memora vs everything
Side-by-side comparison to help you pick between these two MCP servers.
memora by agentic-box | everything by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 405 | ★ 85,748 |
| 30d uses | — | — |
| Score | 53 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsKnowledge GraphDeveloper Tools | Developer ToolsAI / LLM ToolsOther |
| 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.
everything · Summary
Official MCP test server exercising all protocol features for client builders.
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
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
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"
}
}
}
}everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everything