Real-Time Voice Agent with TEN + memU

Build intelligent voice assistants with long-term memory.

TEN Framework enables real-time voice interactions, while memU provides persistent memory. Together, they create AI agents that remember user preferences, track past conversations, and deliver natural, personalized responses.

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What You Will Build

With this real-time voice + memory pipeline, you can extend the agent into:

AI companion / emotional support agent
Language-learning or speaking-practice tutor
Customer support or sales voice agent
VTuber / character-based interactive agent
Outbound calling agent

By the end of the tutorial, you will have a fully running real-time voice agent with cross-session memory, ready to be customized into these scenarios.

Learn More About This Use Case

Explore the full tutorial and see how to build your own real-time voice agent with TEN + memU.

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Install memU Through Your Agent

Give your agent the canonical memU skill. It identifies the right host adapter, configures one shared memory backend, and verifies both memorization and retrieval.

Agent-Guided Setup

Codex, Claude Code, Cursor, OpenClaw, Hermes, WorkBuddy, and other agents can read SKILL.md, select their adapter, and follow the packaged install guide with verification at every step.

One Shared Memory

Connected agents use one configured local or cloud backend, so useful context and reusable skills can carry across sessions, agents, and devices without exposing a public API.

Start Building Smarter AI Today

Explore MemU and see how long-term memory can enhance your AI projects. Begin creating AI that remembers, learns, and adapts.

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