memory vs tmcp
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | tmcp by rbxwilliams | |
|---|---|---|
| Stars | ★ 85,748 | ★ 0 |
| 30d uses | — | — |
| Score | 77 | 30 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | SearchAI / LLM ToolsOther |
| Language | TypeScript | JavaScript |
| Last commit | this month | 1 mo ago |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
tmcp · Summary
JavaScript MCP server providing flight search tools with validation but no backend implementation.
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
tmcp · Use cases
- Testing MCP client implementations with a flight search interface
- Developing MCP servers with structured error handling
- Demonstrating Fli-compatible MCP surface implementation
memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}tmcp · Install
Install via npm:
npm install
npm startOr run in HTTP mode:
npm run start:httpClaude Desktop Configuration
{
"mcpServers": {
"fli": {
"command": "node",
"args": ["/path/to/tmcp/bin/fli-mcp.js"]
}
}
}