Clippo is a developer tool for Windows that turns software development into a visual command room. Instead of juggling separate terminal windows, you work on an infinite visual canvas where you assemble a team of AI agents, delegate tasks to them, and watch code progress in real time. The product describes itself as a visual orchestration canvas in which you are positioned as the tech lead and your AI agents work together in parallel. Clippo is built for developers who already use AI coding agents and command-line AI tools and who want a single place to organise, monitor, and review their work. Everything is arranged on the canvas with full freedom to lay out your workspace however you like, so the structure of the screen can reflect the structure of your project.
Software development with AI agents often turns into a struggle with dozens of lost terminal tabs. Developers move between windows, copy and paste the same briefings over and over, and lose track of which agent is working on what. Context disappears between sessions, which means re-prompting and burning tokens. Clippo exists to address that specific problem: it brings visibility and organisation to an increasingly parallel, agent-driven workflow. Rather than forcing you to remember what each terminal was doing, the canvas shows everyone working side by side on a single screen, so you know instantly who is coding and who is done without window switching. The product frames itself as replacing the wrestling with terminals with a visual command room that you arrange and control.
The core capability of Clippo is running your AI dev team in parallel. You can assign agents to different fronts of a project: one building the backend API, another writing test suites, and another refactoring the frontend. Because the agents are placed on a single canvas, you can see them all working side by side and immediately tell who is coding and who has finished. Clippo works alongside the AI tools you already use every day. The listed compatible tools include Claude Code, OpenAI Codex, Gemini CLI, OpenCode, Aider, and Copilot CLI, as well as local engines such as Ollama and LM Studio. WSL and Docker are supported out of the box. That means Clippo is not a replacement for your chosen agent or model; it is an orchestration layer that organises the tools you already trust while keeping them under one visual roof.
Clippo keeps agents aligned with a structured project binder that lives right on the canvas. The binder has three parts. Project holds the overall architecture, stack guidelines, and team conventions. Plan provides a step-by-step implementation roadmap that you can review before execution begins. Walkthrough is an executive delivery report containing diff summaries and verification checklists. The binder is not merely documentation sitting off to the side: you connect a cable from any note to a terminal, and the agent absorbs that context immediately, with no re-prompting needed. This turns your project conventions and plans into live context that every connected agent can read, reducing the risk of agents drifting away from the agreed approach and removing the repetitive briefing loop that usually accompanies multi-agent work.
Clippo includes two tools that sit directly on the canvas. ClipSurf is an embedded browser that provides web browsing and eyes for any agent. It is available to both you and your agents, and it lets terminal agents and CLI models that have no built-in web access browse documentation, research solutions online, and test the local web app they just built, live in front of you. Clippo IDE is a visual code editor built into the canvas. With it 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. Together these tools keep browsing, inspection, and review inside the same visual workspace instead of scattering them across separate applications, and they let you stay in full control of your repository.
Persistent memory with local AI is one of Clippo's most distinctive capabilities. Agents no longer lose context between sessions, because Clippo keeps a local memory that learns your project over time. It stores architectural decisions, solved pitfalls, and coding standards. A lightweight local model retrieves relevant memories on demand. Because retrieval is local and selective, this cuts token usage and keeps context across sessions. In practice this means that decisions you made once, such as a convention, a workaround, or a lesson learned, remain available to future agent sessions rather than being re-explained each time. The memory layer is the mechanism behind the stated token savings, and it is also part of why Clippo can describe itself as private: your files, notes, and prompts never leave your PC.
The product's overall approach is visual and local. Everything happens on an infinite canvas where you arrange notes, terminals, IDEs, and browsers as nodes, then connect them with cables so that connected agents absorb the relevant context immediately. Because Clippo works alongside existing CLIs and local engines, you choose which agents and models run and how they are arranged. Privacy is central to the design: the content states zero account creation, zero login, and zero tracking, and that your files, notes, and prompts never leave your PC. Clippo also positions itself as lightweight and fast, explicitly contrasting itself with bloated web wrappers that eat up RAM. It opens fast, stays light, and leaves CPU and memory free for compiling and development, a meaningful detail when the same machine is running multiple coding agents at once.
Taken together, these capabilities produce a set of stated outcomes. You gain visibility, because instead of lost terminal tabs you see parallel agents on one screen and know who is coding and who is done. You gain alignment, because the project binder and cable-connected notes feed context to agents without repeated briefing. You gain efficiency, because persistent local memory keeps context across sessions and cuts token usage. You gain control, because Clippo IDE lets you inspect agent-generated code, review Git diffs, and edit before committing. And you gain privacy and performance, with no accounts, no logins, and no tracking, in a lightweight application that leaves resources free for compiling. The overall promise is that you step up as tech lead of your own AI engineering team.
Several concrete scenarios follow directly from the description. In a multi-front build, you assign one agent to build the backend API, another to write test suites, and a third to refactor the frontend, watching all three side by side on the canvas. In a planning workflow, you write architecture and conventions as Project notes, connect them to the relevant terminals so each agent absorbs the context, and let the Plan roadmap be reviewed before execution. When an agent needs information it cannot reach on its own, ClipSurf lets it browse docs or research solutions online, and it can test the local web app it just built in front of you. Before committing, you open Clippo IDE to review agent-generated code with syntax highlighting and inspect Git diffs. Across sessions, memory retrieval restores architectural decisions and solved pitfalls so returning to a project does not mean starting from zero.
Clippo is aimed at developers who work with AI coding agents and command-line AI tools and who want to orchestrate them rather than manage a pile of terminals. It runs on Windows 11, version 22H2 or higher, x64, and is distributed through the Microsoft Store, where it is developed by Thiago Grião. Compatible tools listed in the description include Claude Code, OpenAI Codex, Gemini CLI, OpenCode, Aider, Copilot CLI, and local engines such as Ollama and LM Studio; WSL and Docker are supported out of the box. Pricing follows a free start: 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 store listing notes that Clippo offers in-app purchases.
Clippo's primary value proposition is organisational and visual: it turns an increasingly parallel, agent-driven development workflow into something you can see, arrange, and steer. By placing parallel agents, project context, an embedded browser, a code viewer, and persistent local memory on a single infinite canvas, it removes the tab-chasing and repeated briefing that slow agent-assisted development down. It does so without taking over your choice of AI tools, since it works alongside the CLIs and local engines you already use, and without sending your work to the cloud, with no account, no login, and no tracking. For developers on Windows who want to act as tech lead of their own AI engineering team, Clippo's promise is a command room where the whole team, human and artificial, is on one screen.