SnapTate AI vs Agent Lab

SnapTate AI: Advanced Image Annotation Tool Labeling images to train your AI and machine learning models has never been easier! SnapTate AI allows you to create datasets quickly, securely, and completely offline right from your mobile device. Key Features: Camera & Gallery Support: Snap a photo instantly or choose an existing image from your gallery to start working. Advanced Drawing Tools: Accurately label objects using Bounding Box, Circle, or Freehand tools based on your needs. Easy Export: Save your annotations and X:Y coordinates to your device as a standard CSV file and image in seconds. 100% Secure & Offline: Requires no internet connection. The app never sends your data to the cloud or external servers; all your files remain safe in your device's local storage. Multi-Language Support: Enjoy a flexible experience with English, Turkish, and Arabic language options. Speed up your data labeling process with SnapTate AI—a time-saving tool for researchers, AI developers, students, and data scientists!

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.