Multinex MemQ
Give your coding agent persistent memory across sessions via OAuth-backed hosted MemQ instead of re-explaining project context every time.
Overview
ai.multinex/memq is an MCP server for the Build phase that provides OAuth-backed persistent memory for AI agents over hosted streamable HTTP.
What is this MCP server?
- Persistent memory store designed for AI agent workflows
- OAuth-backed hosted MCP at mcp.multinex.ai/mcp/v1
- Streamable HTTP remote transport (Multinex MemQ v2.8.0)
- Reduces repeated context dumping in long-running solo builds
- Complements skills and repos—it does not replace your vector DB for RAG
- MemQ MCP version 2.8.0
- Remote endpoint https://mcp.multinex.ai/mcp/v1
What problem does it solve?
Agents forget prior sessions unless you manually reload context, which slows solo shipping and duplicates explanations across tickets and chats.
Who is it for?
Solo builders running long Claude Code or Cursor projects who want hosted agent memory without building auth and storage first.
Skip if: Teams that need on-prem-only memory, fine-grained compliance archives, or a full RAG document pipeline replacing your own vector database.
What do I get? / Deliverables
After OAuth setup and MCP registration, your agent can read and write persistent MemQ memory so cross-session continuity improves without custom memory microservices on day one.
- Cross-session memory reads and writes via MCP tools
- Reduced repeated project context in agent chats
- OAuth-secured link between your agent and MemQ backend
Recommended MCP Servers
Journey fit
Canonical shelf is Build agent-tooling because MemQ is infrastructure you wire into the agent during product construction; it also supports Operate and Grow when memory drives iteration and user continuity. Agent-tooling is the right primary bin for MCP memory servers that extend what the agent remembers between tasks and repos.
How it compares
Hosted persistent-memory MCP with OAuth, not a one-shot brainstorming skill or a generic notes MCP without agent-oriented APIs.
Common Questions / FAQ
Who is ai.multinex/memq for?
Developers building agent-first workflows who need session-spanning memory connected through MCP rather than ad-hoc copy-paste context files.
When should I use Multinex MemQ?
Use it while building and iterating agent products when continuity across chats matters and you accept a hosted OAuth-backed memory service.
How do I add ai.multinex/memq to my agent?
Configure your MCP client with remote https://mcp.multinex.ai/mcp/v1, complete OAuth as Multinex documents, then use MemQ tools from your agent.