Laminar
Open-source observability platform for AI agents that detects failures and supports evals
Observability tool by Laminar
Chalk Labs
Need help deploying Laminar?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Pick your client. Read the repository before you give any tool access to your data.
pip install lmnr
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: monitoring-observability, llm-evaluation
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Fact sheet
- Category
- Tracing · open source
- Self-host
- Yeslaminar.sh
- Open source
- Yeslaminar.sh
- Compliance (vendor says)
- SOC 2, HIPAAlaminar.sh
- Works with
- claude-agent-sdk, openai-agents-sdk, mastra, pydantic-ai, vercel-ai-sdk, langchainlaminar.sh
- Protocols
- opentelemetry, grpc, mcpraw.githubusercontent.com
Plans
| Free | $0 | 1 GB data, 7 day data access, 1 project, 1 seat, no Signals |
|---|---|---|
| Starter | $30/month | 3 GB data included then $2/GB; 30 day data access; unlimited projects and seats |
| Pro | $150/month | 10 GB data included then $1.50/GB; 6 month data access; unlimited projects and seats |
| Enterprise | Contact sales | custom limits, on-premise deployment, dedicated support |
From the vendor's pricing page, read Oct 24, 2026.
Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.
Signals
- Stars
- 3,438
- Forks
- 249
- Open issues
- 65
- Last commit
- Oct 16, 2026 (14 days ago)
- Last release
- Oct 16, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Packages
- pypi
lmnr - License
- Apache-2.0
- Repository
- github.com/lmnr-ai/lmnr
- Website
- laminar.sh
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get Laminar running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
Laminar. Agent Mart. https://agentmart.dev/observability/laminar (last updated 2026-10-24)