AI-Native Execution Environment

GIVE YOUR AI MODEL
REAL HANDS & EYES

The first Operational Abstraction Layer that turns any LLM into a fully capable Sysadmin. Full TUI control, persistent memory across reboots, and real-time collaboration with human operators.

AI Status: Thinking... Session: Collaborative
> Model Doing Some Docker Stuff

What can the model do?

ANYTHING.

=
MODEL

No whitelists. No sandboxed APIs. No simulated environments.
If a user can type it, the model can execute it.

UNRESTRICTED AI AGENCY

Most agents are limited to simple API calls. WolfTerminal empowers models to interact with the shell exactly like a senior engineer.

01. INTERACTIVE TUI

Interactive Apps Support

The AI can navigate nano, vim, htop, or menuconfig. It handles escape sequences, arrow keys, and Ctrl+C interruptions natively.

02. PERMISSION PROTOCOL

Sudo & Auth Handling

Security is paramount. The model can request password inputs for sudo commands, allowing "Human-in-the-loop" authorization for critical tasks.

03. UNIVERSAL INTERFACE

Model Agnostic

Built for GPT-4, Claude, Llama 3, or any future model. The simplified Write/Read protocol means no complex function calling training is required.

REBOOT-PROOF MEMORY

Orchestration beyond the session.

Standard AI agents lose context when a connection drops. WolfTerminal records the raw I/O stream to physical log files.

  • ✔ Full History Replay: If the server reboots, the logs are replayed to Xterm.js. The AI "remembers" everything.
  • ✔ Zero Buffer Limit: No truncated outputs. Analyze thousands of lines of logs without memory issues.
ai_tool_definition.json JSON
"tools"
: [ {
"name"
: "runUserTerminal",
"description"
: "Direct write access to PTY stream. Use for all CLI tasks.",
"parameters"
: { // Just 2 simple inputs for total control "input_data": "string (command/keystroke)", "session_id": "string (target_system)" } } ]

INTELLIGENCE IN ACTION

SCENARIO: ETHICAL HACKING

Autonomous Penetration Testing

Model scans ports, identifies vulnerabilities, and executes exploits. It analyzes the output in real-time to adjust its attack vector.

SCENARIO: MULTI-USER COLLAB

Human-AI Hybrid Session

5 Users and 1 AI in a single session. Users watch the AI configure Docker, interrupt it when necessary, and guide it via prompts.