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The Experimental AI Microkernel OS

Project description

FyodorOS

PyPI version Python 3.8+ License: MIT

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          The Experimental AI Microkernel

FyodorOS is a simulated operating system designed from the ground up for Autonomous AI Agents. Unlike traditional OSs designed for humans (GUI/CLI) or servers (API), FyodorOS exposes the entire system state as a Document Object Model (DOM), allowing Agents to "perceive" and interact with the kernel natively.

🚀 Vision

We believe that for AI Agents to be truly useful and safe, they need an environment built for them. FyodorOS provides:

  • Structured Observation: The OS state (Filesystem, Processes, Users) is a queryable DOM tree.
  • Cognitive Loop: Built-in ReAct (Reasoning + Acting) loop at the kernel level.
  • Safety Sandbox: A strict, rule-based verification layer that constraints Agent actions before execution.
  • Agent-Native Apps: Standard tools (browser, explorer, calc) that return structured JSON/DOM instead of plain text, minimizing token usage and parsing errors.

📝 What's New

[0.4.0] - Latest Release

Kernel Networking Layer

The kernel now includes a complete networking layer with fine-grained control and security:

  • Global On/Off Switch: Control network functionality system-wide using fyodor network command
  • Strict Socket Enforcement: All socket operations are intercepted via monkeypatching and routed through the kernel layer for validation
  • RBAC Integration: Network access is controlled through role-based permissions:
    • manage_network: Permission to enable/disable network globally
    • use_network: Permission to create and use network sockets

Example - CLI Network Management:

# Enable network globally (requires manage_network permission)
fyodor network on

# Disable network globally
fyodor network off

# Check network status
fyodor network status

NASM Runtime

Execute native assembly code safely within the FyodorOS environment:

  • C++ FFI Sandbox Extension: Run NASM assembly code in a fully sandboxed environment with C++ FFI bindings
  • sys_exec_nasm Syscall: New kernel syscall enables safe execution of NASM code from user-space and agent processes

Example - Python Agent Running NASM:

from fyodoros.kernel.syscall_handler import SyscallHandler

syscall = SyscallHandler()

# Simple NASM program to add two numbers
nasm_code = """
    section .text
    global _start
    _start:
        mov eax, 5
        mov ebx, 10
        add eax, ebx
        ; Result in eax register
"""

# Execute in sandboxed NASM runtime
result = syscall.sys_exec_nasm(nasm_code)
print(f"Execution result: {result}")

Example - Agent Command:

agent "Execute this assembly code to calculate the sum: MOV EAX, 42; MOV EBX, 8; ADD EAX, EBX"

✨ Key Features

🧠 Kernel-Level Agent

The OS integrates an LLM-powered agent directly into the shell.

  • Command: agent "Research the latest news on AI"
  • Mechanism: The agent perceives the system via SystemDOM, creates a To-Do list, and executes actions in a sandboxed loop.

🌐 Agent Browser (Playwright Integration)

FyodorOS includes a specialized browser for agents.

  • DOM Tree Output: Returns a simplified, semantic JSON representation of web pages.
  • Interaction: Agents can click and type using element IDs directly.
  • Efficiency: Strips unnecessary noise (CSS/Scripts) to save context window.

🛡️ Safety Sandbox (Enhanced in v0.3.5)

Every action taken by the Agent is intercepted by the C++ reinforced AgentSandbox.

  • Virtual Filesystem: The agent is jailed in ~/.fyodor/sandbox. All paths are virtualized.
  • Path Traversal Protection: C++ layer prevents escaping the sandbox (e.g., ../../etc/passwd).
  • Process Isolation: Commands run with cleared environments and restricted paths.
  • App Whitelisting: Only authorized "Agent Apps" can be executed.

🔌 Plugins (New in v0.3.0)

FyodorOS now supports a powerful plugin system.

  • Github Integration: github - List repos, create issues, view PRs.
  • Slack Notifier: slack_notifier - Send notifications to Slack.
  • Usage Dashboard: usage_dashboard - Background system monitoring. View with fyodor dashboard.
  • Team Collaboration: team_collaboration - RBAC system extending UserManager.

Managing Plugins

fyodor plugin list
fyodor plugin activate github
fyodor plugin settings github token YOUR_TOKEN
fyodor plugin deactivate github

Developing Plugins (Polyglot Support)

FyodorOS supports Python, C++, and Node.js plugins.

Create a new plugin:

fyodor plugin create my_plugin --lang cpp

Build a plugin:

fyodor plugin build my_plugin

Install from Git:

fyodor plugin install https://github.com/user/repo

📦 Installation & Usage

  1. Clone the Repository

    git clone https://github.com/Kiy-K/FyodorOS.git
    cd fyodoros
    
  2. Install Package You can install FyodorOS as a Python package.

    Via pip (Recommended):

    pip install fyodoros
    playwright install chromium
    

    Via Conda:

    conda env create -f environment.yml
    conda activate fyodoros
    playwright install chromium
    
  3. Launch the OS

    Option A: Using the CLI (if installed)

    # 1. Setup (Configure API Keys)
    fyodor setup
    
    # 2. Start (Auto-login as Guest)
    fyodor start
    
    # 3. Interactive Login
    fyodor login
    
    # 4. Login as specific user (e.g. root)
    fyodor login --user root
    
    # 5. Create a new user
    fyodor user developer secret123
    
    # 6. Open Launcher Menu (TUI)
    fyodor tui
    

    Option B: Using Convenience Scripts

    • Windows: Double-click run.bat
    • Linux/Mac: Run ./run.sh
  4. Interact Inside the FyodorOS Shell:

    # Run a standard command
    guest@fyodoros:/> ls
    
    # Task the Agent
    guest@fyodoros:/> agent "Create a file named hello.txt in my home folder"
    
    # Manual Creation
    guest@fyodoros:/> create notes.txt "Meeting at 5pm"
    
    # Launch App Manually
    guest@fyodoros:/> navigate browser
    

💡 Use Cases

1. Web Research & Summary

Scenario: You want the agent to look up information and save it. Command:

agent "Go to https://example.com, read the main heading, and save it to /home/guest/summary.txt"

Agent Process:

  1. Calls run_process("browser", ["navigate", "https://example.com"]).
  2. Parses the returned DOM tree to find the <h1> tag.
  3. Calls write_file("/home/guest/summary.txt", ...) to save the data.

2. System Management

Scenario: You want to add a new user securely. Command:

agent "Create a new user named 'developer' with password 'secure123'"

Agent Process:

  1. Checks if user exists using run_process("user", ["list"]).
  2. Calls run_process("user", ["add", "developer", "secure123"]).
  3. Verifies the addition.

3. File Organization

Scenario: Organize a messy directory. Command:

agent "Move all .txt files from /home/guest to /home/guest/documents"

Agent Process:

  1. Calls list_dir("/home/guest").
  2. Identifies .txt files.
  3. Calls run_process("explorer", ["move", ...]) for each file.

🏗️ Architecture

  • src/fyodoros/kernel/: Core logic including Scheduler, SyscallHandler, and the new Agent Layer (agent.py, dom.py, sandbox.py).
  • src/fyodoros/bin/: User-space applications. These are "Agent-Aware" binaries that output JSON.
  • src/fyodoros/shell/: The interactive CLI wrapper.
  • src/fyodoros/cli.py: The launcher and configuration tool.

🤝 Contributing

FyodorOS is an experimental sandbox. We welcome contributions to:

  • Expand the standard library of Agent Apps.
  • Improve the DOM representation of system state.
  • Implement more complex Sandbox rules.

Built for the future of Autonomous Computing.

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