Ori-Mnemos vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
Ori-Mnemos by aayoawoyemi | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 301 | ★ 85,748 |
| 30d uses | — | — |
| Score | 52 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsKnowledge GraphDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
Ori-Mnemos · Summary
Local-first persistent memory system for AI agents with recursive memory harness and MCP integration.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
Ori-Mnemos · Use cases
- Persistent memory for AI agents across sessions and clients
- Knowledge management with wiki-link graph structure
- Retrieval-augmented generation for complex reasoning tasks
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
Ori-Mnemos · Install
npm install -g ori-memory
ori init my-agent
cd my-agentFor MCP integration:
{
"mcpServers": {
"ori": {
"command": "ori",
"args": ["serve", "--mcp", "--vault", "/path/to/brain"],
"env": { "ORI_VAULT": "/path/to/brain" }
}
}
}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.