AgentOps vs OpenLIT
AgentOps
agentops.aiOpenLIT
openlit.ioSide by side
| Figure | AgentOps | OpenLIT |
|---|---|---|
| Price from | $40/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · LLM Observability Tools | 9.3 (#1) | 8.5 (#10) |
| Spec score · AI Agent Observability Tools | 9.3 (#2) | 8.5 (#9) |
| Spec score · Llm Monitoring | 9.2 (#2) | 8.4 (#11) |
| Company size | LinkedIn lists Agency as a privately held software-development company with 11–50 employees. | Crunchbase lists the company size as 1–10 employees. |
| Licence | The AgentOps application and repository are released under the MIT licence. | The project is licensed under Apache License 2.0. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 5.0 out of 5 from 1 review. |
| SDKs | The documentation says AgentOps is available for Python and TypeScript/JavaScript applications. | Official SDKs are available for Python, TypeScript and Go; Python installs with pip and TypeScript with npm. |
| 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. | Docker Compose runs the UI on port 3000, OTLP receivers on ports 4317 and 4318, and ClickHouse for traces, metrics and logs; Kubernetes Helm deployment is also documented. |
| Support | Pro includes dedicated Slack and email support, while Enterprise adds SLA and Slack Connect. | The OSS plan includes community support on GitHub. |
| What it does | AgentOps is a developer platform for tracing, debugging and deploying AI agents and LLM applications. | OpenLIT is an OpenTelemetry-native platform for tracing, evaluating, guarding and improving AI agents and coding agents. |
Plans
In their own words
OpenLIT
OpenLIT is an open-source platform for tracing and evaluating LLM activity, managing prompts, and tracking costs. Built on OpenTelemetry, it can capture model calls, tool use, and retrievals, with filters for user, session, cost, latency, and metadata. Evaluations can use an LLM judge, heuristics, or human review on production traffic or experiments. Prompt Hub provides versioning, dynamic variables, API retrieval, unlimited prompt fetching, and AI-assisted improvement. OpenGround supports side-by-side model comparisons for latency, tokens, and cost, including comparisons using a user’s own key. Coding agent monitoring covers sessions, costs, tokens, repository activity, and code impact. The site lists more than 56 integrations across LLMs, agent frameworks, vector databases, and GPUs. OpenLIT accepts OTLP data and can be self-hosted with Docker Compose or Kubernetes Helm. Its Apache 2.0 license and site description note that self-hosting keeps prompts, traces, and secrets in the user’s environment. The OSS plan costs nothing and includes unlimited self-hosted usage, users, projects, and environments.