Operations view for agent work
See which sessions are live, what they are doing, where they are blocked, and which teammate or automation started the run.
Use case · coding agent command center
A command center for coding agents.
Run autonomous developer agents from a shared browser control plane instead of scattered terminal tabs. AFK gives engineering teams live session state, review gates, durable history, cost and context visibility, and model-agnostic routing.
• Live dashboard for running, waiting, failed, and completed agent sessions.
• Persistent session history with prompts, tool calls, approvals, cost, and context usage.
• Team-visible browser workflows for handoff, steering, review, and unattended work.
• Bring your own Anthropic, OpenAI, Gemini, subscription, local, or compatible model connection.
Control before code changes land
Use permission modes, plan review, and human-in-the-loop gates when an agent needs to write files, run commands, or continue risky work.
Execution where your code already lives
Run sessions on a developer machine, shared daemon, Docker-backed workspace, or remote repository flow without making AFK an inference reseller.
Most coding agents are powerful but operationally invisible: a terminal tab streams tokens, a laptop sleeps, and the team loses track of what was attempted. AFK turns that workflow into a browser-visible command center for long-running AI developer sessions.
The platform is designed for teams adopting autonomous coding agents in real engineering environments: CI repair, dependency updates, code review follow-up, migration prep, support tooling, and backlog automation. Every run keeps a durable trail that can be inspected, resumed, or handed off.
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