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aldefy/mission-control v2.4.0 — a local dashboard for coding agents

aldefy/mission-control is a local dashboard that collects and shows the sessions of multiple coding agents along with the requests waiting for a human response.

Repositoryaldefy/mission-control ↗

aldefy/mission-control is a local dashboard that collects and shows the sessions of multiple coding agents along with the requests waiting for a human response.

GitHub description: One local dashboard for all your AI coding agents (Claude Code, Codex, any harness). See what needs you, and answer it from your phone. No cloud.

stars
★ 8
Forks
1
Language
TypeScript
License
MIT
Latest release
v2.4.0
Read original source ↗View on GitHub ↗

aldefy/mission-control is a local dashboard that brings the sessions and task progress of multiple coding agents together on one screen. The latest release is v2.4.0, but the provided material does not list what changed in this version, so the specific changes cannot be confirmed. Repository and branch checkouts are shown as projects and worktrees respectively, and agent runs are grouped by session. Claude Code and Codex sessions are read without any separate configuration.

The purpose of this tool is to watch the progress of multiple agents and the requests that need human review in one place. Requests waiting for a response are collected in a queue, and prompts that require notification can be sent to a phone to receive an approval or a rejection. Other execution tools can be connected through adapters or a common execution format. It is written in TypeScript and uses the MIT license. It runs locally without an account or cloud, and the documentation explicitly states that external connections are optional.

However, with only the provided material, it is not possible to evaluate the actual changes or the performance of v2.4.0. The star count is 8, and no performance comparison or usage information is given in FACTS. When configuring external connections, it advises obtaining user approval. Therefore, the assessment that this material supports is limited to the scope of a local tool that gathers the sessions and pending requests of multiple agents.