AgentRank

From the README

# mem-agent-mcp

This is an MCP server for our model [driaforall/mem-agent](https://huggingface.co/driaforall/mem-agent), which can be connected to apps like Claude Desktop or Lm Studio to interact with an obsidian-like memory system.

## Supported Platforms

- macOS (Metal backend)
- Linux (with GPU, vLLM backend)

### Platform note: aarch64 (ARM64) Linux
- On ARM64 Linux, vLLM is not installed by default to avoid build failures (no stable wheels and source builds can fail).
- Installation will succeed without vLLM; you can:
  - Use the default OpenRouter/OpenAI path (no local vLLM needed), or
  - Run vLLM on a compatible x86_64 host and point the client at it (see agent/model.py create_vllm_client).

## Running Instructions

### Using a LiteLLM proxy (OpenAI-compatible)
- If you have a LiteLLM proxy running locally (e.g., on port 4000), configure the client via .env:
```
VLLM_HOST=localhost
VLLM_PORT=4000
```
- Verify connectivity:
```
curl http://localhost:4000/v1/models
```
- Then