PandaNpc
Happy Coder
Omnara
Vicoa
Claude Code Remote Control
Claude Code UI
Omnara
Happy Coder
Claudx
The-Box.dev
Claude AI
aider
Sculptor
PandaNpc is a cross-platform control plane for coding agents running on your own hardware. Run Claude Code, Codex CLI, PandaCode, DeepSeek Harness, or Pi on Windows, macOS, or Linux, then supervise the same live session from desktop, Web, iPhone, or a Chrome side panel.
Unlike cloud sandboxes, agents keep using the repositories, credentials, and toolchains already on your machines. The bridge talks to the local CLI rather than a model vendor, so remote control also works with API-key authentication, Amazon Bedrock, Vertex AI, Microsoft Foundry, OpenAI-compatible providers, Ollama, LM Studio, and custom gateways.
Features: - Live streaming, questions, tool approvals, subagent activity, diffs, reconnectable history, usage, context, and cost HUD - Encrypted private device mesh with stable private IPs and no port forwarding - Agent Center sync for rules, skills, memories, and agent profiles across machines and engines - PandaNote knowledge base and 38 MCP tools for notes, models, scheduled tasks, and connections - Scheduled agents for recurring and one-time jobs on a chosen machine - Real browser and remote-computer control with approval boundaries - Revocable, time-limited live session sharing and read-only transcripts - Windows, macOS, Linux, Web, iOS, and Chrome extension clients - Product interface available in 29 languages
iOS App: https://apps.apple.com/app/id6775002822 Chrome Extension: https://chromewebstore.google.com/detail/hpoodkaedopkblneapicfmhfpfcdongh
PandaNpc Claude Code UINo features have been listed yet.
PandaNpc's answer
PandaNpc is a strong fit if you want remote control without giving up local execution. Your existing CLI agent keeps running with its repository, credentials, and toolchain on your machine while you supervise it from Web, iPhone, Windows, macOS, Linux, or the Chrome extension.
Compared with single-agent mobile companions, PandaNpc supports several coding engines and many machines in one workspace. It adds a private mesh, live approvals, Agent Center memory, notes and MCP, scheduled jobs, browser and computer control, session sharing, custom providers, and a free plan. It is especially useful when official Claude Remote Control is unavailable because you use API-key authentication, Bedrock, Vertex AI, Microsoft Foundry, or a custom base URL.
PandaNpc's answer
PandaNpc uses Rust for PandaPaw agent bridges and the Tauri 2 desktop core; Vue, Nuxt, and TypeScript for the Web and desktop interface; Swift and SwiftUI for iOS; and Node.js services with MySQL and Redis on the backend. Live sessions use WebSockets. The private device mesh is built on WireGuard networking, and agent integrations use the Model Context Protocol (MCP) where appropriate.
PandaNpc's answer
PandaNpc controls coding agents where they actually run: on your own Windows, macOS, or Linux machines. It does not move your repository into a cloud sandbox or depend on one model vendor. A single interface remotely supervises Claude Code, Codex CLI, PandaCode, DeepSeek Harness, and Pi from Web, iOS, or desktop, including live output, tool approvals, subagents, diffs, and reconnectable history.
It also combines an encrypted private device mesh, cross-engine Agent Center memory, PandaNote, scheduled tasks, browser and computer control, and 38 MCP tools. Because the bridge talks to the local CLI rather than the model provider, it also works with API keys, Bedrock, Vertex AI, Microsoft Foundry, and custom gateways.
PandaNpc's answer
PandaNpc's answer
PandaNpc started from a simple observation: scaling from one coding agent to many is primarily a supervision and coordination problem. Each new agent needs somewhere to run, shared conventions and memory, a way to ask for human decisions, and tools beyond the terminal.
The product is being built around the idea that everyone should be able to have a fleet of agents working on machines they already own. PandaPaw provides local execution, Agent Center shares rules and memory, the encrypted mesh connects machines, and the Web, desktop, and iOS clients let people supervise work from anywhere. Browser and computer control, scheduled tasks, PandaNote, and MCP remove more of the per-agent overhead.
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