[FEATURE] [OceanDeveloperChallenge] Write Docs: Understanding Memory-Enabled Voice AI with TEN + PowerMem

Description

We’re looking for documentation-focused PRs to help developers better understand how to build voice AI with memory using TEN Framework + PowerMem.
The goal is not API reference docs, but explanatory, developer-friendly documentation that breaks down the ideas, structure, and logic behind memory-enabled voice agents.

Reference:

https://github.com/TEN-framework/ten-framework/tree/main/ai_agents/agents/examples/voice-assistant-with-PowerMem

What to contribute

Documentation that helps answer questions like:

• Why do voice agents need memory?
• How does PowerMem fit into the TEN Framework workflow?
• What data is stored, retrieved, and updated?
• How memory changes the behavior of a voice agent over time

Suggested formats:

• Architecture overview
• Step-by-step walkthrough
• Conceptual explanation with diagrams
• Annotated code explanations

You can help developers with

• Clear, well-structured Markdown documentation
• Diagrams, examples, or pseudo-code are welcome
• Content should help developers quickly grasp the full picture

Severity

Critical

Additional Information

No response

Start by reading the referenced example at ai_agents/agents/examples/voice-assistant-with-PowerMem and trace how memory fits into the TEN Framework workflow. Produce developer-friendly Markdown explaining the architecture, stored and retrieved data, and how memory changes voice-agent behavior; diagrams, examples, or pseudocode can support the explanation.