beever-atlas vs memory
Side-by-side comparison to help you pick between these two MCP servers.
beever-atlas by Beever-AI | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 328 | ★ 85,748 |
| 30d uses | — | — |
| Score | 50 | 77 |
| Official | — | ✓ |
| Categories | CommunicationKnowledge GraphAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
beever-atlas · Summary
Beever Atlas is an MCP server that transforms team chats into a self-maintaining wiki with integrated search and QA capabilities.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
beever-atlas · Use cases
- Automatically team documentation from chat conversations
- AI-powered search across team communications with source citations
- Integrate team knowledge base into Claude Code and Cursor 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
beever-atlas · Install
Installation
- Clone the repository:
git clone https://github.com/beever-ai/beever-atlas.git
cd beever-atlas- Try the demo (optional):
make demo- Get API keys:
GOOGLE_API_KEYfor Gemini extraction and answersJINA_API_KEYfor embeddings (Jina v4)
- Install with one line:
./atlasThis will walk you through setup including embedding model, LLM provider, graph backend, and MCP server configuration.
Claude Desktop Integration
Add to Claude Desktop config:
{
"mcpServers": {
"beever-atlas": {
"command": "npx",
"args": ["beever-atlas-mcp"]
}
}
}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"]
}
}
}