loom
Provides persistent identity and memory for AI agents across MCP-compatible harnesses, enabling agents to retain their name, values, and episodic memories between sessions regardless of the client or model.
Knowledge & Memory (RAG)
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Install
npx -y @jbarket/loomai
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
{
"mcpServers": {
"loom": {
"command": "npx",
"args": [
"-y",
"@jbarket/loomai"
],
"env": {
"LOOM_MODEL": "<LOOM_MODEL>",
"LOOM_CLIENT": "<LOOM_CLIENT>",
"LOOM_CONTEXT_DIR": "<LOOM_CONTEXT_DIR>",
"LOOM_SQLITE_DB_PATH": "<LOOM_SQLITE_DB_PATH>",
"LOOM_FASTEMBED_MODEL": "<LOOM_FASTEMBED_MODEL>",
"LOOM_FASTEMBED_CACHE_DIR": "<LOOM_FASTEMBED_CACHE_DIR>"
}
}
}
}Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
