memora vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
memora by agentic-box | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 405 | ★ 85,748 |
| 30d uses | — | — |
| Score | 53 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsKnowledge GraphDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
memora · Summary
A lightweight MCP server for semantic memory storage, knowledge graphs, and persistent memory for AI agents.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
memora · Use cases
- Building long-term memory for AI agents that persist across sessions
- Creating personal knowledge graphs with automatic memory linking and relationships
- Developing AI-powered note-taking applications with semantic search capabilities
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
memora · Install
Installation
pip install git+https://github.com/agentic-box/memora.gitWith Claude Desktop, add to your config.json:
{
"mcpServers": {
"memora": {
"command": "memora-server",
"args": [],
"env": {
"MEMORA_DB_PATH": "~/.local/share/memora/memories.db",
"MEMORA_ALLOW_ANY_TAG": "1"
}
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.