Relayer visualizes an AI coding agent's actions as a live, interactive graph linked to the code repository, letting developers track, review, and steer the agent's steps in real time. The platform supports voice and text commands, provides spoken progress summaries, and syncs the graph across desktop and mobile for seamless team collaboration.
Funding
Funding not disclosed
Founders
Product
Problem
Developers using AI coding agents often lose track of the agent’s actions within a codebase, leading to context drift, difficulty reviewing changes, and interruptions when switching between devices.
Solution
Relayer provides a live visual graph that maps an AI coding agent’s step‑by‑step actions across a repository. Users can issue voice or text commands to direct the agent, receive spoken summaries of its progress, and click on any node in the graph to inspect context or steer the next operation without restarting the conversation. The interface synchronizes across desktop and mobile, preserving the graph’s structure and enabling seamless collaboration among team members.
Target Audience
Primary customers are software development teams and engineering groups that integrate AI coding assistants into their workflows and need transparent, controllable interactions with those agents.
Features
- Real‑time graph visualization of the agent’s execution flow within the connected code repository
- Voice and text input with spoken summaries that keep users informed of the agent’s plan and actions
- Interactive nodes that allow users to review context and manually select the agent’s next step
- Cross‑device synchronization so the same graph view is available on desktop and mobile
- Linear chat overlay for natural language interaction while the graph maintains structural visibility