AgentOps vs LangWatch
AgentOps
agentops.ai
LangWatch
langwatch.aiSide by side
| Figure | AgentOps | LangWatch |
|---|---|---|
| Price from | $40/mo | €29/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · LLM Observability Tools | 9.3 (#1) | 9.0 (#6) |
| Spec score · AI Agent Observability Tools | 9.3 (#2) | 9.1 (#5) |
| Spec score · Llm Monitoring | 9.2 (#2) | 8.9 (#7) |
| Company size | LinkedIn lists Agency as a privately held software-development company with 11–50 employees. | LinkedIn lists the company size as 11–50 employees. |
| Documentation | Documentation includes quickstarts, integration guides, examples and self-hosting instructions. | Documentation covers introduction, integrations, CLI, MCP, agent testing, observability, evaluations, datasets, prompt management, self-hosting and API reference. |
| Framework integrations | The SDK integrates with CrewAI, AG2/AutoGen, Agno, LangGraph, OpenAI Agents SDK and other agent frameworks. | Framework support includes OpenAI Agents, LangGraph, LangChain, CrewAI, Pydantic AI, Agno, Mastra, Vercel AI SDK, Google ADK, LangFlow and Flowise. |
| Headquarters | Delray Beach, Florida, United States | Amsterdam |
| Intended users | The site presents AgentOps for engineers building AI agents and offers help to teams building and scaling enterprise-grade agents. | The company says the platform is for AI teams shipping agents and describes evaluation workflows for developers, product owners, QA, and domain experts. |
| Licence | The AgentOps application and repository are released under the MIT licence. | The core platform is Apache 2.0; enterprise modules require a commercial production licence and the SDKs are MIT licensed. |
| Product | AgentOps describes itself as a developer platform for building AI agents and LLM apps, with observability for OpenAI, CrewAI, AutoGen, and 400+ LLMs and frameworks. | LangWatch describes itself as an AI agent engineering platform for helping teams ship reliable agents to production. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 0.0 out of 5 from 0 reviews |
| Self-hosting | The repository documents running the full dashboard and API backend on a user's own machine, while the enterprise plan lists AWS, GCP and Azure self-hosting. | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. |
| Support | Pro includes dedicated Slack and email support, while Enterprise adds SLA and Slack Connect. | Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support. |
| What it does | AgentOps is a developer platform for tracing, debugging and deploying AI agents and LLM applications. | LangWatch is an AI-agent engineering platform for testing, evaluating, observing, governing and improving agents across development and production. |
Plans
In their own words
LangWatch
LangWatch is an AI agent engineering platform for teams preparing agents for production. Simulations cover multi-turn conversations, tool use, recovery, and business outcomes before launch. Evaluations can run on datasets, production traffic, or in CI/CD workflows that gate merges. Traces show agent steps alongside cost, tokens, duration, errors, evaluations, and annotations. Integrations include Python and TypeScript SDKs, OpenTelemetry, REST ingestion, model providers, and frameworks such as LangGraph, LangChain, CrewAI, and DSPy. Voice-agent testing supports OpenAI Realtime, Gemini, ElevenLabs, Google Live API, Pipecat, WebSocket bots, and Twilio. Deployment options are managed cloud, self-hosted, and hybrid; self-hosting uses Docker Compose and the customer’s ClickHouse. LangWatch is open source under Apache 2.0. The Developer plan costs nothing and includes 50k events per month, 14-day data access, and two users. Growth costs €29 a month per core seat and includes 200k events. The trust center lists encryption, access controls, privacy features, and enterprise DPAs.