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+# MLSysOps Framework
+
+The *MLSysOps Framework* is the open‑source outcome of the EU‑funded MLSysOps
+Horizon Europe project (Grant ID 101092912), running from Jan 2023 to Dec 2025.
+Its aim is to deliver an AI‑enabled, agent‑based platform for autonomic,
+cross‑layer management of compute, storage, and network resources across cloud,
+edge, and IoT environments.
+
+## Key Objectives
+
+- Provide an *open, AI‑ready framework* for scalable, trustworthy,
+  explainable system operation across heterogeneous infrastructures.
+- Enable *continual ML learning* and retraining during runtime via
+  hierarchical agents.
+- Support *portable, efficient execution* using container innovation and
+  modular, FaaS-inspired offloading.
+- Promote *green, resource‑efficient, and secure operations* while
+  maintaining `QoS`/`QoE` targets.
+- Facilitate realistic evaluation using real-world deployments in smart‑city
+  and precision‑agriculture scenarios.
+
+## Core Components
+
+- Hierarchical Agent Architecture: Interfaces with orchestration/control
+  systems and exposes an ML‑model API for plug‑and‑play explainable/re-trainable
+  models.
+
+- Telemetry & Control Knobs: Collects metrics across the continuum and adjusts
+  configuration (e.g., compute, network, storage, accelerator usage)
+  dynamically.
+
+- Distributed FaaS‑style Executor: Enables function offloading across tiers to
+  optimize latency, energy, and performance.
+
+- Explainable ML & Reinforcement Learning Module: Offers transparent decisions,
+  highlighting input factors influencing agent actions.
+
+- Use-cases: Includes real applications focusing on smart cities and agriculture.
+
+## Repository Contents
+
+| Directory | Description |
+|----------|-------------|
+| `agents/` | Core autonomic agents with policy-based plugins and ML/analytics |
+| `orchestrators/` | Scripts to facilitate testbed setup |
+| `mlsysops-cli/` | Tool to manage MLSysOps-related descriptors (agents, applications, etc.)|
+| `northbound-api/` | Glue API from the CLI to the core Agent framework|
+| `docs/` | Internal and public-facing documentation |
+
+## Getting Started
+
+### Prerequisites
+
+- Kubernetes v1.26+
+- `kubectl`, `karmada`
+- Python 3.10+
+- Access to a 4-node testbed environment
+
+### Quick Start
+
+Install the CLI tool:
+
+```bash
+pip install mlsysops-cli
+```
+
+Given an `ansible` inventory to setup 4 nodes in `inv.yml`, you can deploy the framework:
+
+```bash
+mls framework deploy-all --inventory inv.yml
+```
+
+Create and deploy an example application:
+
+```bash
+mls framework create-app-test-description
+mls apps deploy-app --path mlsysops-app-test-description.yaml
+```
+
+See docs/ for detailed component setup guides.
+
+## Documentation
+
+Check the full documentation at [docs.mlsysops.eu](https://docs.mlsysops.eu)
+
+## Contributing
+
+We welcome contributions from the community!
+
+Browse [good first issues](https://github.com/mlsysops-eu/mlsysops-framework/issues?q=is%3Aissue%20state%3Aopen%20label%3Agood-first-issue)
+
+Review our [CONTRIBUTING.md](https://docs.mlsysops.eu/developer-guide/contribute/)
+
+Follow our [CODE_OF_CONDUCT.md](https://github.com/mlsysops-eu/mlsysops-framework/blob/main/docs/developer-guide/Code-of-Conduct.md)
+
+## License
+
+This project is licensed under the Apache 2.0 License.
+
+## Acknowledgements
+
+This framework is developed as part of the Horizon Europe MLSysOps Project
+(Grant ID 101092912), coordinated by the University of Thessaly, with
+contributions from 12 European partners across academia and industry.
+
+Learn more at [mlsysops.eu](https://mlsysops.eu)