Termi Protocol

Termi Protocol provides a unique 3D simulation environment for AI agent workflows, designed for developers and individuals who utilize coding agents. Its primary purpose is to offer a visual and interactive way to observe and manage the complex processes undertaken by these agents, transforming abstract command-line operations into a tangible, observable experience. The problem Termi Protocol addresses stems from the opacity of traditional AI agent execution. Staring at scrolling terminal logs often fails to provide a clear understanding of what an AI agent is actually doing, especially in complex or multi-agent scenarios. This lack of visibility can lead to missed errors, inefficiencies, and difficulty in steering the agent's progress effectively. Termi Protocol aims to solve this by making the agent's actions transparent and comprehensible. Key features of Termi Protocol include a visually rich 3D environment where AI coding agents are given a physical presence. Users can assign agents a face, a desk, and a workspace, allowing them to observe actions like reading files, writing code, and running commands as if watching a game. This visualization is not merely decorative; it directly reflects the agent's real-time activity, such as digital rain appearing during an `npm install` process or papers emerging from a computer to represent files being read. For multi-agent collaboration, Termi Protocol introduces Sync Mode, enabling agents to perceive and interact with each other's tasks. This feature enhances coordination and allows users to better understand the collective state of multiple agents, such as identifying which agent is working, idle, or sleeping. The system also incorporates file locking mechanisms to prevent agents from interfering with each other's work on the same repository, with idle agents capable of taking over tasks from their peers. Termi Protocol also offers advanced control and monitoring capabilities. Checkpoints allow users to rewind any step in the agent's workflow, providing a form of 'time travel' for code development. On-device memory stores the history of each agent's actions and the reasoning behind them, offering a searchable record without requiring external API keys. Furthermore, all critical actions require user approval, ensuring that no risky operations occur without explicit consent. The product's methodology is centered around making the abstract concrete. Instead of just processing commands, Termi Protocol translates them into visual cues within the 3D room. For instance, reading files is depicted by papers appearing, coding by digital rain, and potential errors by a red warning above an agent's head accompanied by shaking. This approach aims to make the agent's state, activity, and collaboration process intuitively understandable. The benefits for users include enhanced visibility into AI agent operations, leading to easier identification of bugs and inefficiencies. The ability to pause, approve, rewind, or compare agent actions directly from the visualized workflow empowers users to make more informed decisions. The local-first, pay-once model also offers a sense of ownership and security. Concrete use cases for Termi Protocol include solo developers managing complex coding tasks with AI assistants, teams coordinating multiple AI agents on a shared project, and researchers monitoring AI agent behavior. It's particularly useful when debugging or refactoring code, as the visual representation of file access, command execution, and potential conflicts can highlight issues that might be missed in raw logs. Termi Protocol is available for macOS and Windows. It operates on a pay-once model, with a special introductory price for founding backers. The product is designed for developers and users of AI coding agents such as Claude Code, Codex, and Gemini. The underlying technology allows it to connect to existing agent sessions without requiring them to be restarted or wrapped. In essence, Termi Protocol transforms the opaque execution of AI coding agents into a transparent, interactive, and visually engaging experience, providing a powerful tool for observation, control, and decision-making in AI-driven development workflows.