Agents Never Sleep vs Foglamp: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agents Never Sleep and Foglamp — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agents Never Sleep
Agents Never Sleep
A tiny $4.99 Mac menu bar app that keeps long-running AI agents alive with the laptop lid closed, using one three-level slider.
Key features
- Closed-Lid Operation: Keeps agents and background jobs running with the MacBook lid shut, which the built-in caffeinate command cannot do.
- Three-Level Slider: One control with Sleepy, Awake, and Never sleeps settings, so changing sleep behavior takes a single drag rather than a terminal command.
- Menu Bar Only: Lives entirely in the menu bar with no window, dock icon, or configuration screens to manage.
- Native and Tiny: A small native macOS binary rather than a wrapped web app, minimizing overhead on a machine already running agents.
- Zero Data Collection: No telemetry, analytics, or tracking; what runs on the machine stays on the machine.
- Safe Revert: Toggling back down restores normal sleep behavior, avoiding the common mistake of leaving sudo pmset -a disablesleep 1 permanently enabled.
- No-Questions Refund: A 14-day money-back guarantee with no form to fill in and no reason required.
Best for
- Overnight Agent Runs: Letting a coding agent work through a long task while the laptop is closed and put away.
- Long Builds and Tests: Preventing a multi-hour build, test suite, or data job from being interrupted mid-run by sleep.
- Mobile Working: Carrying a MacBook between rooms or offices without propping the lid open to keep a job alive.
- Model Downloads and Training: Keeping large model downloads or local fine-tuning runs going unattended.
- Avoiding pmset Mistakes: Replacing manual sudo pmset toggles that are easy to enable and easy to forget to undo.
- Remote Sessions: Keeping a Mac reachable and working for a remote session or background service while it sits closed on a desk.
Foglamp
Foglamp
Observability for AI agents: see the cost, latency, traces, and output quality of every LLM call with one SDK.
Key features
- Two-Line SDK Instrumentation: Wrap your model once and every generateText / streamText call is automatically instrumented.
- Per-Agent Spans and Spend: View per-agent spans, latency, and spend with the full call flow across orchestrator, researcher, writer, and critic.
- Evals: Score production traffic with code checks and LLM judges, including PII checks and pass-rate scoring.
- Distributed Traces: Waterfall every run with the exact prompt and response captured per span.
- Alerts: Set threshold rules on cost, latency, and error rate to catch problems early.
- Cost Intelligence: Know exactly what every call costs broken down by model, agent, and customer.
Best for
- Catching Cost Regressions: Detect a sudden 10x cost spike days after shipping before it drains the budget.
- Debugging Bad Output: Trace the exact prompt and response that produced a wrong or hallucinated answer.
- Quality Gating with Evals: Continuously score production traffic to verify agents stay accurate and PII-safe.
- Latency Monitoring: Alert when per-agent latency crosses a threshold so slow responses are caught fast.
- Per-Customer Spend Analysis: Break down LLM spend by customer and model to understand unit economics.