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Openeye

@dumbspacecookie

Repository

About Openeye

Persistent memory + visual session tracking + RL trajectory capture for AR/XR/mobile procedure verification. Bring your own vision model (Claude, GPT-4o, Ollama).

#memory#ar#xr#computer-vision#mcp#agent#procedure-verification#ollama#claude#dpo

Basic information

Category

AI & Agents

Transports

stdio

Publisher

dumbspacecookie

Submitted by

dumbspacecookie

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "openeye": {
      "command": "python3",
      "args": [
        "sidecar/mcp_server.py"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Openeye?

Openeye provides persistent memory, visual session tracking, and reinforcement learning trajectory capture for procedure verification in AR, XR, and mobile environments. It allows users to bring their own vision model, such as Claude, GPT-4o, or Ollama.

How to use Openeye?

—

Key features of Openeye

  • Persistent memory for sessions.
  • Visual session tracking.
  • RL trajectory capture.
  • Supports Claude, GPT-4o, Ollama.
  • Designed for AR/XR/mobile verification.

Use cases of Openeye

  • Procedure verification in AR, XR, or mobile environments.

FAQ from Openeye

What vision models does Openeye support?

Openeye supports Claude, GPT-4o, and Ollama.

What environments is Openeye designed for?

Openeye is designed for AR, XR, and mobile procedure verification.

Does Openeye include persistent memory?

Yes, Openeye includes persistent memory for sessions.

Comments

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