Foglamp

Ship AI agents you can actually see

Artificial IntelligenceGitHubTechOpen Source

▲ 87 votes10 commentsLaunched Jun 19, 2026

Daily #12Weekly #106

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.

AI Analysis

📝 Summary

Foglamp is an open-source observability layer for AI agents built on the Vercel AI SDK. Core features include monitoring costs, latency, tokens, distributed traces, evals, and alerts for every generateText/streamText call, integrated in just two lines of code. It solves key pain points like lack of visibility into AI agent behavior, performance bottlenecks, and cost overruns in production. USP is its simplicity, open-source nature, and comprehensive tracing tailored to Vercel users. Value proposition: enables developers to ship reliable, observable AI applications without complex setup.

📈 Market Timing

In 2025-2026, AI agent adoption is surging with maturing LLM tech and rising demand for production reliability, governance, and cost control. Economic focus on AI efficiency and regulatory emphasis on transparency make observability essential. Excellent Timing.

✅ Feasibility

High technical feasibility as it leverages the mature Vercel AI SDK and standard observability patterns (OpenTelemetry-inspired). Low development/operation costs for open-source software, minimal compliance risks, strong scalability potential. High.

🎯 Target Market

Primary users: AI/ML engineers and full-stack developers using Vercel AI SDK, in tech startups and enterprises (software, SaaS industries), mainly US/Europe. AI observability TAM ~$1B+ by 2026, SAM for LLM tools ~$300M, SOM for Vercel ecosystem ~$50M. Pain points: debugging agent flows, tracking spend/latency. Strong willingness to pay for enterprise alerts/support.

⚔️ Competition

Medium. Direct competitors: 1. LangSmith (smith.langchain.com), 2. Helicone (helicone.ai), 3. Langfuse (langfuse.com), 4. Arize Phoenix (arize.com/phoenix). Advantages: hyper-simple 2-line integration for Vercel SDK, fully open-source, strong focus on distributed traces/evals. Disadvantages: narrower ecosystem than LangSmith, less brand recognition, potentially fewer enterprise integrations.

Upgrade Pro to unlock full AI analysis