{"slug": "cortexbrain-a-monitoring-pipeline-that-integrates-with-your-ai-agents", "title": "CortexBrain: A monitoring pipeline that integrates with your AI agents", "summary": "CortexBrain, an open-source monitoring platform for distributed cloud and hybrid cloud-edge workflows, integrates eBPF to provide kernel-level insights and network observability without sidecar overhead. The project, written in Rust and eBPF, is developed by Tettamanti Lorenzo and Lorenzo Bradanini and is currently in development stages with experimental features including GPU observability and AI integrations. The latest version of the cortexflow-agent component is 0.1.2, available via ghcr.io/cortexflow/identity:0.1.2.", "body_md": "**Enabling developers to effectively monitor and analyze distributed applications for rapid and efficient problem solving**\n\n*Written in Rust and eBPF for low-overhead and high-performance*\n\n-\n**Tettamanti Lorenzo**[📧 lorenzotettamanti5@gmail.com](mailto:lorenzotettamanti5@gmail.com) -\n**Lorenzo Bradanini**[📧 lorenzolollobrada@gmail.com](mailto:lorenzolollobrada@gmail.com)\n\n**CortexBrain** is an ambitious open-source project designed to build an intelligent, lightweight, and highly efficient monitoring platform for distributed cloud and hybrid (cloud–edge) workflows.\nBy leveraging the power of eBPF, CortexBrain can successfully manage **networking** and **observability** in a distributed cluster, limiting resource waste and improving overall performance.\n\nComprehensive information about CortexBrain’s core architecture, installation, and practical applications is available in the [Official Documentation](http://docs.cortexflow.org/getting-started/quickstart/) and on the [CortexFlow blog](https://blog.cortexflow.org/).\n\n-\n**🔎 Deeper Insights**: CortexBrain integrates eBPF to produce deeper kernel-level insights of your system without modifying your application code -\n**🚁 No sidecar overhead:** Sidecarless architecture that eliminates additional CPU and memory overhead associated with sidecar proxies -\n**🔒 Safety:** The linux**BPF Verifier** ensures that all the programs are safe to run.A**JIT** compiler converts bytecode into native CPU instructions for optimal execution efficiency. CortexBrain can trace network traffic such as**ingress**(incoming) TCP/UDP connections and apply policies directly at** kernel level**by attaching the programs in different hooks such as TC (traffic control) and XDP hooks. All the intercepted events are successfully propagated in the**user space** thanks to BPF maps and dedicated data structures.\n\nOur current development efforts are dedicated to the following key features:\n\n-\n**🧪[Experimental] GPU Observability**: Introducing GPU tracing and monitoring capabilities to efficiently support AI/ML applications -\n**🤖 Extending AI integrations**- Extending the current MCP server to seamlessly integrate with coding agent platforms and enable AI-assisted system analysis -\n**🚁 Simplify the pipeline**- Simplify the monitoring pipeline to reduce the overall overhead and reduce points of failures -\n**📡 [Experimental] Cloud-Edge Multi-Cluster Integration:** Extending observability accross hybrid cloud and edge environments\n\n| Component | Version | Image | Status |\n|---|---|---|---|\n| cortexflow-agent | 0.1.2/latest |\n|\n\n[ghcr.io/cortexflow/identity:0.1.2](https://github.com/CortexFlow/CortexBrain/pkgs/container/identity)[ghcr.io/cortexflow/metrics:0.1.0](https://github.com/CortexFlow/CortexBrain/pkgs/container/metrics)[Architecture](http://docs.cortexflow.org/developer-guide/architecture/#kernel-hooks): Latest version architecture overview[Quickstart](http://docs.cortexflow.org/getting-started/quickstart/): Quickstart guide[Developer Guide](http://docs.cortexflow.org/developer-guide/): Full developer guide[Common Issues](http://docs.cortexflow.org/getting-started/quickstart/#common-issues-while-using-ebpf-in-a-local-setup): Common documented issues encountered while programming with the eBPF framework[MCP server](http://docs.cortexflow.org/developer-guide/mcp-server/): Architecture, building and configuration with opencode[CLI](http://docs.cortexflow.org/cfcli/overview/): Full CLI documentation covering setup and commands\n\n⚠️ CortexBrain is still in its development stages, so you can expect some bugs. Contributions and feedback are highly appreciated to help improve the project!