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Add agent integration: Python library, MCP server, and skill

This PR adds comprehensive agent integration for Redis-FS, enabling AI agents to use Redis-backed filesystem storage for memories, documents, state, and tasks.

Features

Python Library (redis_fs/)

  • RedisFS client class wrapping all FS.* commands with Pythonic API
  • redis-fs CLI with Unix-like commands (cat, ls, grep, replace, etc.)
  • Full type hints and pip-installable via pyproject.toml

MCP Server (mcp_server/)

  • HTTP/SSE transport for integration with Claude, Auggie, and other MCP clients
  • 13 tools: fs_read, fs_write, fs_replace, fs_insert, fs_grep, etc.
  • Health check endpoint at /health

Agent Skill (skills/redis-fs/)

  • Compatible with npx skills add for 37+ agents
  • Documents use cases (memories, markdown, state) and anti-patterns (binaries, scripts)
  • Complete command reference with examples

Docker Support

  • docker-compose.yml orchestrates Redis + MCP server
  • make mcp-up builds and starts everything

Usage

make mcp-up              # Start Redis + MCP server
make install-mcp-auggie  # Add to Auggie CLI
make install-skill-local # Install skill to Claude Code