Alternatives to Agnost AI

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

Galileo AI Evals turns offline evaluations into production guardrails that gate your AI agents in real time.

Opik by Comet turns LLM traces into root-cause groupings, eval scores and code fixes so agent teams stop shipping the same bug twice

Honeycomb Query Assistant turns plain-English questions into HQL against live production telemetry.

Galileo is an AI observability and eval engineering platform that turns offline evals into production guardrails for agents and RAG.

Open-source LLM observability and agent evals: trace, evaluate, and improve production AI agents with MIT-licensed tooling.

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

Athina AI is a collaborative AI development platform for managing prompts, running LLM evaluations, and monitoring production traces in one

PostHog is product analytics with session replay, feature flags, error tracking, and a context warehouse for you and your AI agents.

Braintrust is an agent observability platform that traces AI runs, scores quality with evals, and surfaces production failure patterns.

Langfuse Prompt Experiments links LLM tracing, prompt versioning, and evaluators so you can test prompts against real production data.

Open-source agent observability that auto-captures every LLM and tool call and flags failures you never wrote a detector for.

Metoro is a Kubernetes observability and AI SRE agent that watches your cluster with eBPF and opens fix PRs for production issues.

Voice AI QA and evals: simulate callers before launch, then score every production call on 500+ audio-native metrics.

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

Arize Phoenix is open-source LLM observability: trace agent steps, run evals, and self-host your traces.

Dash0 is OpenTelemetry-native observability where Agent0 investigates incidents, finds root cause, and opens fix PRs.

Open-source LLM observability and agent evaluation you can trace, evaluate, and self-host for free.

Silico is Goodfire's interpretability agent for understanding and debugging the internals of your AI models.

LangSmith is agent and LLM observability: trace, monitor, and evaluate AI agents in cloud, BYOC, or self-hosted.

TruLens traces AI agent runs with OpenTelemetry-native evals, showing where an agent fails and where you can cut cost.

ToolSpend tracks AI API spend across OpenAI, Anthropic, Google AI, Bedrock and Azure in one live cost dashboard.

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

Open-source AI coworker workspace that builds, schedules and ships agents to Slack or Telegram

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

Open-source Python framework that replaces vibe checks with reproducible evaluation loops for RAG pipelines and AI agents.

Open-source AI observability for agent tracing, LLM-as-a-judge evals, and coding-agent cost tracking.

Pre-trained finance AI models and API infrastructure for banks, insurers, and lenders, moving into agentic workflow orchestration.

Developer observability platform that traces, replays, and debugs AI agent runs across OpenAI, CrewAI, Autogen and 400+ LLMs

NannyML estimates your ML model's live performance without ground-truth labels and alerts you only when it actually matters