memory vs plasmate
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | plasmate by plasmate-labs | |
|---|---|---|
| Stars | ★ 85,748 | ★ 21 |
| 30d uses | — | — |
| Score | 77 | 45 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | Browser AutomationWeb ScrapingAI / LLM Tools |
| Language | TypeScript | HTML |
| Last commit | this month | this month |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
plasmate · Summary
Plasmate is a browser engine for agents that converts HTML to a compact Semantic Object Model (SOM) via MCP.
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
plasmate · Use cases
- Web content extraction and summarization for AI agents
- Interactive web automation through stable element identifiers
- Efficient browser rendering for token-conscious LLM applications
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"]
}
}
}plasmate · Install
Install via package manager:
cargo install plasmate # Rust
npm install -g plasmate # Node.js
pip install plasmate # PythonFor Claude Desktop integration, add to your config:
{
"mcpServers": {
"plasmate": {
"command": "plasmate",
"args": ["mcp"]
}
}
}