Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

Foglamp

Ship AI agents you can actually see

The open source observability layer for AI agents built on the Vercel AI SDK. Costs, latency, tokens, distributed traces, evals, and alerts for every generateText / streamText call — in two lines.

Top comment

👋 I'm Gustavo, one of the makers of Foglamp. I kept shipping AI agents I couldn't actually see. Costs would creep up with no idea which agent was to blame. An agent would quietly start looping and burn tokens for an hour. Didn't find a great alternative to AI SDK, so I built one. Foglamp: observability for AI agents. Wrap your model in one line and you get, on every call: - 💸 Cost, latency & token usage — per agent, per workflow, even reasoning tokens - 🔭 Distributed traces of the whole run, with replay - ✅ Evals on your production traffic (LLM-as-judge + code checks like "No PII") - 🚨 Alerts when spend spikes or pass-rate drops It's open source (Apache 2.0) and self-hostable, there's a free hosted tier, and you can see your first trace in less than 2 minutes. Where we're headed: closing the loop from observe → act — recommending cheaper models that still pass your evals, killing runaway agents before they cost you, and optimizing prompts from your own failure traces. Would genuinely love your feedback 🙏 What's the scariest way an agent has surprised you in production?

About Foglamp on Product Hunt

Ship AI agents you can actually see

Foglamp launched on Product Hunt on June 19th, 2026 and earned 96 upvotes and 10 comments, placing #15 on the daily leaderboard. The open source observability layer for AI agents built on the Vercel AI SDK. Costs, latency, tokens, distributed traces, evals, and alerts for every generateText / streamText call — in two lines.

On the analytics side, Foglamp competes within Open Source, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Foglamp performed against the three products that launched closest to it on the same day.

Who hunted Foglamp?

Foglamp was hunted by Gustavo Fior. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Foglamp including community comment highlights and product details, visit the product overview.