Agent Lab vs Spunk Gauge

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.

Spunk Gauge is a live dashboard for the computers you run - render boxes, AI rigs, home servers, workstations. See GPU, CPU and memory load, temperatures and power for your Windows, Linux and Mac machines on one screen. FINDS YOUR COMPUTERS Spunk Gauge looks around your local network for machines that accept SSH logins and lists them. Tap one, enter its login (password or SSH key) and it is added. You can also add any computer by address. EVERYTHING AT A GLANCE - A card per computer with round gauges for every GPU, the CPU and memory - GPU temperature, power draw and memory use (NVIDIA GPUs via nvidia-smi) - Fleet summary: machines online, total GPU power, hottest machine, average load - A five-minute temperature chart for the whole fleet HEAT ALERTS Cards turn amber at the warning temperature and red at the kill level, with a banner you can dismiss, so a machine running too hot stands out straight away. NOTHING TO INSTALL The app reads standard system tools over SSH. No agent or server software is needed on the machines you watch. PRIVATE No account, no ads, no tracking. Your computer list stays on your device and logins are kept in the Keychain. Connections go straight from your device to your own computers. Try it first: tap "Try the demo" to see five sample computers with live-moving values.