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35.2M results

Sub-issue of #115. Core fact-model change. Depends on sub-issue 1 (pipeline stages + layout). Goal Replace the flat message-centric facts with interaction-centric ones so Parse/Reconcile produce interactions ...
enhancement

Sub-issue of #115. Absorbs #98. Foundation — no schema change. Goal Reorganize the implicit indexing pipeline into five clearly-named seams — Discover → Parse → Reconcile → Interpret → Materialize — ...
enhancement

Problem: PayoutHistoryService.ts defines backfill(fromRound?: number): Promise void in its interface but the implementation body is a no-op stub (async backfill() {}). After a database wipe or migration, ...
backend
enhancement
Stellar Wave

Problem Statement The current Notice schema validates only a few fields and lacks proper sanitization and validation for several string fields. This may allow empty or improperly formatted data to be ...

This issue lists Renovate updates and detected dependencies. Read the Dependency Dashboard docs to learn more. br View this repository on the Mend.io Web Portal. Abandoned Dependencies The following ...

Bug type Behavior bug (incorrect output/state without crash) Beta release blocker No Summary Isolated cron session agent loop continues consuming API tokens for hours after the run is successfully ...
bug:behavior
bug

Documentation Feedback Path: /runtime/desktop/comparison/ Helpful: No ❌ Feedback: You say pick demo desktop “ Your codebase is JavaScript / TypeScript”. I use wasm from WebRacket. Will wasm work in general? ...
feedback
needs-improvement

Problem src/App.tsx has grown to roughly 1,000 lines and owns too many unrelated runtime concerns. Continuing to add Solitaire variation behavior there will make future feature work harder and riskier. ...

Description When running omp tiny-models download from a terminal, the command prints Downloading LFM2 700M (lfm2-700m)... and exits with code 0 within ~0.4 s. It does not create the runtime directory, ...
bug
cli
prio:p2
triaged

TUI 流式文本在 Kimi 模型下显示卡顿 / 一跳一跳的 问题描述 在 kimi-code 的 TUI 中使用 Kimi 模型 时,助手回复的流式显示不够平滑,文字会明显“一跳一跳”地更新。同样的代码在 DeepSeek 模型 下就流畅很多。 同一个 Kimi 模型,在 oh-my-pi 的 TUI 中流式输出是流畅的。这说明卡顿不是 Kimi API 本身的问题,而是 kimi-code ...
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ProTip! Restrict your search to the title by using the in:title qualifier.