OlliteRT
Enrichment pendingTurn your Android phone into an OpenAI-compatible LLM inference server, Fully local, private and Open Source
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of today
- Provenance
- Not a fork · Personal account
- As of today
- Security (OSV)
- No lockfile
- As of today
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/NightMean/OlliteRTSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Turn your Android phone into an OpenAI-compatible LLM inference server — Fully local, private and Open Source
Capability facts
- Languages
- kotlin
Source: github.language · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
/v1`) with any OpenAI-compatible client — Open WebUI, OpenClaw, Home Assistant, Python, etc. See **[Client Setup](docs/CLIENT_SETUP.md)** for detailed guides.Source link
Tags
README
Quick Start
- Download & install the APK
- Download a model — Gemma 4 E2B is recommended for most devices (2.4 GB, runs on 8 GB RAM)
- Start the server — Tap the Start Server button on the downloaded model card
- Configure your client — Use the endpoint shown on the Status screen (e.g.
http://PHONE_IP:8000/v1) with any OpenAI-compatible client — Open WebUI, OpenClaw, Home Assistant, Python, etc. See Client Setup for detailed guides.
[!IMPORTANT] Requires: Android 12+ · arm64-v8a device · 6 GB RAM minimum · 8 GB+ recommended for multimodal models (see model table)
License
Licensed under the Apache License 2.0.
For agents
This page has a .md twin and JSON over the API.