Alternatives to ClawTrace

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

SuperPenguin is AI spend intelligence that attributes every AI dollar to a customer, feature, team, or merged pull request.

Athina is a shared workspace where your team writes prompts, runs evals, annotates datasets, and traces LLM calls in production.

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

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

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

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.

Weights & Biases tracks ML experiments, versions models and datasets, and traces LLM apps — now inside CoreWeave Forge

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

Token Monitor tracks AI coding token usage, cost, and quota limits across 44+ tools in one free desktop widget.

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

PandaProbe is open-source agent observability that traces runs, evaluates outcomes, and turns failures into validated fixes via its Repair