Alternatives to SwarmTrace

LangSmith agent observability: trace, monitor, and evaluate every LLM run with SmithDB-backed trace search.

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

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

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

Free agent leaderboard ranking LLMs on planning, tool use, and multi-step agentic tasks

Open-source benchmark that scores AI agents on real, multi-step software-company work tasks.

AppWorld benchmarks coding agents on 750 multi-app tasks across 457 APIs in a simulated world.

VisualWebArena is a 910-task benchmark from Carnegie Mellon that scores multimodal browser agents on whether they actually complete visual web tasks.

Open-source LLM observability and agent evals: trace, evaluate, and improve AI agents on one MIT-licensed platform

Simulate, evaluate and monitor voice and chat AI agents before they talk to real customers

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

Open-source LLMOps platform for tracing, agent simulations, evaluations and an AI gateway, from your own agents to the coding agents your engineers run.

Comet's Opik turns LLM observability and evaluation into agent code fixes, not just trace dashboards

Open source LLM observability with OpenTelemetry tracing, evals, and prompt management for agents

Maxim AI pairs AI agent evaluation, simulation and observability with Bifrost, an open-source LLM gateway.

Braintrust delivers agent observability with evals, pattern discovery, and trace-scale storage in one platform.

Respan's LLM gateway routes every agent run through one endpoint, then traces, monitors and evaluates it.

Automated QA for voice AI agents: simulate calls, monitor live drift, and auto-patch prompts.

Multi-model AI verification: three frontier models answer blind, cross-examine each other, and return the one answer that survived with a

Fiddler AI is an AI agent observability and control plane with inline guardrails, continuous evaluation, and auditable governance.

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

Synth runs hosted coding-agent evals and optimizer loops with cited, reproducible research behind every result.

TraceRoot turns AI agent failures in production into root-cause signals and verified fixes via your coding agent.

Galileo turns pre-launch AI evals into production guardrails that block bad agent and RAG responses at runtime.

Retrace delivers AI agent observability with execution replay: record every run, fork the failing step, and prove your fix before shipping.

Agent observability with Signals: Laminar surfaces agent failures you never had to define.

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

Arena AI ranks chat and coding models on live human votes and real agent sessions — test before you buy.

OpenTelemetry-native tracing and benchmarked LLM-judge evals for AI agents and RAG apps.

PromptLayer is the collaboration layer for AI engineering teams — a prompt CMS, eval harness, and agent observability stack in one dashboard.