Foglamp vs Port Radar for macOS: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Foglamp and Port Radar for macOS — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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.
Port Radar for macOS
Juan Sebastian Solano
Free open-source Mac menu bar app that lists every listening localhost port and uses on-device Apple Intelligence to explain what each process is.
Key features
- Menu Bar Port Scanner: Lists every listening localhost port in the menu bar with port number, PID, owning project, runtime, and the exact command line.
- Apple Intelligence Explanations: Ask in plain language what a process is, why it has been running, and whether stopping it is safe; answers are generated on-device with no cloud call.
- Project Grouping: Groups processes by the project directory that owns them and flags shared or orphaned processes with no obvious parent.
- One-Click Cloudflare Tunnels: Share any local port as a public URL through a Cloudflare quick tunnel, auto-installing cloudflared with no CLI, ngrok, or account setup.
- Clean Process Control: Stop a process gracefully or force-quit it with a confirmation step, directly from the menu bar.
- Live Tunnel Management: See which tunnels are currently live and public, copy their URLs, and stop them at any time.
- Fully On-Device Privacy: All inspection and AI explanation happens locally; no process data or command lines are sent off the machine.
- Open Source Under Apache 2.0: The full source is published on GitHub, so the app can be audited or built from source.
Best for
- Port Conflict Debugging: Finding out which forgotten process is holding port 3000 before starting a new dev server.
- Runaway Process Triage: Identifying a Node or Python process quietly eating CPU and deciding whether it is safe to kill.
- Preview Sharing: Handing a teammate or client a live public URL for a work-in-progress local app in seconds.
- Multi-Project Development: Keeping track of which of several simultaneously running projects owns each active port.
- Onboarding and Handover: Letting a developer new to a codebase understand what the local stack actually starts up.
- Privacy-Sensitive Environments: Getting AI assistance about local processes in settings where sending command lines to a cloud model is unacceptable.