NomadFlowCode vs Agent Lab

NomadFlowCode lets you manage your development servers directly from your iPhone or iPad. Connect to your self-hosted NomadFlowCode server and get full control over your git repositories, feature branches, and terminal sessions — wherever you are. KEY FEATURES • Git Worktree Management — Each feature branch gets its own dedicated worktree. Switch between features instantly without stashing or losing context. • Full Terminal Access — Open a real terminal session on your server right from the app. Run commands, edit files, and debug code on the go via ttyd integration. • Tmux Session Management — Every feature branch automatically gets its own tmux window. Your running processes stay alive even when you disconnect. • Multi-Server Support — Connect to multiple development servers. Manage different projects across different machines from one app. • Repository Overview — Browse all your git repositories, see active feature branches, and quickly jump into any project. • Branch Creation — Create new feature branches from any base branch directly from your phone. The app sets up the worktree and tmux session automatically. HOW IT WORKS NomadFlowCode consists of two parts: 1. A lightweight Rust binary that runs on your development server. It provides an HTTP API, a WebSocket terminal proxy, and an optional TUI wizard for setup. 2. This mobile app, which connects to your server over your network. All communication stays between your device and your server — no cloud services, no third parties. REQUIREMENTS • A Linux or macOS machine running the NomadFlowCode server binary • Git and tmux installed on the server • ttyd for terminal access • Network connectivity between your phone and server NomadFlowCode is open-source software. Visit our documentation at nomadflowcode.dev for setup instructions and more.

Agent Lab is a learning and experimentation playground for AI agents, built for AI learners, agent developers, and product managers. It doesn't just run agents — it makes every step of an agent's execution visible, so you can finally understand how agents actually work. Unlike an ordinary AI chat app, Agent Lab is about learning, experimenting, debugging, and visualization. On every run you can see the prompts, tool calls, retrieval, tokens, and latency — nothing is hidden. Get started fast · On-device local models: download a small Qwen model on first use (Wi-Fi recommended), then run it fully offline — no API key and no second machine required. Cost is always 0, and tokens and latency are shown for real. · Download on demand: grab other open-source models your device can actually run, with capability gating based on your chip and memory. · Cloud models: works with Chat Completions-compatible APIs (DeepSeek, Moonshot, OpenRouter, and more) and Anthropic Claude — just enter your key, base URL, and model. Three built-in demos · Customer Support Agent — demonstrates tool calling and workflow with a built-in mock order system, no real backend needed. · RAG Knowledge Base — comes with curated reference docs (LangGraph, MCP, LLM APIs, Python) and lets you upload your own PDF / Markdown / TXT, then inspect the retrieved chunks, similarity scores, and final answer. · Research Agent — shows how an agent plans on its own: Planner → Search → Read → Summarize → Answer. Unified visual debugging Every demo offers three views: · Timeline — the full step-by-step sequence of LLM and tool calls · Graph — the workflow graph, highlighting the active node as it runs · Console — expand any step to see System / User / Assistant prompts, the complete LLM request and response JSON, tool requests and responses, tokens, estimated cost, latency, and errors Security and privacy · API keys are stored encrypted on-device via the system Keychain — local only, never uploaded to any server. · Uploaded knowledge-base files and the vector indexes built from them stay on your device and can be deleted anytime. · On-device inference runs fully offline; your data never leaves the device. No sign-up, no login — open it and go. Make every step an agent takes visible.