hecate
★ 23
vs
lmnr
★ 3.4k
hecate vs lmnr
hecate: Hecate is a local-first AI gateway and agent console that routes cloud and local models, runs tool agents, supervises coding agents like Codex/Claude Code/Cursor, and provides observability. It offers a desktop app and Docker deployment for local operation.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.
01
TL;DR
hecateObservability · ★ 23
Route AI model requests across multiple providers with failover and budget control
lmnrObservability · ★ 3.4k
Debugging and understanding the execution flow and internal states of AI agents.
02
Side-by-Side Comparison
Field
hecatelmnrCategory
Observability
Observability
Stars
★ 23
★ 3.4k
License
MIT
Apache-2.0
Install Command
docker run --rm -p 127.0.0.1:8765:8765 -v hecate-data:/data ghcr.io/hecatehq/hecate:0.1.0-alpha.29
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
4d ago
1d ago
Open Source
Yes
Yes
Tags
acp, ai, ai-gateway
AI Observability, Tracing, LLM Evals
03
Features
hecate01Gateway for cloud + local models (OpenAI, Anthropic, Ollama, etc.)
02Hecate Chat with tools on/off for direct model chat or task-backed agent turns
03External Agent console for Codex, Claude Code, Cursor with supervision and approvals
04Operator-grade control: cost accounting, budgets, rate limits, and OpenTelemetry
05Local-first deployment with desktop app (macOS/Linux/Windows) or Docker
lmnr01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04
Use Cases
hecate↳Route AI model requests across multiple providers with failover and budget control
↳Run supervised coding agent sessions for development workflows
↳Monitor and observe AI system behavior with full telemetry and logging
lmnr↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05
Best For
hecate—
lmnrEssentialTrending
FAQ
FAQ
What is the difference between hecate and lmnr?
Both hecate and lmnr are in the Observability category. hecate has 23 stars, while lmnr has 3.4k stars.
Which is better, hecate or lmnr?
The best choice depends on your use case. Choose hecate if Route AI model requests across multiple providers with failover and budget control, and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is hecate free or open source?
Yes, hecate is open source on GitHub (MIT).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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