Clippo is a visual orchestration canvas for Windows that turns software development into a command room where you act as the tech lead and your AI coding agents work together in parallel. Instead of wrestling with dozens of lost terminal tabs or repeatedly copy-pasting the same briefings, Clippo gives you an infinite canvas where you assemble your AI dev team, delegate tasks, and monitor code progress in real time, arranging your workspace however you like. It is built for developers who already use AI coding agents day to day and want a single screen to coordinate them, watch what they are doing, and keep every piece of project context in one place.
The problem Clippo addresses is fragmentation. When you run several AI coding agents at once, each one typically lives in its own terminal tab, and the moment you switch between them you lose sight of which agent is still coding and which one has finished. Briefings get copied and pasted again and again, and context that was explained to one agent is not available to the next. Clippo replaces that scattered, tab-driven workflow with a spatial one: agents, notes, browsers, and editors are all placed on one canvas and connected to each other, so the state of your project is visible at a glance rather than buried in a list of windows.
Clippo's core capability is running your AI dev team in parallel. You can assign agents to different fronts at the same time — one building the backend API, another writing test suites, and another refactoring the frontend — and see everyone working side by side on a single screen. Because the agents are laid out visually, you know instantly who is coding and who is done without switching windows. This parallel approach matters because development work naturally splits into independent tracks, and keeping those tracks visible next to each other makes it far easier to spot a stalled agent or an overlapping change before it becomes a problem.
The Project binder keeps your agents aligned through a structured set of notes placed directly on the canvas. It has three parts. Project captures the overall architecture, stack guidelines, and team conventions. Plan holds a step-by-step implementation roadmap for you to review before execution begins. Walkthrough produces an executive delivery report with diff summaries and verification checklists. The binder is not just documentation — you connect a cable from any note to a terminal, and the agent absorbs that context immediately, with no re-prompting needed. That single mechanism means architecture decisions, conventions, and roadmaps are shared with every agent you link, keeping a multi-agent effort pointed in the same direction.
ClipSurf is an embedded browser that lives on the canvas and serves as web browsing and eyes for any agent. It is available to both you and your agents, and it is particularly valuable for terminal agents and CLI models that do not have built-in web access. With ClipSurf those agents can browse documentation, research solutions online, and test the local web app they just built, live in front of you. Getting external information into an agent normally means copying links and pasted text; ClipSurf removes that step and lets the agent look things up directly, while you watch the same view it is working from.
Persistent memory with local AI addresses one of the most costly parts of working with coding agents: losing context between sessions. Clippo keeps a local memory that learns your project over time, storing architectural decisions, solved pitfalls, and coding standards. A lightweight local model retrieves relevant memories on demand, which cuts token usage and keeps context across sessions. The practical effect is that an agent starting a new session does not begin from zero — the decisions you already made and the problems you already solved are available to it, and because retrieval is local, that recall does not come with a token cost for re-explaining the project each time.
Clippo IDE is a visual code editor built into the canvas, designed for inspecting and polishing code before Git. You can browse project files, review agent-generated code with syntax highlighting, inspect Git diffs, and make quick edits before committing with a single keystroke. Because the IDE sits on the same canvas as the agents, reviewing their output does not mean leaving the orchestration view. The point is control: agent-generated code is checked, adjusted, and only then committed, so you stay in full control of your repository rather than trusting output blindly.
Clippo is built to be lightweight, fast, and 100% private. There are no bloated web wrappers that eat up your RAM; Clippo opens fast, stays light, and leaves your CPU and memory free for compiling and development. Your files, notes, and prompts never leave your PC, with zero account creation, zero login, and zero tracking. For developers working on proprietary code, that on-device design removes the friction and risk of sending project material to a third-party service just to coordinate the tools building it.
Overall, Clippo works as a visual orchestration layer that sits alongside the AI tools you already use rather than replacing them. It is compatible with Claude Code, OpenAI Codex, Gemini CLI, OpenCode, Aider, Copilot CLI, and local engines like Ollama and LM Studio, and WSL and Docker are supported out of the box. The methodology is node-based: you place terminals, notes, browsers, and editors on an infinite canvas and link them with cables, so context flows from a note into an agent, and agents run in parallel on separate fronts of the same project. Everything — unlimited terminals, notes, Clippo IDEs, ClipSurfs, and Spaces — lives inside the workspace you arrange yourself.
The benefits Clippo claims follow from that structure. You stop drowning in terminal tabs and stop copy-pasting briefings, because one canvas shows every agent's progress at once. You save tokens, because on-device memory recalls project context instead of forcing you to restate it. You keep your CPU and memory for compiling and development, because the app stays light. And you retain full control of your repository, because nothing is committed before you review it in the built-in IDE. The outcome is a workflow where you step up as tech lead of your own AI engineering team rather than acting as a dispatcher between disconnected windows.
Concrete scenarios include splitting a feature across agents — one on the backend API, one writing test suites, one refactoring the frontend — while you watch all three on one screen. Another is giving a CLI model without web access the ability to browse docs and research a solution through ClipSurf, then test the local web app it just built in the same embedded browser. A third is reviewing agent-generated code, inspecting Git diffs, and making a quick edit before committing. Persistent memory supports ongoing projects where sessions restart regularly, and the Clippo Pro add-on covers developers working across multiple projects at once using unlimited workspaces.
Clippo is aimed at developers who use AI coding agents such as Claude Code, OpenAI Codex, Gemini CLI, OpenCode, Aider, or Copilot CLI, and at anyone running local engines like Ollama or LM Studio. It runs on Windows 11, version 22H2 or higher, on x64. The free plan includes a complete workspace with unlimited terminals, notes, Clippo IDEs, ClipSurfs, and Spaces inside it. To work across multiple projects at once, the Clippo Pro add-on unlocks unlimited workspaces through a one-time purchase from the Microsoft Store. The app offers in-app purchases and is developed by Thiago Grião.
Clippo's primary value proposition is simple: it gives Windows developers a visual command room for AI agents, turning a scattered collection of terminal tabs into one infinite canvas where agents run in parallel, project context is shared through linked notes, memory persists locally to cut token usage, and code is inspected before it ever reaches Git.