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* ci(play): add track/status inputs to publish workflow Lets the Play publish run target a public track (production/beta) and choose draft vs completed, instead of being hard-wired to internal. Defaults stay internal/completed so tag-push and release triggers are unchanged. Enables promoting the app to a publicly-downloadable track — the prerequisite for any real download growth. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(play): record user authorization for production go-live * docs(fdroid): correct metadata to cc.agentlabs.opencode + agentlabs.cc, flag post-rename tag gate The fdroiddata submission still referenced the old package ai.opencode.mobile and v0.3.1. Update package id, website, and document the real blocker: F-Droid mainline needs a release tag built AFTER the package rename (v0.4.1 APK is the old id) plus Play production live and a reproducible build. Signing fingerprint is unchanged across the rename. * docs(launch): ready-to-fire distribution kit (Show HN, Reddit, PH, X, dev.to) Copy-paste launch posts + ordered fire checklist so distribution starts the moment the public listing is live. Store URLs left as {{PLAY_URL}}/{{FDROID_URL}} placeholders; web hub agentlabs.cc/opencode is live now. --------- Co-authored-by: engineer <engineer@opencode.ai> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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title, published, tags, cover_image, canonical_url
| title | published | tags | cover_image | canonical_url | ||||
|---|---|---|---|---|---|---|---|---|
| Drive your self-hosted AI coding agent from your phone | true |
|
https://agentlabs.cc/opencode |
I run opencode — an open-source AI coding agent — on my home server. It connects to Claude or GPT-4 via my own API keys and edits code through tool calls: reading files, writing diffs, running shell commands.
The workflow works well at my desk. Away from my desk, I had nothing useful. SSH into a terminal app loses the structured session UI. Generic AI chat apps know nothing about file diffs or tool call approval. I wanted to actually steer a running session from my phone, not just read raw text output.
So I built OpenCode Mobile.
What it is
OpenCode Mobile is a React Native / Expo Android app. It's a thin client for the opencode HTTP + SSE API — no backend of mine between your phone and your server.
You run opencode in server mode:
npm install -g opencode-ai
OPENCODE_SERVER_PASSWORD=yourpassword opencode serve --hostname 0.0.0.0 --port 4096
Then in the app you paste the server URL — a local network IP, a Tailscale address, a Cloudflare Tunnel URL, whatever you already use to reach that machine. The app connects, lists your sessions, and streams output in real time.
What the UI gives you
Streaming chat. Responses come in token by token via SSE. The same stream you'd see in the terminal, rendered in a mobile chat UI.
Diff viewer. When the AI coding agent proposes a file change, you see an inline line-level diff — green additions, red removals — before the write happens. No more wondering what changed.
Tool call approval. opencode pauses before executing file writes, shell commands, or other destructive actions and waits for explicit approval. The mobile app surfaces this as a bottom sheet: you approve or reject, and the agent proceeds or stops. This is the feature I personally find most useful — you can start a session, walk away, and only get pulled back when the agent needs a decision.
Session management. Create new sessions, resume old ones, switch between them.
Biometric unlock. Face/fingerprint gates both app open and individual message sends.
How it connects
The app supports any method you use to expose a local server:
- Local network — works when phone and server are on the same Wi-Fi
- Tailscale — Tailscale IP works out of the box, no port forwarding
- Cloudflare Tunnel —
cloudflared tunnelgives you a public HTTPS URL - ngrok — same idea
Each saved connection is stored in Android Keystore via expo-secure-store. The URL and password never leave the device except to reach your server directly.
Model support
opencode connects to whatever AI provider you configure: Anthropic Claude, OpenAI GPT-4, Google Gemini, or any local model behind an OpenAI-compatible API (ollama, LM Studio, etc.). The mobile app doesn't care — it talks to opencode, and opencode talks to your model. Your API keys stay on your server.
Technical notes for the curious
The trickiest part was SSE streaming. React Native lacks a native EventSource. The standard web polyfill mostly works, but Android's OkHttp follows redirects and drops the Accept: text/event-stream header, which breaks reconnects. The fix is a custom fetch wrapper that sets the header on every hop.
The diff viewer is a custom line-level parser feeding a FlatList, not a WebView. This keeps dark-mode theming consistent and avoids the overhead of a full browser engine for rendering +/- lines.
Tool call approval required coordinating two async streams: the SSE stream coming in and the user response going out. The solution is a React Query mutation that fires on approval and an optimistic UI update that unblocks the stream client-side while the server confirms.
Open source
MIT licensed. Source at github.com/dzianisv/opencode-mobile. Issues and PRs welcome. F-Droid submission is in progress.
Play Store: {{PLAY_URL}} Landing page and docs: https://agentlabs.cc/opencode
If you run opencode and try it, I'm especially interested in feedback on latency when using local models — the streaming UI has a minimum render interval to avoid thrashing, but I don't know where that threshold feels wrong on slow hardware.