memory vs web-agent-protocol
Side-by-side comparison to help you pick between these two MCP servers.
memory by modelcontextprotocol | web-agent-protocol by OTA-Tech-AI | |
|---|---|---|
| Stars | ★ 85,748 | ★ 497 |
| 30d uses | — | — |
| Score | 77 | 48 |
| Official | ✓ | — |
| Categories | Knowledge GraphAI / LLM ToolsProductivity | Browser AutomationWeb ScrapingAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 11 mo ago |
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
web-agent-protocol · Summary
Web Agent Protocol (WAP) records browser interactions and converts them into MCP servers for web automation replay.
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
web-agent-protocol · Use cases
- Automating repetitive web tasks by recording and replaying user interactions
- Creating MCP servers from browser workflows for AI agent automation
- Testing web applications by replaying exact user interaction sequences
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"]
}
}
}web-agent-protocol · Install
# Install dependencies
conda create -n WAP python=3.11
conda activate WAP
pip install -r requirements.txt
# Set environment variables
set PYTHONPATH=/path/to/webagentprotocol # Windows
export PYTHONPATH=/path/to/webagentprotocol # Linux
# Create .env file with API keys
OPENAI_API_KEY=sk-proj-...
DEEPSEEK_API_KEY=sk-...
# Install Chrome extension
# See https://github.com/OTA-Tech-AI/webagentprotocol/tree/main/chrome-extensionFor Claude Desktop integration, add to claude_desktop_config.json:
{
"mcpServers": {
"wap": {
"command": "python",
"args": ["/path/to/webagentprotocol/wap_service.py"]
}
}
}```