Agentdockyard
Description
Local task hub for AI agents. Track, delegate and close work across sessions from one desktop dashboard.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
AgentDockyard
**A local task hub for AI coding agents.**
AgentDockyard helps you keep track of what your AI agents are doing **without reopening every session**.
It works when you have **many different agents** working together, but also when you have **just one agent spread across many sessions**. You can immediately see what is **in progress**, **blocked**, **waiting**, **done**, and **who claimed what**.
Install the app, copy the prompt snippet shown in the built-in guide, paste it into your agent memory, and you're done. After that, your agents can create, update, claim, delegate, and close tasks on their own.
Local-first. No cloud dashboard. No account. No telemetry. By [Steeve Cordier](https://sitecrea.fr/) — MIT License.
Why this exists
When you run several AI sessions in parallel, the real problem is not generating code. It is **remembering the state of the work**.
Questions pile up fast:
- Which session is still working on something?
- Which task is blocked and needs input?
- Which task is finished already?
- Which agent already picked up
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