Launched this week

Watchdog

Launched this week

Local control plane for subagents and agent execution graphs

9 followers

Local control plane for subagents and agent execution graphs

9 followers

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Subagents, agentic loops and execution graphs make parallel work possible, but they also make it easy to lose track of what each agent is currently doing, which model and reasoning effort it used, amount of tokens being consumed, and other useful info. Watchdog gives you one live view of what your coding agents are doing, what they cost and how they relate to each other. Stop, steer and control your all agents from one place. Watchdog has 3 surfaces- Yard (pixel art UI), Operator, and a TUI.

Free

Launch tags:Developer Tools•Artificial Intelligence•GitHub

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Framer AI AgentsDesign and publish professional sites with AI

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Maker

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I noticed that people on X (Twitter) were in favour of subagents overall, but were not happy with how using subagents, loops, and execution graphs resulted in agent observability taking a massive hit. Sometimes, even when asked to spawn with cheaper models and lower reasoning efforts, subagents would spawn with expensive high reasoning models and end up burning a hole in the user's pocket. I have faced similar issues too, so I thought it would be a good idea to tackle this problem. My vision for Watchdog is to make it a harness-agnostic control plane. It already supports Codex CLI and Pi, and I plan to add support for Claude Code and OpenCode soon.

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6d ago

honestly the live view sounds super useful, been burned by runaway agents before. one thing id love is a cost projection feature, like showing estimated spend if current agents run to completion based on their current token burn rate. would help me catch expensive runs before they blow up the budget.

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4d ago