AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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One terminal for all your coding agents: a coordinator you talk to, threads that do the work.
You talk to one coordinator. It splits the work into tasks and hands each to a thread: an agent in its own git worktree that opens a pull request and reports back. tm, a single binary, keeps every agent running in a background server when you close the terminal, and its dashboard shows what each one is doing and what waits for you. All progress lives in plain markdown under ~/.terminatr/projects/ /, so clearing an agent's context loses nothing.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
One terminal for all your coding agents: a coordinator you talk to, threads that do the work.
You talk to one coordinator. It splits the work into tasks and hands each to a thread: an agent in its own git worktree that opens a pull request and reports back. tm, a single binary, keeps every agent running in a background server when you close the terminal, and its dashboard shows what each one is doing and what waits for you. All progress lives in plain markdown under ~/.terminatr/projects/ /, so clearing an agent's context loses nothing.檢視完整 README ↗