laminar
All-in-one platform for production-grade AI applications.
laminar launched on February 29, 2024 with 81 votes, #785 of 3,962 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
A single platform to build, deploy and monitor next-gen AI apps. Build complex async pipelines, and run them on fastest Rust backend. Release pipelines to production with version control. Monitor each pipeline node with zero-latency-overhead logs.
Open-source platform to trace, evaluate, and debug AI agents. Laminar surfaces agent failures, and helps you fix them.
Laminar is an open-source agent observability platform. It automatically catches agent failures and helps you fix them. Laminar automatically captures LLM calls , tool calls , sub-agents, costs, and tokens, and shows it in a readable transcript view. Laminar Signals analyze every agent run to surface failure modes you didn't anticipate. Similar failures are clustered into distinct patterns to give you a high level overview. Signal clusters show the full distribution of your agent's failures and behaviors. Understand whether a newly reported issue has occurred before. The agent ran web_search three times for the same question, carried on past a 404 from fetch_page without retrying, then…from laminar.sh
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Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in Rust2024 · github.com · ▲203Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust. How is Laminar different from the swarm of other “LLM observability” platforms? On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI…
SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…
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