Chapper: Native iOS Client for LM Studio, Ollama, and OpenAI-Compatible Local Models

✍️ OpenClawRadar📅 Published: April 20, 2026🔗 Source
Chapper: Native iOS Client for LM Studio, Ollama, and OpenAI-Compatible Local Models
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Chapper is a native SwiftUI iOS client for connecting to local AI models running on LM Studio, Ollama, and any OpenAI-compatible server. The app runs entirely on-device with no cloud requirements, web views, or mandatory accounts.

Core Features

  • Real-time token streaming with live inference speed display
  • Full sampling controls: temperature, top-p, top-k, min-p, TFS-Z, repeat/presence/frequency penalty
  • Structured output/JSON schema mode
  • Markdown rendering with syntax-highlighted code blocks

Reasoning Model Support

  • Collapsible thought process panel inline above each response
  • Works with Qwen3, DeepSeek-R1, and any model using <think> tags
  • Custom <think> tag parser for reasoning model output

Model Management

  • In-app model management: browse, load, configure context length
  • Flash attention support
  • GPU KV-cache offload

Conversation Features

  • Personas with persistent system prompts per chat
  • Full-text search across all conversations + pinned chats
  • Memory system that injects long-term context automatically
  • Scratchpad for working notes while chatting
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Output Options

  • Export in 7 formats: PDF, HTML, Markdown, JSON, CSV, XML, TXT
  • TTS in three modes: native iOS voices, local on-device Kokoro model (experimental), or custom TTS server
  • Background playback support

Technical Implementation

  • Native async streaming over SSE
  • MCP tool integration for web search, file access, URL fetching
  • iCloud sync (optional)
  • On-device analytics dashboard
  • 12 language support
  • Custom haptics with toggle option

Pricing & Availability

Free + Pro model with one-time purchase, no subscription. Core chat is free. Pro unlocks advanced sampling, unlimited history, all export formats, custom icons, and unlimited personas. Works on iPhone and iPad.

📖 Read the full source: r/LocalLLaMA

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👀 See Also