by ZSeven-W
Your pocket agent. Local-first AI agents on iOS and Android — real workspaces, tool execution with approvals, and your choice of model (DSH · Claude Code · Codex · GLM).
# Add to your Claude Code skills
git clone https://github.com/ZSeven-W/rish-appSee how rish-app compares with popular alternatives.
rish-app is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ZSeven-W. Your pocket agent. Local-first AI agents on iOS and Android — real workspaces, tool execution with approvals, and your choice of model (DSH · Claude Code · Codex · GLM). It has 63 GitHub stars.
rish-app's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/ZSeven-W/rish-app" and add it to your Claude Code skills directory (see the Installation section above).
rish-app is primarily written in Objective-C++. It is open-source under ZSeven-W on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh rish-app against similar tools.
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Rish brings Agent conversations, workspaces, and tool execution to your phone. Choose a model, describe a task, inspect the work, and approve changes without keeping a computer running. Coding is one of its uses, not its only purpose.
Preparing an experimental source preview; no stable installable release yet. Platform scope and account/subscription verification status are summarized in Platforms and models.
Four built-in connections. One pocket workspace.
¹ Subscription sign-in is currently iOS-only. BigModel Coding Lite is verified; Codex and Claude Code require the optional experimental build. See the verification details below.
Choose a harness and connect with an API key or an account supported by your build. Then start working with files and projects on your phone. Rish manages the agent loop, workspace, tool approvals, and execution records; the built-in adapters connect to model services.
Account and subscription verification (iOS)
gpt-5.6-luna text chat, a local list_dir tool call,
and persistence across restart. The official CLI is used only for login; not
all tools and models are verified.Follow Agent execution, review project changes, and choose a model connection. Click a screenshot to open the original.
All captures are from actual Simulators, showing the current UI and workflow.
Keep files and projects in the phone's app-owned workspace. Import material, read files, review project changes, and continue working in one app.
Start with the built-in DSH, Claude Code, Codex, and GLM entries, or configure a compatible API service and model mappings. The model proposes the next step; local tools perform the operation.
Follow each round's text, optional provider-returned reasoning, tool calls, and final result. Open links directly and return to saved conversations.
Tools operate inside a bounded workspace. Operations that need authorization ask first; file changes and Git diffs are available for review.
| Task | A starting point |
|---|---|
| Work with information | Import text or a PDF, ask for key points, then review the notes the Agent saves. |
| Organize files | Inspect a project directory, read selected files, and approve new or updated content. |
| Maintain a project | Review Git status and diffs, edit files, and approve a commit. |
These examples use the currently available iOS capabilities. Supported tools and file formats vary by platform. For the Linux Guest experiments, see the runtime reference.
Your task → Rish assembles context → Your chosen model service
↓ Text / tool requests
Phone workspace ← Local tools ← Rish validation and approval
Supported tools execute in the phone's app-owned environment. Model requests send selected conversation and task context to your configured service: local execution does not mean offline model inference.
Rish combines native file/Git operations, the Rish runtime, and an experimental Linux Guest. Full desktop-program compatibility and indefinite background execution are not promised. The developer guide separates verified capabilities from experimental paths.
| Platform | Current scope |
|---|---|
| iOS / iPadOS | Native conversations, attachments, Files, Git, and controlled Agent tools; includes adaptive iPad layouts. |
| Android | Native API chat, credential storage, session recovery, and scoped task notifications. Local Agent, Files, and Git execution are not yet available. |
| HarmonyOS | Temporary Android compatibility-container checks do not establish native HarmonyOS support. |
| Connection | Current method |
|---|---|
| DeepSeek / DSH | API key and editable model catalog; capabilities depend on the model and platform. |
| GLM | API key, plus an optional BigModel/Z.ai account connection; see the status above. |
| Codex | API adapter; the optional iOS experimental build adds subscription sign-in — see the status above. |
| Claude Code | API adapter with compatible-service configuration; subscribed text calls are verified in the optional iOS build, with the scope and latency noted above. |
| Custom services | On iOS, select Messages, Responses, or Chat Completions and configure model mappings. |
Rish is part of a family of local-first, AI-native tools from ZSeven-W. rish boots the Linux guest inside this app; the others carry the same idea onto other surfaces — the terminal, the design canvas, and an agent's memory.
| Project | What it is |
|---|---|
| rish | Real Docker on a phone: a no-JIT x86-64 full-system interpreter in pure Rust that boots Linux and runs containers on iOS and Android. This app's Linux Guest comes from here. |
| OpenPencil | The first open-source AI-native vector design tool, and the first with concurrent Agent Teams. Design-as-Code — turn prompts into U |