ArchestackGitHub ↗ (opens in a new tab)

#99th of 13 in Observability

Laminar

Rust-based agent tracing with SQL queries, signals and evals

Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
Stars
3.4k
License
Apache-2.0
Last commit
Sep 2026
Last release
Sep 2026

Overview

OpenTelemetry-native tracing for Vercel AI SDK, LangChain, OpenAI, Anthropic, Gemini and more with one line of SDK code, stored in ClickHouse and queried with SQL from the UI, MCP server or CLI. Signals watch every run for behaviors described in plain English and ping Slack; evals run from an SDK and CLI. docker compose up serves the UI on port 5667, for teams debugging browser and tool-using agents.

Who it is for: Teams debugging browser and tool-using agents

Strengths

  • Signals: describe a failure in plain English and get a Slack ping when it occurs
  • SQL over traces, spans, metrics and events, also from your coding agent via MCP
  • Rust backend with 20x trace compression and a realtime trace viewer
  • Custom Postgres schema support for shared database deployments

Weaknesses

  • Anonymous usage telemetry is on by default; LAMINAR_TELEMETRY_DISABLED=true opts out
  • Production is steered to the managed platform or the heavier docker-compose-full stack
  • AI features (chat-with-trace, SQL-with-AI) need a configured LLM provider
  • ClickHouse upgrades need manual container recreation and log-table truncation

What it needs

  • no GPU
  • Compose
  • Needs ClickHouse, PostgreSQL, LLM provider (optional, for AI features)
  • Models: Gemini, OpenAI and OpenAI-compatible gateways (LiteLLM, OpenRouter, vLLM), AWS Bedrock, Azure AI Foundry
  • port 5667

Also in Observability

See all 13
Also in Observability
RankProjectScore
1LangfuseTracing, prompt management and evals for LLM apps on ClickHouse Live demo ↗ (opens in a new tab)35.6k stars, custom license74 out of 100
2PhoenixLLM tracing, evals, datasets and prompt playground built on OpenTelemetry11.8k stars, custom license74 out of 100
3promptfooCLI for evaluating and red-teaming prompts, agents and RAG25.9k stars, MIT71 out of 100
#4MLflowTracing, evals, prompt registry and AI gateway plus classic ML tracking Live demo ↗ (opens in a new tab)28.3k stars, Apache-2.070 out of 100
#5OpikTrace, evaluate and monitor LLM apps and agents, Apache-2.0 end to end22.5k stars, Apache-2.064 out of 100