V-Bot Mind — Autonomous Virtual Robot Brain

V-Bot Mind MCP is the fleet's autonomous virtual robot brain runtime. It sits between game engines (Godot, Unity3D, Resonite) and LLM inference, providing:

• Perception ingestion: Feed what the V-Bot sees/hears
• LLM-driven reasoning: Autonomous decision-making via Ollama/LM Studio
• Episodic memory: Persistent recall of past interactions
• Personality engine: Configurable traits, goals, backstory
• Motor output: Structured action commands back to the engine
• Multi-bot registry: Manage dozens of V-Bots with individual identities

Quick Start

uv sync
start.ps1   # launches backend (11078) + frontend dashboard (11079)

MCP Client Config

{
  "mcpServers": {
    "vbot-mind": {
      "command": "uv",
      "args": ["run", "python", "-m", "vbot_mind.mcp.server", "--http", "--port", "11078"],
      "env": {
        "VBOT_MIND_LLM_BASE_URL": "http://127.0.0.1:11434/v1",
        "VBOT_MIND_LLM_MODEL": "qwen2.5:7b"
      }
    }
  }
}

Core Tools

Tool	Purpose
vbot_mind	Full V-Bot lifecycle: create, perceive, think, act, remember, chat, configure, delete
vbot_agentic_workflow	Multi-step autonomous goal pursuit with sampling

Architecture

Game Engine (Godot/Unity3D/Resonite)
    │
    │ perception (what the bot sees)
    ▼
V-Bot Mind MCP  ──►  LLM (Ollama / LM Studio)
    │                    │
    │ motor commands     │ reasoning
    ▼                    │
Game Engine  ◄───────────┘

Fleet Integration

• Feeds from godot-mcp, unity3d-mcp, resonite-mcp for world state
• Uses local-llm-mcp for inference provider discovery
• Integrates with advanced-memory-mcp for long-term knowledge (Phase 2)
• Consumed by teleoperator-mcp for VR interaction with V-Bots