Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
LangWatch records 52,098 monthly visits with +73% month-over-month growth and Contact for Pricing pricing. OpenLIT records 6,028 monthly visits with -18.3% growth and Free pricing.

Open-source, OpenTelemetry-native observability and harness engineering for AI agents
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | langwatch.ai | openlit.io |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 52.1K (52,098) | 6.03K (6,028) |
| MoM Traffic Delta | +21.98K (+73%) | -1.35K (-18.3%) |
| Primary Market & Share | 🇺🇸 United States (46.7%) | 🇺🇸 United States (53.6%) |
| Direct Visits / mo | 28.99K | 2.38K |
| User Rating | 4.6 | 4.7 |
| Supported Platforms | Website | Website |

Agent observability, evals and governance for AI platform teams
Full GenAI spec support means traces from LangChain, LangGraph, CrewAI, Mastra, Pydantic AI, the Vercel AI SDK and any OTel-compatible stack land in the same view, with tokens, cost and cache accounted per span.
Score single outputs or entire conversations with an LLM judge, custom code or a workflow, run evals from a notebook or UI, and evaluate live production traffic in real time.
Simulated text and voice users push agents turn after turn in realistic scenarios, runnable locally and in CI, with tools, skills and MCP servers traced and mockable.
Route OpenAI, Anthropic, Google, Bedrock, Mistral and other providers through one endpoint using your own keys, with budgets per person, team and customer and around 11 microseconds of overhead.

Open-source, OpenTelemetry-native observability and harness engineering for AI agents
Capture OpenTelemetry traces and metrics for every LLM call, tool invocation, retrieval, and agent step, and filter them by user, session, cost, latency, or custom metadata.
Score production traffic or experiments with LLM-as-a-judge, heuristic checks, or human review so you can measure accuracy, relevance, and safety over time.
Manage and version prompts in Prompt Hub, then deploy, roll back, and update prompts without shipping new application code.
Store and rotate OpenAI, Anthropic, and other LLM API keys outside your codebase with an encrypted, rotating secrets vault.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

Free / Open-sourceOne open-source AI gateway for 100+ LLM providers

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
AI gateway, observability and guardrails for production LLM apps

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Free / Open-sourceOpen-source AI gateway with observability and evals built in
Free / Open-sourceOpen-source AI gateway with observability and evals built in

The collaboration layer for AI engineering teams
The collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceOpen-source LLM observability and AI gateway for shipping reliable AI apps
Free / Open-sourceOpen-source LLM observability and AI gateway for shipping reliable AI apps
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
Free / Open-sourceAI governance, testing, and observability for regulated enterprises

Observe, evaluate and monitor AI agents in production
Observe, evaluate and monitor AI agents in production