BrowseAI-Dev vs memory
Side-by-side comparison to help you pick between these two MCP servers.
BrowseAI-Dev by BrowseAI-HQ | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 17 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsSearchWeb Scraping | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
BrowseAI-Dev · Summary
BrowseAI Dev provides an evidence-backed web search MCP server with citations and confidence scores to reduce AI hallucinations.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
BrowseAI-Dev · Use cases
- AI agent research with verified citations
- Fact-checking and content verification
- Multi-agent collaborative research
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
BrowseAI-Dev · Install
Installation
NPM
npm install browseai-devPython
pip install browseaidevLangChain
pip install langchain-browseaidevMCP Configuration (Claude Desktop)
Add to claude_desktop_config.json:
{
"mcpServers": {
"browseai-dev": {
"command": "npx",
"args": ["-y", "@browseai-dev/mcp-server"]
}
}
}Set environment variable: BROWSE_API_KEY=bai_xxx
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"]
}
}
}