Connect your Claude Desktop app or Claude Code terminal CLI to a unified memory layer. Inject codebase instructions, remember past debugging choices, and keep context compact.
Anthropic's Claude models excel at complex reasoning, coding syntax, and layout structure. However, without a memory layer, Claude sessions quickly run out of memory or repeat identical mistakes. By connecting Claude to Memwyre, you provide a structured memory vault that Claude can query and save to dynamically.
Whether you are using Claude Desktop for copywriting and architecture planning or Claude Code inside your local terminal for terminal tasks, Memwyre feeds context seamlessly.
Save terminal conversations automatically on exit and inject context dynamically when starting sessions.
Read and write memories directly within your desktop assistant sidebar via local MCP server integration.
Keeps Claude's context footprints low. Saves token costs by filtering out duplicate CLI or compiler logs.
Claude maps connections between databases, files, and styles, allowing multi-hop reasoning next turn.
Add the following to your claude_desktop_config.json file:
{
"mcpServers": {
"memwyre-memory": {
"command": "npx",
"args": ["-y", "@memwyre/mcp-server"],
"env": {
"MEMWYRE_API_KEY": "YOUR_MEMWYRE_KEY"
}
}
}
}Start building your personal long-term AI memory graph. Save context in the browser and use it in your IDE.