Saggar: Mac terminal that organizes sessions and manages attention.

What it does

Saggar is a native macOS terminal manager designed to handle multiple concurrent terminal sessions, particularly when running coding agents alongside manual shell work. It organizes sessions by status (needs attention, working, idle, finished, failed, ready for review) and surfaces the ones requiring human input through a priority-ordered queue. Users can read, type into, and take over any session. The tool integrates with AI coding providers including Claude Code, Codex, Antigravity, Pi, OpenCode, and Copilot CLI, running each in its own terminal window.

Who it is for

Saggar targets developers who run multiple projects simultaneously and delegate work to coding agents. It is built for people managing the supervision loop between human direction and agent execution—reviewing outputs, answering prompts, handling failures, and approving changes. The tool requires macOS 26 Tahoe or later on Apple silicon.

Pricing

The site does not show prices.

How it stands out

The core design philosophy keeps terminal sessions as actual shells rather than hiding agent activity behind a summary interface. Users get full read and write access to every running agent. Saggar includes a companion phone app for remote session oversight, webhook integration for CI/CD events, automation features like scheduled jobs and prompt queues, and a native Mac implementation rather than an Electron wrapper. The triage queue (activated with ⌘J) walks through waiting work by priority. Session context tracking shows token usage per provider and allows transcript search across past interactions.

What a founder should check

First, verify the actual switching cost from existing terminal multiplexers (tmux, screen) and IDE-integrated terminals. Many developers have deep muscle memory and scripted workflows that would require significant relearning. Second, examine whether the macOS-only constraint and Apple silicon requirement meaningfully limit the addressable market, especially among teams using mixed OS environments or remote servers. Third, investigate pricing assumptions around coding agent usage—as LLM provider costs fluctuate and new agents emerge, the value proposition of Saggar's multi-provider architecture and usage tracking may face pressure from simpler, cheaper alternatives or from agents that manage their own terminal abstractions.

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