TARS for OpenClaw vs Agent Lab

TARS puts your OpenClaw AI agents in your pocket. Pair over Tailscale in under a minute and take full control from anywhere in the world. — WHAT YOU CAN DO — • Chat with your AI agents in real time • Send prompts with image attachments • Switch between sessions or start new ones • Monitor agent activity from a live dashboard • Track API usage and costs at a glance • Manage scheduled tasks and cron jobs • Review and trigger agent skills • Setup Quick Prompts for one-tap issue of commands • Customize your dashboard layout • Get push notifications when agents need you • Challenge your agents to a game of chess — PRIVATE BY DESIGN — • All traffic stays on your Tailscale network / LAN • No cloud servers, no relay, no tracking • No accounts or sign-ups required • Your data never leaves your network Subscription Information: TARS Monthly is an auto-renewable monthly subscription at $1.69/month. Payment is charged to your Apple ID at confirmation of purchase. The subscription automatically renews unless auto-renew is turned off at least 24 hours before the end of the current period. You can manage and cancel your subscription in the TARS app or your App Store account settings at any time. End User License Agreement: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

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.