\n\nCortexBrain provides a simple installation for users thanks to his command line interface. You can find the installation guide in the [official documentation](https://docs.cortexflow.org)\n\n```\ncargo install cortexflow-cli\ncfcli install cortexflow\ncfcli service list\n```\n\nDo you think the project is missing something? Contributing is the best way to show your skills and leave your mark on a project.\nIf you know DevOps/Kubernetes, networking, security, or you just enjoy maintaining a repository, please write an email to [lorenzotettamanti5@gmail.com](mailto:lorenzotettamanti5@gmail.com)\n\nRole |\nSkills |\nTasks |\nRelated Issues and Milestones |\n|---|---|---|---|\nCortexBrain Core Developer |\n- Kubernetes - Networks - Rust programming language |\n- Help us to build and optimize the core functionalities (Client,DNS,Proxy,Telemetry,etc..) |\n-\n-\n-\n|\n\n**General Mantainers**- Practical organition\n\n- Documentation\n\n- Write/Update documentation\n\n- Spot typos in the repository\n\n[Documentation](https://github.com/CortexFlow/CortexBrain/labels/documentation)-\n\n[question](https://github.com/CortexFlow/CortexBrain/labels/question)**Code Reviewers/Testers**- Kubernetes\n\n- Docker\n\n- Write tests for CI/CD\n\n[Code refactoring](https://github.com/CortexFlow/CortexBrain/labels/code%20refactoring)We welcome contributions from the community! To contribute to the project, please follow these steps:\n\n- Fork the repository.\n- Check out\n[Developer guide](http://docs.cortexflow.org/developer-guide/) - Create a new branch for your feature (\n`git checkout -b feature/feature-name`\n\n). - Submit a Pull Request with a detailed explanation of your changes.\n\nIf you would like to contribute a new feature, we ask you to open a discussion before submitting a PR. This is to ensure that all new features align with the project's goals and to avoid overlapping work or conflicting views.\n\nPlease initiate a discussion in the [GitHub Discussions](https://github.com/CortexFlow/CortexBrain/discussions) section where we can collectively review, refine, and approve your idea before you begin implementation. Pull Requests for new features that have not been discussed beforehand may be declined to maintain project coherence and ensure alignment with the broader roadmap.\n\nBy collaborating in this manner, we can maintain clarity and consistency, ensuring that all contributors are working towards the same objectives. Thank you for your understanding and contributions!\n\nWe accept Pull Requests containing AI-generated code, subject to certain conditions. First of all, make sure the new functionalities are well documented; secondly, prove that you can understand and explain the idea behind the code you have submitted. We don't discourage the use of AI to help make new updates; we just want to make sure that there was a clear human thinking process behind the code you submit.\n\nThe codebase is entirely written by humans, and the AI is used to flatten the knowledge gap required to fully understand the Linux kernel codebase- things like: where is this tracepoint located? Or what is the offset for the tgid field in this kernel structure?. We used AI-assisted development to speed up the building of the backbones of the documentation, but all the sections were carefully reviewed by humans. The illustration of the [architecture](/CortexFlow/CortexBrain/blob/main/Doc/docs/assets/cf-new-architecture-readme.png) was enhanced with AI, this is the [version](/CortexFlow/CortexBrain/blob/main/Doc/docs/assets/cf-architecture-0.1.5.png) we submitted to the AI agent", "url": "https://wpnews.pro/news/cortexbrain-a-monitoring-pipeline-that-integrates-with-your-ai-agents", "canonical_source": "https://github.com/CortexFlow/CortexBrain", "published_at": "2026-08-11 07:37:15+00:00", "updated_at": "2026-08-11 08:11:11.443148+00:00", "lang": "en", "topics": ["ai-infrastructure", "developer-tools", "ai-agents"], "entities": ["CortexBrain", "CortexFlow", "Tettamanti Lorenzo", "Lorenzo Bradanini", "eBPF", "Rust", "MCP server", "cortexflow-agent"], "alternates": {"html": "https://wpnews.pro/news/cortexbrain-a-monitoring-pipeline-that-integrates-with-your-ai-agents", "markdown": "https://wpnews.pro/news/cortexbrain-a-monitoring-pipeline-that-integrates-with-your-ai-agents.md", "text": "https://wpnews.pro/news/cortexbrain-a-monitoring-pipeline-that-integrates-with-your-ai-agents.txt", "jsonld": "https://wpnews.pro/news/cortexbrain-a-monitoring-pipeline-that-integrates-with-your-ai-agents.jsonld"}}