"memory" matching MCP servers:

Hosts multiple Model Context Protocol servers (fetch, memory, GitHub, Postgres, utils) behind a single authenticated gateway, giving AI agents instant access via one Bearer token.

Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.

Enables comprehensive analysis of AWS Lambda performance including cold start tracking, memory utilization monitoring, cost analysis, and optimization recommendations. Provides real-time metrics, comparative analysis across multiple functions, and actionable insights to improve Lambda performance and reduce costs.

Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.

A serverless proxy for the Graphiti MCP server, enabling AI agents to maintain memory and context through Neo4j knowledge graphs, deployed on Cloudflare Workers.

Read-only MCP server for querying Cloudera Manager metrics (CPU, memory, disk, health) for CDP Public Cloud DataHubs via natural language, using workload credentials and Knox.

A remote MCP server deployed on Cloudflare Workers that integrates with Mem0 to provide memory writing and retrieval tools, compatible with SSE and standard MCP connections.