--- title: "agentwatch vs openlit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cyberark-agentwatch-vs-openlit-openlit" tools: ["cyberark-agentwatch", "openlit-openlit"] --- # agentwatch vs openlit *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick openlit if openLIT is an open-source observability and evaluation platform for AI and coding agents, leveraging OpenTelemetry for tracking performance and costs. [agentwatch](https://www.cyberark.com) reports 125 GitHub stars, 11 forks, and 0 open issues, last pushed May 14, 2025. [openlit](https://docs.openlit.io) has 2.8k stars, 390 forks, and 77 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [agentwatch's repository](https://github.com/cyberark/agentwatch) and [openlit's repository](https://github.com/openlit/openlit). | | [agentwatch](/tools/cyberark-agentwatch.md) | [openlit](/tools/openlit-openlit.md) | | --- | --- | --- | | Tagline | A powerful AI observability framework for monitoring and optimizing AI-driven applications. | Open-source observability & evaluation platform for AI agents and coding agents | | Stars | 125 | 2,770 | | Forks | 11 | 390 | | Open issues | 0 | 77 | | Language | Python | TypeScript | | Adopt for | Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. | OpenLIT is an open-source observability and evaluation platform for AI and coding agents, leveraging OpenTelemetry for tracking performance and costs. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentwatch](/tools/cyberark-agentwatch.md) | [openlit](/tools/openlit-openlit.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 483d | 0d | | Open issues (now) | 0 | 77 | | Stars delta | +3 (30d) | +106 (30d) | | Open issues delta | 0 (30d) | +29 (30d) | | Full report | [trust report](/tools/cyberark-agentwatch/trust.md) | [trust report](/tools/openlit-openlit/trust.md) | ## Shared compatibility - **Python**: [agentwatch](/tools/cyberark-agentwatch.md) - Python runtime; [openlit](/tools/openlit-openlit.md) - Python runtime ## Decision facts: agentwatch - **Adopt for:** Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. ## Decision facts: openlit - **Pricing:** freemium - OpenLIT is free and open-source under the Apache License 2.0. - **Requirements:** Installation is available via pip for Python and npm for TypeScript. - **Adopt for:** OpenLIT is an open-source observability and evaluation platform for AI and coding agents, leveraging OpenTelemetry for tracking performance and costs. - **License detail:** Apache-2.0 ## Choose when ### Choose agentwatch if… - agentwatch is primarily Python; openlit is TypeScript. - Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models. - Also covers AI Agents. - When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models ### Choose openlit if… - openlit is primarily TypeScript; agentwatch is Python. - Pricing: OpenLIT is free and open-source under the Apache License 2.0.. - Requirements: Installation is available via pip for Python and npm for TypeScript.. - Tags unique to openlit: ai-engineering, ai-evaluation, ai-observability, ai-observability-platform. - openlit ships Docker support for self-hosted deployment. - When you need to track and evaluate the performance and costs of AI and coding agents using OpenTelemetry. ## When NOT to use agentwatch - For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations - When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ## When NOT to use openlit - If your project does not require observability and evaluation features for AI and coding agents. - When you prefer proprietary tools over open-source solutions. - If your project does not involve AI applications or does not need detailed cost tracking across multiple dimensions. ## Common questions ### What is the difference between agentwatch and openlit? agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. openlit: Open-source observability & evaluation platform for AI agents and coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentwatch over openlit? Choose agentwatch over openlit when agentwatch is primarily Python; openlit is TypeScript; Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models; Also covers AI Agents; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models. ### When should I choose openlit over agentwatch? Choose openlit over agentwatch when openlit is primarily TypeScript; agentwatch is Python; Pricing: OpenLIT is free and open-source under the Apache License 2.0.; Requirements: Installation is available via pip for Python and npm for TypeScript.; Tags unique to openlit: ai-engineering, ai-evaluation, ai-observability, ai-observability-platform; openlit ships Docker support for self-hosted deployment; When you need to track and evaluate the performance and costs of AI and coding agents using OpenTelemetry. ### When should I avoid agentwatch? For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ### When should I avoid openlit? If your project does not require observability and evaluation features for AI and coding agents. When you prefer proprietary tools over open-source solutions. If your project does not involve AI applications or does not need detailed cost tracking across multiple dimensions. ### Is agentwatch or openlit more popular on GitHub? openlit has more GitHub stars (2,770 vs 125). Stars measure visibility, not whether either tool fits your constraints. ### Are agentwatch and openlit open source? Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, openlit: Apache-2.0). ### Where can I find alternatives to agentwatch or openlit? GraphCanon lists graph-backed alternatives at [agentwatch alternatives](/tools/cyberark-agentwatch/alternatives) and [openlit alternatives](/tools/openlit-openlit/alternatives) ([agentwatch markdown twin](/tools/cyberark-agentwatch/alternatives.md), [openlit markdown twin](/tools/openlit-openlit/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/cyberark-agentwatch-vs-openlit-openlit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentwatch or openlit? agentwatch: Dormant. openlit: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentwatch and openlit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentwatch trust report](/tools/cyberark-agentwatch/trust); [openlit trust report](/tools/openlit-openlit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cyberark-agentwatch`](/api/graphcanon/graph?tool=cyberark-agentwatch) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_