@Renzynx/Memory

A persistent memory MCP server with FTS5 fuzzy search. Compatible with Bun and Node.js.

Features

• Persistent Storage: Data stored in ~/.mcp-memory/memory.db survives npx/bunx cache clears
• Fuzzy Search: FTS5 with trigram tokenization for substring matching (pyth → python)
• Token Efficient: Results in TOON format for minimal token usage
• Auto Maintenance: Prunes entries older than 30 days, creates backups on startup
• Cross Runtime: Works with both Bun and Node.js

Installation

npx @renzynx/memory-mcp
# or
bunx @renzynx/memory-mcp

Configuration

OpenCode

Add to ~/.config/opencode/opencode.jsonc:

{
  "mcp": {
    "memory": {
      "type": "local",
      "command": ["bunx", "@renzynx/memory-mcp"]
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["@renzynx/memory-mcp"]
    }
  }
}

Tools

save_memory

Store information with a category.

save_memory(content: string, category: string)

Categories: preferences, facts, context, projects, conventions

search_memories

Fuzzy search stored memories. Returns TOON format or Ø if empty.

search_memories(query: string)

list_categories

List all unique categories. Returns TOON format or Ø if empty.

list_categories()

Agent Instructions

Add to your agent system prompt:

## Memory System

You have access to a persistent memory system via MCP tools. Use it proactively to remember important information across sessions.

### Tools Available
- `save_memory(content, category)` - Store information with a category
- `search_memories(query)` - Fuzzy search (supports partial matches like "pyth" → "python")
- `list_categories()` - View all memory categories

### When to Save Memories
- User preferences (coding style, tools, frameworks, communication preferences)
- Project context (architecture decisions, file structures, conventions)
- Facts about the user (name, role, team, timezone)
- Recurring tasks or workflows
- Corrections or clarifications the user provides
- Important decisions and their rationale

### Categories to Use
- `preferences` - User preferences and settings
- `facts` - Information about the user or their environment
- `projects` - Project-specific context and decisions
- `conventions` - Coding standards and patterns
- `context` - Session or task context worth preserving

### When to Search Memories
- At the start of conversations to recall user context
- Before making assumptions about preferences
- When the user references something previously discussed
- Before suggesting tools, patterns, or approaches

### Output Format
Results return in TOON format for token efficiency. "Ø" means no results found.

### Best Practices
- Save incrementally, not everything at once
- Use specific, searchable content
- Search before asking the user to repeat themselves
- Update memories when information changes (save new version)

License

MIT