lmnr vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| lmnr | ollama | |
|---|---|---|
| Tagline | Open-source observability platform for AI agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 3.1k | 176k |
| Forks | 216 | 17k |
| Open issues | 91 | 3.4k |
| Language | TypeScript | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Evaluation & Observability | AI Agents, LLM Frameworks |
lmnr
Laminar provides observability tools for AI agent monitoring, evaluation, and debugging. It includes tracing, signals monitoring, evaluations SDK/UI, an MCP/CLI interface, dashboard builder, and data annotation UI.
TypeScript
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go