Alternatives to Euphony

Trace, replay and debug AI agent runs — LLM calls, tool use and multi-agent interactions in one timeline, via a single SDK

Local, MIT-licensed token usage and cost tracking for AI coding agents — reads the logs your agents already write.

Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.

Open-source LLM observability and agent evaluation you can trace, self-host, and eval end to end.

Comet's Opik brings LLM observability and evaluation that turns agent traces into code fixes

Open source AI engineering platform for agent and LLM tracing, evaluation, prompt management, and ML lifecycle work.

Maxim AI simulates, evaluates and observes AI agents — with Bifrost, its open-source LLM gateway, for routing and guardrails.

Helicone is an AI gateway and LLM observability platform that routes, caches, and logs traffic across 100+ model providers.

Braintrust traces agent runs, scores them with evals, and surfaces production failure patterns before they ship.

LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.

Fiddler AI is an enterprise control plane for agent observability, inline guardrails, and auditable AI governance.

Open-source AI evaluation and observability for LLMs, RAG apps, AI agents, and ML models.

Galileo turns offline AI evals into production guardrails for agents and RAG pipelines.

Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.

Cekura tests, monitors, and self-improves voice AI agents with automated QA loops.

Goodfire's Silico is an AI interpretability agent for reverse-engineering, debugging, and steering model internals.

Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.

Raindrop traces, detects, and simulates fixes for silent AI agent failures in production before they reach your users.

Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.

Edgee Team token observability puts every coding agent on a budget you set, with per-repo and per-PR attribution.

Chronicle Labs replays your production data to test and validate AI agents before launch.

Agnost AI monitors production AI agents, clusters silent failures, and opens a fix for review.

Sharbo builds a skill network for AI agents — encode expert workflows once and let every agent activate them autonomously.

Burntop is a FastAPI, React 19 and Postgres full-stack template that keeps coding agents honest with 200+ end-to-end tests.

Slack-native continuous improvement for production AI agents: triage failures, isolate root causes, validate fixes before you ship.

OpenJudge is an Apache 2.0 open-source AI evaluation framework shipping 50+ benchmark-validated graders for agents, LLMs, code, math, and multimodal models.

Zero-config local dashboard that shows what your OpenClaw agents actually did, what they cost, and whether they leaked secrets

Nebuly turns the conversations employees and customers have with your AI agents into adoption, fluency and ROI numbers for enterprise leaders.

AI quality workspace for LLM evaluation, production observability, red teaming, and governance

Put a hard question to three frontier models — they answer blind, cross-examine each other, and hand back the one answer that survived, with a verdict.