[KongchangAI]
Product

Hemory

A continuous passive voice memory capture application that runs on smartphones or Apple Watch. It automatically segments everyday conversations into searchable, structured memory units and integrates with AI agents via the MCP protocol, functioning as a persistent memory layer for AI systems.

Timeline (last 90 days)

Sep 26

Hemory is a voice memory product that converts everyday heard conversations into searchable memories and makes them available to AI Agents via the MCP protocol.

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Sep 26

The name Hemory is a combination of Hear and Memory.

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Sep 26

Hemory runs directly on devices users already own, such as smartphones or Apple Watch, with no additional hardware required.

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Sep 26

Hemory automatically segments a day's audio into moment clips and labels the speaker for each conversation segment.

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Sep 26

Hemory supports connecting to Claude, Codex, Cursor, and any MCP-compatible Agent via the MCP protocol.

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Sep 26

Hemory positions itself as an MCP Server, encapsulating the user's voice memory library into standardized memory tools for compatible Agents to call.

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Sep 26

Hemory achieved 213 upvotes and 31 comments on Product Hunt, ranking first at the top of the day's leaderboard.

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Sep 26

Hemory's categories on Product Hunt cover three directions: Productivity, Artificial Intelligence, and Audio.

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Sep 26

Hemory was created by Yingqi, Jasper Zhang, Jun, Shawn XIAO, and others.

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Sep 26

Products involving continuous listening face challenges in the areas of privacy, accuracy, battery life, and background stability.

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