memory-lane

MemoryLane gives Claude Code durable project memory by extracting knowledge locally and injecting only what matters.

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Python

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Option 1: Use slash command in Claude Code

/install-skill https://github.com/AWolf81/memory-lane

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/AWolf81/memory-lane ~/.claude/skills/memory-lane

# Project-specific

git clone https://github.com/AWolf81/memory-lane .claude/skills/memory-lane

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/AWolf81/memory-lane"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/AWolf81/memory-lane

Option 2: Clone to extensions directory

git clone https://github.com/AWolf81/memory-lane ~/.gemini/extensions/memory-lane

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensors and Dynamic neural networks in Python with strong GPU acceleration