prosolis 183219b5de Companion: selectable companions with a picker
Click the mascot to open a bilingual picker and switch between the Sleepy Cat
(always asleep, still talks in her sleep) and the Happy Dog (awake/bouncy).
Choice persists in localStorage.

- companions.ts is the roster; add one by dropping a pure-vector Lottie JSON
  in animations/ and appending a COMPANIONS entry.
- napping = companion.alwaysAsleep || mood === 'sleeping' drives the sway/zzz.
- Removed the old single MOOD_ANIMATIONS map (animations/index.ts).

Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
2026-06-25 22:07:48 -07:00
2026-06-25 21:16:53 -07:00
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2026-06-25 20:20:04 -07:00
2026-06-25 20:20:04 -07:00
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🌸 Petal

A self-hosted, privacy-first writing editor with warm bubbly design, auto-save, and local-LLM grammar/ESL suggestions. See petal-spec.md for the full design spec and BUILD_PLAN.md for build progress.

Stack

Go + chi backend · SQLite (modernc, pure Go) · React + Vite + Tiptap + Tailwind v4 frontend · local vLLM/Ollama for AI suggestions. Single-binary deployment (frontend embedded via go:embed).

Local development

Two processes during development:

# 1. Backend (serves /api on :8080)
go run ./cmd/server

# 2. Frontend dev server (HMR on :5173, proxies /api → :8080)
cd web && npm install && npm run dev

Open http://localhost:5173 while developing.

Production build (single binary)

cd web && npm run build      # emits web/dist (embedded by the Go binary)
cd .. && go build -o petal ./cmd/server
./petal                      # serves UI + API on :8080

Configuration is via environment variables — copy .env.example to .env.

Status

Early build, multi-session. Auth (Authentik), Copyleaks plagiarism, and Docker/Traefik deployment are deferred — see BUILD_PLAN.md.

Description
Petal is a self-hosted, privacy-first writing editor for an ESL user. It replaces Grammarly with a warm, bubbly web app that combines Tiptap rich text editing, auto-save cloud storage, and periodic AI-powered grammar/ESL suggestions backed by a local vLLM inference endpoint.
Readme 14 MiB
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Go 39.8%
CSS 3.1%
Python 2%
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