Alternatives to LangSmith

Free local observability for AI coding agents — tokens, cost & traces on your machine.

Turn plain English into production-ready Honeycomb queries for faster debugging.

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

Open-source LLM agent observability with tracing, evals, and experiments

OpenTelemetry-native observability with AI SRE Agent0 for automated production insight.

Open-source AI agent tracing and LLM-as-judge evaluation platform for debugging and improving agent quality.

Open-source LLM observability for tracing, evaluating, and optimizing AI agents end-to-end.

AI observability and evals that auto-fix agent code via git

Open-source OpenTelemetry observability for Python LLM apps

Enterprise LLM evaluation, observability, and red teaming in one platform.

OpenTelemetry-native open-source AI agent evaluation and tracing

Enterprise AI control plane for observability, guardrails, and governance of agentic AI.

Open-source framework to replace vibe checks with reproducible, LLM-driven evaluation loops for RAG and agents.

Free, open-source AI observability and evals for debugging agents

Trace, debug, and deploy reliable AI agents with full observability

Active observability for AI agents: trace, evaluate, and discover patterns at scale.

AI gateway and LLM observability platform for routing, debugging, and analyzing AI apps

AI agent observability that detects and auto-fixes silent failures in production.

Interactive coding agent benchmark simulating 9 apps and 457 APIs to evaluate agent reliability.

Pre-built AI models for finance, from fraud detection to agentic workflow orchestration.

AI observability and eval engineering platform that turns offline evals into production guardrails.

Community-driven leaderboard for comparing AI models, agents, and code through real human votes.

Open source platform to debug, evaluate, monitor, and optimize AI agents and ML models.

Simulation-based AI agent testing that catches hallucinations before production

Open-source AI observability for privacy-preserving logging and LLM security

Open-source workspace to build, evaluate, and deploy AI agents through chat

Open-source TypeScript framework for building durable, observable AI agents and workflows.

Simulate, evaluate, and observe AI agents—ship reliable agents 5x faster with Maxim.

AI observability and eval engineering platform that turns offline evals into production guardrails.

Open-source LLM & VLM evaluation platform for standardized benchmarking