miss and is answered with load (hold, or a 5–10% drop); a short last set at high effort is fatigue, held rather than punished. A repeated voluntary shortfall — first set short of target with reps still in reserve, on the prescribed load, three qualifying sessions running — is adopted as the lift's rep target, by the smallest change all three sessions support. Three is convention, not a measured threshold: the count Starting Strength and StrongLifts use before resetting, and the count this engine already uses for stalls and repeated light misses; no study has tested the number. It is safe because strength gains are relatively insensitive to how close sets end to failure (Robinson et al. 2024; Pareja-Blanco et al. 2017), so a slightly lower rep target at the same effort costs little. Cooked and travel sessions pause the count.

A stall is answered with reps, then weight. After three held sessions on a loaded lift, a target met close to the limit but short of failure raises the target by a rep, at most two over base; meeting the top of that at RPE 9.5 or easier adds weight and returns the reps to base, a miss or a set to failure never raises the target, and a drop in weight returns the reps to base. A session to failure holds, and finishing the next at RPE 9.5 or easier adds weight.

Volume vs landmarks (MEV/MAV/MRV)

Two surfaces hold actual volume against evidence-based landmarks. npm run audit:volume prints what the default programme delivers per muscle — the static audit. In the app, the Performance Lab audits the trailing four weeks of logged sessions and flags muscles below MEV (won't drive growth) or above MRV (junk volume, recovery cost) with the specific shortfall.

Both operate at the granular muscle level — 16 tracked muscles, each delt head and each arm muscle distinct — because "Rear Delts under MEV" is actionable and "Shoulders under MEV" is not. Traps, Erectors and Core carry mev: 0: fatigue ceilings that flag excess without ever nagging a shortfall nobody should chase.

Privacy posture

Passkeys are an optional lock on destructive operations and the photo layer — not an account system; a profile without one works locally, forever. Progress photos are re-encoded on capture, stripping all EXIF by construction, and no open-read path for a photo exists. Session records are immutable and append-only; the only delete that exists is a whole profile, passkey-gated and user-initiated.

Quickstart

bash
git clone https://github.com/abraraaa/project-forge.gitcd project-forgenpm installnpm run dev           # http://localhost:3000

npm test · npm run lint · npm run typecheck · npm run build · npm run audit:volume

The repo name and the forge:/forge/ storage prefixes keep their old spelling on purpose — deep plumbing, invisible to users, not worth a migration.

MCP

Heatwayve exposes a remote Model Context Protocol server for read-only training tools.

  • Endpoint: https://heatwayve.app/mcp (Streamable HTTP)
  • Connect: heatwayve.app/connect — OAuth with Face ID / passkey; scope training:read
  • Tools (read-only): training_snapshot, recent_sessions, programme, chart_style, current_loads, lift_history
  • Claude: Add Heatwayve connector

Unauthenticated calls receive 401 with WWW-Authenticate pointing at the OAuth protected-resource metadata.

License

Heatwayve is source-available, not open-source. The default terms are PolyForm Strict 1.0.0 (read, study, run privately; no redistribution, no derivatives, no reuse of code or content) — see LICENSE for the binding text and LICENSING.md for what it means in practice. Commercial licences (SaaS, white-label, integrations, any commercial use) are available — contact [email protected].

Conduct: CODE_OF_CONDUCT.md. What belongs in this repo and what doesn't: docs/internal-notes.md.

來源:README.md,提交 0bc3a44

工具

0
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版本歷史

1
  1. v1.0.0最新Nov 3, 2026

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