# 0xSero/litter

Repository: https://github.com/0xSero/litter
Canonical: https://ross.abutalabs.com/products/litter
Language: Swift
License: NOASSERTION
License Family: other
Last push: 2026-08-25T20:38:00+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 97, longevity 13
- inputs: {"age_days": 193, "days_push": 8, "days_rel": 22, "gap_med": 0.0, "n_releases_24m": 21}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2485, forks 198 (observed 2026-08-28T04:06:55.513850+00:00)

## What it is
Litter is a native iOS and Android client for OpenAI's Codex and Local Studio, letting users manage sessions and run agentic coding workflows from their phone. It shares a single Rust core via UniFFI bindings, with thin Swift/Kotlin UI layers and a watchOS companion app.

## Use cases
- run codex coding agent from my phone
- manage ai coding sessions on ios
- connect to remote dev servers from mobile
- monitor agentic coding tasks on android
- use voice to control coding agent
- mobile terminal for remote development

## When to choose
- you use Codex or Local Studio and want mobile access to agentic coding sessions
- you need a native iOS/Android app with a shared Rust core for agent workflows
- you want to manage remote dev servers and sessions from your phone or watch

## When to avoid
- you need a desktop or web coding agent client
- you don't use Codex or Local Studio
- you want a fully open-source app - the license is non-standard

## Facets
- artifact type: application
- maturity: active
- function: mobile-framework, agent-framework, chat-interface, developer-tools, ssh
- domain: large-language-models, developer-tools, mobile-development, cross-platform
- platform: rust
- tags: codex-client, agentic-coding, uniffi, rust-core, watchos, terminal-renderer, remote-servers, ai-agents, ios, android, swift, mobile

## Member repositories
- 0xSero/litter (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:55.513850+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:28:03.179981+00:00, confidence not recorded.
  - readme: https://github.com/0xSero/litter (fetched 2026-08-28T04:06:55.513850+00:00, sha 50a736a87a75)
- Data as of 2026-08-30T08:39:29.467469+00:00.