Adrafinil: the macOS utility that prevents sleep only when your AI agents are working

Adrafinil is an open-source CLI tool for macOS that prevents the computer from sleeping only while agents such as Claude Code, Cursor or Aider are actively running. Unlike caffeinate or Amphetamine, it integrates directly with the agents' hooks and releases the system when it detects inactivity.
By Ecosistema Startup · June 27, 2026.
Adrafinil is a small open-source utility for macOS designed to solve a very specific problem affecting developers who work intensively with artificial intelligence agents: the Mac goes to sleep in the middle of a long-running task —compilation, mass code generation, model downloads, or local inference— interrupting the process and forcing it to restart from scratch. The tool automatically prevents the system from sleeping, but only while the AI agent is actively running.
**The problem it solves**
Traditional tools like `caffeinate` (a native macOS command) or Amphetamine (available on the Mac App Store) can keep the machine awake indefinitely or as long as certain applications are open. However, none of them is designed to adapt to the real life cycle of an AI agent: activation at the start of the session, intensive work for minutes or hours, and full completion when finished. Leaving the Mac permanently awake wastes battery, generates unnecessary heat, and can shorten the hardware's lifespan, especially during long sessions.
The article quantifies the impact: a developer who loses 30 minutes a day restarting AI processes interrupted by sleep accumulates 2.5 hours of lost time per person per week. For startup teams where hardware is expensive —especially in Latin American markets and Spain— unnecessary thermal wear also has a real economic cost.
**How Adrafinil works**
Adrafinil's distinctive value lies in its direct integration with the hooks of the leading AI agents for developers: Claude Code, Cursor, and Aider. When one of these agents starts an active session, Adrafinil automatically blocks system sleep, including clamshell mode (lid closed). When the agent finishes or remains idle for a configurable threshold, it releases the block and allows the Mac to sleep normally.
In addition to sleep management, the tool incorporates thermal protection: it monitors the system temperature and automatically releases the block if it detects risky conditions. This is relevant because AI agents keep the CPU and GPU under high load for prolonged periods, which can lead to heat buildup if there is no active management.
The interface is command-line (CLI), optimized for developers who already work in Terminal, with low response latency.
**Comparison with alternatives**
The article includes a comparison table with the main alternatives:
- **Adrafinil** (open-source CLI): activation via AI agent hooks; its main advantage is automation specific to AI workflows. - **Amphetamine** (Mac App Store, free): activation by specific apps or by time; its advantage is the graphical interface and high configurability. - **caffeinate** (native macOS command): manual activation via Terminal; no additional installation, full control via script. - **KeepingYouAwake** (third-party app): a modern, free alternative, with manual or app-based activation.
The native `caffeinate` command allows syntax such as `caffeinate -t 3600` (keep awake for 1 hour) or `caffeinate -w [PID]` (until a process finishes), but it requires the developer to manually identify the agent's PID before each session, which introduces operational friction.
**Implications for agentic AI workflows**
In 2026, AI agents like Claude Code, Cursor, and Aider perform autonomous, long-running tasks: analysis of extensive contexts, mass code generation, compilation, and downloading of heavy models. This changes local infrastructure requirements: the developer's hardware must behave differently depending on whether an agent is active or not.
Adrafinil represents what the article calls «a new category of automation tools designed specifically for the modern AI agent workflow». It does not compete directly with Amphetamine or caffeinate in their general use cases, but rather adds a layer of intelligence that aligns the hardware's power state with the real life cycle of AI tasks.
**Practical recommendations for teams**
The article proposes several concrete actions for founders and developers:
1. **Audit the current workflow**: identify how many times a week developers restart AI tasks due to sleep interruptions. If it exceeds 2-3 times, a specific tool can save hours per week. 2. **Configure Amphetamine per process**: activating it only when Cursor or Claude Code are open partially replicates Adrafinil's functionality without requiring a CLI installation. 3. **Implement `caffeinate -w [PID]` in scripts**: for CI/CD workflows or agents on local servers, integrating the command into Bash/ZSH scripts automates control without external dependencies. 4. **Monitor temperature and battery**: on a MacBook without constant power, configuring battery thresholds (for example, disabling awake mode below 20%) protects the device from sudden shutdowns.
**Outlook for startups in LATAM and Spain**
The article makes explicit mention of the economic context of these markets: where the cost of a high-end MacBook Pro is especially significant, extending the hardware's lifespan through intelligent thermal management is not just a technical optimization but a profitability decision.
**Assessment**
Adrafinil is a very niche tool, but that niche is growing fast: any developer who uses AI agents intensively on macOS has the problem it solves. Its value lies not in technical complexity —in fact, native `caffeinate` can approximate its function with some scripting— but in its automatic integration with the hooks of the most popular agents on the market, eliminating the friction of manual configuration in each session.
As sector context, the proliferation of support tools for agentic AI workflows —context management, task orchestration, token-cost monitoring, and now hardware power management— reflects the ecosystem's maturation: AI agents are no longer a one-off novelty but part of the daily development cycle, and tooling is adapting accordingly.