iOfficeAI/AionUi
AionUi
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI and 20+ more CLI | Customize your assistants | Star if you like it!
Usage guide
AionUi is an open-source project around acp, agent-team, ai-agent with 29,012 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI and 20+ more CLI Customize your assistants Star if you like it!
- Implemented mainly in TypeScript, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating AionUi for TypeScript AI workflows.
- Comparing a GitHub project with 29,012 stars and current repository activity.
Pros
- AionUi has visible GitHub traction with 29,012 stars. Topics: acp, agent-team, ai.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
AionUi should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
AionUi architecture preview
AionUi's main path starts at the entry surface, runs through Coding agent runtime, combines OpenAI / Claude / Gemini, Repository context, Discord / APIs / webhooks, and returns Code changes / developer feedback.
Entry
CLI / terminal entry
AionUi is primarily entered through a developer command or terminal workflow.
brew install aionui
Runtime
Coding agent runtime
The runtime reads developer intent, inspects repository context, plans edits, and returns code-oriented actions.
coding workflow
Model
OpenAI / Claude / Gemini
Model calls are likely routed through OpenAI, Claude, Gemini based on README and topic signals.
OpenAI, Claude, Gemini
Context
Repository context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
Discord / APIs / webhooks
Tool adapters let the runtime act outside the model through Discord / APIs / webhooks.
Discord, APIs / webhooks
Output
Code changes / developer feedback
The final result is code edits, explanations, repository actions, or developer-facing feedback.
coding output
Featured video
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AionUi: One Free Desktop for Claude Code, OpenClaw & Hermes Agent
14,314 views · 2026-04-30
Install tutorial
Before you install
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
AionUi uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/iOfficeAI/AionUi.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ brew install aionuiAdoption guidance and sources
Practical use cases
Agent workflow prototype
Use it to validate task decomposition, tool calling, memory, tool permissions, and result review loops.
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, C
This is one of the documented reasons to evaluate AionUi before choosing a stack.
Focus area: acp
This is one of the documented reasons to evaluate AionUi before choosing a stack.
AI Agents project comparison
Compare AionUi with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official AionUi setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented AionUi example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is AionUi?
AionUi is an open-source ai agents project. Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI and 20+ more CLI | Customize your assistants | Star if you like it!
How do I install AionUi?
Start with the official README. The first detected setup step is: git clone https://github.com/iOfficeAI/AionUi.git.
Is AionUi beginner-friendly?
If you already know the TypeScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can AionUi be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does AionUi need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt AionUi?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.