klavis vs memory
Side-by-side comparison to help you pick between these two MCP servers.
klavis by Klavis-AI | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 5,735 | ★ 85,748 |
| 30d uses | — | — |
| Score | 58 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsCommunicationProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
klavis · Summary
Klavis is an MCP integration platform offering over 100 prebuilt connectors with OAuth support for AI agents.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
klavis · Use cases
- Building AI agents that need to access multiple services with proper authentication
- Scaling MCP integrations for enterprise-level AI applications
- Creating custom tool integrations for specialized AI workflows
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
klavis · Install
Installation Options
Cloud-hosted
Visit [klavis.ai](https://www.klavis.ai) and follow the quickstart guide.
Self-hosted
# Run any MCP Integration
docker pull ghcr.io/klavis-ai/github-mcp-server:latest
docker run -p 5000:5000 ghcr.io/klavis-ai/github-mcp-server:latest
# Install Open Source Strata locally
pipx install strata-mcp
strata add --type stdio playwright npx @playwright/mcp@latestSDK (Python)
from klavis import Klavis
from klavis.types import McpServerName
klavis = Klavis(api_key="your-key")
# Create Strata instance
strata = klavis.mcp_server.create_strata_server(
user_id="user123",
servers=[McpServerName.GMAIL, McpServerName.SLACK],
)Claude Desktop Integration
Add to your Claude Desktop config.json:
{
"mcpServers": {
"klavis": {
"command": "docker",
"args": ["run", "--rm", "-p", "5000:5000", "ghcr.io/klavis-ai/github-mcp-server:latest"]
}
}
}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"]
}
}
}