mobilegym
CopilotKit
| mobilegym | CopilotKit | |
|---|---|---|
| 9 | 32 | |
| 71 | 32,542 | |
| - | 6.5% | |
| - | 10.0 | |
| 12 days ago | 4 days ago | |
| TypeScript | TypeScript | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mobilegym
- Show HN: I built an Android OS in the browser
- Show HN: I built an Android-like OS that runs in the browser
-
I built an Android-like OS that runs in the browser
GitHub: https://github.com/Purewhiter/mobilegym
Features
Lightweight and highly concurrent
- After burning through tens of billions of tokens, I built an Android-like OS that runs entirely in the browser
CopilotKit
-
Generative UI - The Future of Human-AI Interaction
The instructions prop is ignored with custom agents. We set system instructions via CopilotSidebar's instructions field and they were silently dropped. This is a known open CopilotKit issue. The workaround: define instructions in the agent's system message directly.
-
Google Maps for Codebases: Paste a GitHub URL, Ask Anything
It is built using CopilotKit, Zenflow, GitHub API and React Flow. You can run it completely free using Ollama locally.
-
Building a Production-Ready Composable AI Agent System with CopilotKit and LangGraph
Developer-first APIs for easy, customizable integration with React and Next.js. In short, CopilotKit bridges your frontend UI and the backend AI - creating an intelligent layer for modern web applications. Visit the official documentation
-
The Landscape of Generative UI in 2026
CopilotKit v2 API reference
-
I Evaluated Every AI Chat UI Library in 2026. Here's What I Found (and What I Built)
Full agent framework → CopilotKit
-
How to Build a LangGraph Research Agent that Embeds Dynamic Charts via MCP Apps (CopilotKit & Tako)
We will use CopilotKit (Next.js) for the frontend, LangGraph to orchestrate the agent workflow, and MCP (Model Context Protocol) to connect external tools like Tako, which returns embeddable chart UI.
-
A2UI in Practice: Build Agent-to-User Interfaces Using A2A + AG-UI
In this guide, you will learn how to build full-stack agent-to-user interface (A2UI) agents using the agent-to-agent (A2A) protocol, the AG-UI protocol, and CopilotKit.
-
Vibe Code an Agentic App in Under 7 Minutes
The Vibe-Coding Server, built on MCP (Model Context Protocol), gives coding agents structured access to both CopilotKit documentation and actual code examples from the repos.
-
Show HN: Ikuyo a Travel Planning Web Application
Friend (co-worker) had a similar ideas around travel management and he built this.
Fully open sourced https://github.com/CopilotKit/CopilotKit/tree/main/examples/...
In case you find it useful.
https://examples-coagents-ai-travel-app-git-main-copilot-kit...
-
Connecting AI Agent with UI - State Management🧩
In my view CopilotKit works more efficient and smooth than tools like assistant-ui and open-canvas.
What are some alternatives?
skelm - skelm — open-source framework for secure, agentic, long-running workflows. Authoring, scheduling, and operating typed pipelines that mix deterministic code, LLM inference, and agent loops under default-deny permissions.
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!
genaiscript - Automatable GenAI Scripting
assistant-ui - Typescript/React Library for AI Chat💬🚀
Cogitator-AI - 🤖 Kubernetes for AI Agents. Self-hosted, production-grade runtime for orchestrating LLM swarms and autonomous agents. TypeScript-native.
beakjs - 🐦 Custom conversational assistants for your React app.