Hemory logo — Always-on listening app that builds a private, searchable memory your AI agents can query via MCP

Hemory — Always-on listening app that builds a private, searchable memory your AI agents can query via MCP

#12 in AI Agents & Infrastructure⚡ 20 KP

✋ 0 people use this👍 0 people recommend this⭐ 0 reviews

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Hemory at a glance

Category
AI Agents & Infrastructure
Best for
Solo Founder, Startup, SMB
Agent compatibility
Agent Ready · MCP Native
Pricing
View pricing ↗
Website
www.hemory.com ↗
X (Twitter)
@hemory_com ↗
Last updated
29 Sept 2026

About Hemory

Hemory is an always-on listening app that captures conversations into a private, searchable memory. AI agents query it through MCP with a search_memory tool, working with Claude, Codex, Gemini, Cursor, VS Code and other MCP clients, so they can draft reports, journals or PRDs from real-world context. Raw audio stays on the device. Apps are available for iOS and Android, and self-hosting is listed as coming soon.

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Frequently asked questions

What does Hemory do?

It records conversations and turns them into a private searchable memory that AI agents can use.

How do agents connect?

Via MCP with a search_memory tool, for example 'claude mcp add hemory' or 'codex mcp add hemory'.

How much does it cost?

Starter $10/mo (20 hrs), Pro $20/mo (60 hrs), Max $50/mo (unlimited, 24h/day cap); only detected speech counts.

Is my audio stored?

The site says raw audio stays on the device and is not synced to the cloud.

Is Hemory agent ready?

Yes — Hemory is listed as Agent Ready and MCP Native on Maarket.

Who is Hemory best for?

Hemory is listed as a fit for Solo Founder, Startup, SMB teams.

What are the alternatives to Hemory?

Other AI Agents & Infrastructure products on Maarket include AgentScore (Latitude), Alexandria by Firecrawl, Answers by Context.dev, Aside, Buddy AI Access (MCP), ChatGPT.

How is Hemory ranked on Maarket?

Purely by Karma Points earned from community actions — reviews, recommends, use signals and clicks. There is no pay-to-rank; sponsor placements are always clearly labeled.

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