{"data":{"slug":"cyberark-agentwatch","name":"agentwatch","tagline":"A powerful AI observability framework for monitoring and optimizing AI-driven applications.","github_url":"https://github.com/cyberark/agentwatch","owner":"cyberark","repo":"agentwatch","owner_avatar_url":"https://avatars.githubusercontent.com/u/30869256?v=4","primary_language":"Python","stars":125,"forks":11,"topics":["agent","agentic","agentic-ai","ai","cybersecurity","large-language-models","llm","llm-framework","llm-observability","llm-tools","machine-learning","monitoring","observability","security"],"archived":false,"github_pushed_at":"2025-05-14T06:19:06+00:00","maintenance_label":"Dormant","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/cyberark-agentwatch","markdown_url":"https://www.graphcanon.com/tools/cyberark-agentwatch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cyberark-agentwatch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cyberark-agentwatch","description":"A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers to monitor, analyze, and optimize AI-driven applications with minimal integration effort.","homepage_url":"https://www.cyberark.com","license":"Apache-2.0","open_issues":0,"watchers":2,"ai_summary":"Agentwatch offers comprehensive insights into agent interactions, facilitating easy monitoring and analysis of cybersecurity and large language model operations through an intuitive user interface.","readme_excerpt":"## 🔧 Installation\n\nInstall agentwatch directly from GitHub:\n\n```bash\npip install git+https://github.com/cyberark/agentwatch.git\n```\n\n---\n\n## 🖥️ Quick Start\n\n1. Import agentwatch in your main module:\n   ```python\n   import agentwatch\n   ```\n\n2. Ensure your entry point is within a `__main__` block:\n   ```python\n   if __name__ == \"__main__\":\n       # Your code execution starts here\n   ```\n\n3. Launch the UI:\n   ```bash\n   agentwatch ui\n   # (Take note this will open a new tab in your browser)\n   ```\n\nRun your main module - and AI agent interactions will now be automatically tracked and monitored in the UI!\n\n---\n\n## 📄 License\n\nagentwatch is released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).","github_created_at":"2025-03-26T10:01:05+00:00","created_at":"2026-07-15T10:41:22.886251+00:00","updated_at":"2026-09-20T04:25:28.340385+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"agentic-ai","name":"agentic-ai"},{"slug":"cybersecurity","name":"cybersecurity"},{"slug":"large-language-models","name":"large-language-models"},{"slug":"llm-observability","name":"llm-observability"},{"slug":"machine-learning","name":"machine-learning"}],"trust":{"provenance":{"is_fork":false,"github_id":955225139,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-10T06:00:52.196Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":483,"last_release_at":null,"stars_delta_30d":3,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:41:24.275Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-10T06:00:52.889Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-10T06:00:52.889Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-10T06:00:52.889Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-10T06:00:52.889Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models","If you need a tool that offers easy integration to track agent interactions across various platforms with minimal effort"],"when_not_to_use":["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"],"source":"enrich:decision_facts","observed_at":"2026-07-16T20:14:32.181Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions."}]}}