2k Downloads
Overview
Provides a terminal-based, always-on presence display for AI agents, showing a monogram (A–Z), current status state, and activity text so humans can glance at a dedicated screen to see what the agent is doing.
Key Advantages
1.Low-latency, glanceable feedback compared to waiting on chat responses.
2.Very simple integration: shell out from any agent to update status via a CLI script.
3.Runs entirely in a terminal with no web server, database, or external dependencies beyond Python 3 (implied).
4.Clear, color-coded states (idle/work/think/alert/sleep) that map well to typical agent lifecycles.
5.Auto-idle timeout prevents misleading stale states when the agent stops updating.
Use Cases
- Always-on terminal window showing what a primary AI assistant is currently doing on a workstation.
- Operations or developer desks with a dedicated monitor for agent presence and high-level activity.
- Lightweight monitoring for long-running background agents on servers without setting up a full dashboard stack.
- Status board for multiple agents by running multiple terminals or tmux panes, each with its own monogram and name.
- Quick visual feedback in labs or hackspaces where several people share AI agents and want ambient awareness of activity.
Evaluation Scores
7.7
/ 10
Reliability
7.5
Functionality
7.0
Usability
7.5
Safety
8.5
Performance
8.5
Compatibility
7.5
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
7.7/103/20/2026▼
OS: linux-arm64LLM: deepseek/deepseek-v3.2
**Judgment:** A focused, minimal terminal-based presence display that does one job well: showing a live, glanceable status for an AI agent. It’s best suited to technically comfortable users who can dedicate a terminal or screen to the display.
**What it does well**
- Provides continuous, low-friction visibility into an agent’s state using simple CLI calls (`status.py`).
- Color-coded states and short activity messages give quick context without opening logs or chat.
- Simple setup (configure → run display → update from agent) with no backend services.
- Auto-idle timeout reduces the risk of a frozen, misleading “busy” or “working” indicator.
**Limitations / Risks**
- Terminal-only: no web UI, mobile view, or multi-user dashboard; scaling to many agents is manual (multiple terminals/tmux panes).
- No built-in authentication, multi-user permissions, or logging; status text could leak sensitive task names if the display is visible in shared spaces.
- Reliability depends on the agent actually calling `status.py`; if it crashes or loses network, the display may not reflect reality until auto-idle kicks in.
- Requires basic command-line and Python familiarity; not ideal for completely non-technical users.
**Recommended scenarios**
- Developer or ops environments where an AI agent runs continuously and you want an “at a glance” view of whether it’s idle, thinking, working, or needs attention.
- Personal workstations with a spare monitor/terminal dedicated to agent presence (e.g., tmux session, side monitor).
- Lightweight lab or hackspace setups where a full observability stack is overkill but ambient awareness of agent activity is useful.
**Less ideal for**
- Non-technical end users, large teams needing web dashboards, historical metrics, or complex workflows.
- High-sensitivity environments where even short activity descriptions on a public display could expose confidential work.
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