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Coordinate AI coding agents with notifications, task queues, monitoring, and approvals.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CacheBash" yet — see the docs or source repo.
Use CacheBash to create a task queue for this project: assign “fix login bug,” “add unit tests,” and “update API docs” to different AI coding agents, and keep me updated on each task’s status.
A task assignment result, queue status, and a way to track progress updates from each agent.
Have CacheBash send me a mobile notification before an AI agent changes production configuration, continue only after I approve it, and record the approval result.
A workflow with a human-approval checkpoint that pauses critical actions until approval is granted.
Use CacheBash to monitor two AI coding agent sessions, forward error details from one agent to another for troubleshooting, and notify me of key progress.
A collaboration flow covering session monitoring, inter-agent messaging, and mobile notifications.
Developers or tech leads can use it to manage task queues and status when multiple AI coding agents work in parallel. This reduces manual coordination and context switching.
When AI agents are about to make important code or configuration changes, teams can receive mobile alerts and approve them manually. This fits workflows that require human-in-the-loop control.
When one agent hits an error or gets blocked, inter-agent messaging can hand the issue to another agent for help. Users can follow progress through session monitoring.
It is an MCP server for coordinating AI coding agents. Known capabilities include mobile notifications, task queues, inter-agent messaging, session monitoring, and human approvals.
Yes. The original description explicitly mentions human-in-the-loop approvals, which means users can approve certain steps manually.
The provided material does not include installation steps, runtime requirements, or key information. Check the source repository for prerequisites.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Connect local AI coding agents to chat, delegate, and collaborate privately.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Coordinate multi-session coding with claims, locks, shared knowledge, and live conflict prevention.
Give AI coding agents automatic access to AGENTS.md for codebase conventions.
Give AI coding assistants direct local shell access for bash-driven development.