# lmnr-ai/lmnr

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

Repository: https://github.com/lmnr-ai/lmnr
Canonical: https://ross.abutalabs.com/products/lmnr
Homepage: https://laminar.sh
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: aiops, developer-tools, observability, agents, ai, rust-lang, analytics, llm-evaluation, llm-observability, monitoring, open-source, self-hosted, ai-observability, llmops, evals, evaluation, typescript, ts, rust, agent-observability
Last push: 2026-08-25T18:19:18+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 99, longevity 52
- inputs: {"age_days": 734, "days_push": 8, "days_rel": 8, "gap_med": 8.5, "n_releases_24m": 49}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3198, forks 227 (observed 2026-08-28T04:07:48.412804+00:00)

## What it is
Laminar is an open-source, OpenTelemetry-native observability platform purpose-built for AI agents, offering tracing, plain-language failure detection (Signals), evaluations, datasets, and dashboards. It is written in Rust for high performance, can be self-hosted via Docker Compose, and provides SDKs, a CLI, and an MCP server for querying trace data.

## Use cases
- trace llm calls and tool calls in my ai agent
- detect when my agent gets stuck in a loop and alert me in slack
- run llm evals in ci/cd against datasets
- self-host an llm observability platform
- debug agent failures across thousands of traces
- query agent traces with sql from my coding agent
- build evaluation datasets from production traces

## When to choose
- you are building or operating LLM agents in production and need tracing, failure detection, and evals in one platform
- you want OpenTelemetry-native tracing with auto-instrumentation for LangChain, Vercel AI SDK, OpenAI, Anthropic, and more
- you need to self-host observability infrastructure with high-performance ingestion and trace compression

## When to avoid
- you only need generic application APM without LLM/agent-specific features
- you want a fully managed zero-maintenance solution and cannot run Docker services
- your project is not LLM/agent-based and would not benefit from trace analysis of agent runs

## Facets
- artifact type: service
- maturity: active
- function: monitoring, tracing, analytics, alerting, mcp, cli, sdk
- domain: large-language-models, monitoring, developer-tools, self-hosted
- platform: self-hosted, cli, rust
- tags: llm-observability, opentelemetry, llm-evaluation, agent-tracing, llmops, clickhouse, signals, evals, ai-agents, docker, web-server, nodejs, typescript

## Member repositories
- lmnr-ai/lmnr (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:48.412804+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:24:51.984685+00:00, confidence not recorded.
  - readme: https://github.com/lmnr-ai/lmnr (fetched 2026-08-28T04:07:48.412804+00:00, sha 6bae1dc7f3b6)
  - homepage: https://laminar.sh (fetched 2026-08-29T09:39:07.408646+00:00, sha 2f6653fe2079)
  - site_page: https://laminar.sh/docs (fetched 2026-08-29T09:39:07.412141+00:00, sha 40a6f90be0b8)
  - site_page: https://laminar.sh/docs/platform/viewing-traces (fetched 2026-08-29T09:39:07.416165+00:00, sha 39d8d9bffb64)
  - site_page: https://laminar.sh/docs/signals/introduction (fetched 2026-08-29T09:39:07.418144+00:00, sha e02491831dce)
  - site_page: https://laminar.sh/docs/signals/clusters (fetched 2026-08-29T09:39:07.419993+00:00, sha 84535f139fb4)
  - site_page: https://laminar.sh/docs/platform/laminar-agent (fetched 2026-08-29T09:39:07.421813+00:00, sha 7f108320a93d)
  - site_page: https://laminar.sh/docs/platform/cli (fetched 2026-08-29T09:39:07.423457+00:00, sha 9b9b939ed7dc)
  - site_page: https://laminar.sh/docs/platform/mcp (fetched 2026-08-29T09:39:07.425350+00:00, sha 6c10c2640ce5)
  - site_page: https://laminar.sh/pricing (fetched 2026-08-29T09:39:07.414295+00:00, sha 7eee671d430d)
- Data as of 2026-08-30T08:39:29.467469+00:00.