PlanToCode vs Agent Lab

PlanToCode for iOS connects to PlanToCode Desktop so you can work with the same local projects and coding-agent sessions from iPhone, Mac, or Windows. Open PlanToCode Desktop and enable Mobile access. Then add a project, create a session, send instructions, inspect files, and review diffs from iPhone. Continue the same work in either app. PlanToCode uses the OpenAI/Codex account and subscription you connect. Your existing OpenAI/Codex plan supplies coding-agent access; PlanToCode does not bundle or replace it. Use iPhone and desktop to work with the same projects and sessions: - Add a project from a folder on the connected desktop - Create a coding-agent session or open an existing one - Continue workspace chat with text, dictation, queued follow-ups, and completion alerts - Pick model and reasoning settings for supported sessions - Browse project files from the selected desktop - Preview Markdown, Mermaid diagrams, media, files, and git diff details - Review git changes and patch details - Open agent notifications directly into the matching desktop, project, session, and agent chat - See reconnect state when the desktop or network changes How it works: 1. Install and open PlanToCode Desktop from https://plantocode.com/downloads on your Mac or Windows computer. 2. Sign in on desktop and iOS with the same account and region. On desktop, enable Mobile access. 3. Pick the connected desktop in the iOS app. Add or select a project, then create or open a session. 4. Work in either app and continue the same project and session on the other. The desktop runs the agent and owns access to local repositories. The iOS app creates and controls projects and sessions through the authenticated PlanToCode relay. Requirements: - PlanToCode Desktop on your host computer - Internet connectivity for account and device relay Review generated changes and AI output before using them. Terms of Service: https://plantocode.com/terms Privacy Policy: https://plantocode.com/privacy

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.