glama/fangsylar-pixel/marvis-working-memory-mcp
As of —, fangsylar-pixel/Marvis Working Memory MCP is unknown.
Provides local persistent working memory for AI agents, allowing them to load rules, preferences, and project state before tasks and save validated experiences after successful completion. Works with stdio MCP clients via a local JSON file.
No advertised endpoint or package; see https://github.com/fangsylar-pixel/marvis-working-memory-mcp for how to run it.
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Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of —, fangsylar-pixel/Marvis Working Memory MCP is unknown.
fangsylar-pixel/Marvis Working Memory MCP advertises 5 tools, including close_task, load_context, record_experience, remember, update_project.
No advertised endpoint or package; see https://github.com/fangsylar-pixel/marvis-working-memory-mcp for how to run it.
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Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.