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rikkahub-sillytavern-android

Android AI Chatbox: SillyTavern-compatible, import character cards & world books, prefix caching, memory RAG, Jev smart decisions, plugins. No Termux needed. / 安卓开源 AI 聊天客户端:兼容酒馆,一键导入角色卡与世界书,前缀缓存省 token,记忆 RAG,Jev 智能决策,插件系统,无需 Termux。

Details

External ID
1377857628
Source
GITHUB
Company
—
Product
rikkahub-sillytavern-android
Website domain
github.com
Launched
Sept. 20, 2026
Cohort
—
Upvotes
24
Upvotes percentile
0.6626313092492954
Tags
ai-chat, ai-client, android, character-card, claude, gemini, jetpack-compose, kotlin, llm, lorebook, memory, openai, plugin-system, prompt-cache, rag, roleplay, sillytavern, sillytavern-android, tavern, worldbook
Fetched at
Sept. 24, 2026, 5:02 p.m.
Updated at
Sept. 24, 2026, 5:02 p.m.

Enrichment

Theme
desktop and messaging chat assistants
Vertical
Media & entertainment
Function
Communication
Audience
B2C
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
native android client for sillytavern ai roleplay
Manually corrected
False

Could you build this?

Partial An Android LLM chat frontend is easy to create, but fully reimplementing the SillyTavern runtime specification natively on Android with an embedded QuickJS engine, semantic RAG, prompt prefix caching, and IM bot bridges is a massive undertaking.

What it would actually take: A real implementation requires a native Android architecture (Kotlin/Compose) embedding a JavaScript runtime like QuickJS or V8 to execute legacy SillyTavern extensions. It must implement on-device vector search (e.g., ObjectBox or embedded sqlite-vec) for 3-tier memory RAG, exact prompt template compilation to match upstream SillyTavern JSON/regex specifications, and background network services for WeChat/QQ bot listeners and streaming TTS. Achieving 100% specification compatibility without Node.js requires substantial systems architecture and deep knowledge of SillyTavern's complex internals.

Competitors

Other products that read as similar to this one — 36 launches clear the similarity bar, closest 8 shown.

Attention rank: #10 of 37 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

Other launches for this product