Adaptive OS is a hybrid operating system: it is both independent as a separate ecosystem and distributed to ensure security and adaptability, while still inheriting the advantages of Windows (UI/UX, system management services) and Linux (modular, root privileges, development community).
Here is a proposed structure that could realize that philosophy:
Similar to Minix/seL4 but expanded to include Adaptive AI.
| Components | Rules |
|---|---|
AdaptiveKernel |
Lightweight kernel: manages threads, memory, and IPC. |
DevicePlugin |
Drivers are in modular form and can be hot-swap. |
SecurityPlugin |
Firewall, sandbox, dynamic trust-based isolation |
AIPluginManager |
Loader & scheduler for plugin AI : meta-learning, behavior engine |
- NodeManager: Each instance of Adaptive OS is a node.
- TrustBus: Secure communication mechanism between nodes.
- BehaviorSync: Synchronizes behavioral strategies between AI instances.
- FederatedLearningPlugin: Proactive group AI training.
A layer between the kernel and user space, responsible for adapting to the environment:
+----------------------+
| Self-Adaptive API | ← interface for meta-learning, policy switching
+----------------------+
| Monitoring Agents | ← sensing, trust analyzer, resource auditor
| Reasoning Engine | ← context-aware + logic defuzzifier
| Repair Controller | ← fix bugs, rollback module
+----------------------+
/adaptive/
│
├── /core/ # Kernel-level AI plugins
├── /context/ # context data
├── /human_feedback/ # Feedback and simuluate human-in-loop
├── /trust_profiles/ # trust agent/human
├── /ai_plugins/ # plugin AI
├── /recovery/
├── /sandbox/ # Testing (low-trust)
└── /apps/ # Application that runs in Adaptive OS.
-
There is no separation between AI and user applications. Every application is either an AI agent or managed by an AI Supervisor.
-
AI Supervisor: monitors system behavior, assesses trust, and makes control decisions.
-
AgentStore: similar to AppStore, but each "app" is an AI plugin that can be trained or deployed according to the environment.
-
TrustScoreManager: Calculates trust scores for each process, service, and user.
-
Adaptive Defense Module: Automatically switches to "defense mode" if anomalies are detected (inspired by Trust-based Self-Defense).
-
HumanPolicyLayer: Allows good users to interact with the AI (but is limited if trust is low).
-
Based on Linux (modified kernel, private distro) but completely hides the original userland.
-
Write a kernel module to emulate the AdaptiveKernel.
-
Plugins are attached as .so files or dynamic load modules.
-
Combine with middleware (ZeroMQ, gRPC, WebAssembly if portability is required).
+----------------------+
| Self-Adaptive API | ← interface for meta-learning, policy switching
+----------------------+
| Monitoring Agents | ← sensing, trust analyzer, resource auditor
| Rplaintext
AdaptiveOS/
├── microkernel/ # Microkernel core
│ ├── src/ # kernel source code
│ │ ├── core.c # Manage process
│ │ ├── ipc.c # Inter-Process Communication (message passing)
│ │ └── scheduler.c # scheduler
│ └── Makefile # Implement kernel
├── modules/ # Single module
│ ├── adaptive_ai/ # Module Adaptive AI
│ │ ├── src/ # source code
│ │ │ ├── ai_core.cpp # Logic of Adaptive AI
│ │ │ ├── meta_learn.cpp # Meta-learning
│ │ │ └── hitl_interface.cpp # Interface of HITL
│ │ └── Makefile
│ ├── networking/ # Module network
│ │ ├── src/
│ │ │ └── netfilter.c # analyze packets
│ │ └── Makefile
│ └── filesystem/ # Module file system
│ ├── src/
│ │ └── vfs.c # Virtual File System
│ └── Makefile
├── user_space/ # Tools for user-space
│ ├── src/
│ │ ├── main.c # main program
│ │ └── hitl_ui.c # Interface for HITL
│ └── Makefile
├── plugins/ # decentralized plugins.
│ ├── src/
│ │ ├── plugin_server.c # Server received message from modules
│ │ └── plugin_client.c # Client send message
│ └── Makefile
└── docs/ # Documentation.
└── README.md
git clone <link>.gitGeneral Public License (GPL-3.0) - see on LICENSE