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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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