Hy-Memory
A model that runs the long-term memory of an AI agent: it decides what from a chat, work tasks or code is worth remembering, in what form, and how new information changes what is already stored. It replaces the general-purpose model inside the memory systems Mem0, MemOS and Tencent's own Hy-Memory. Languages on the card: English and Chinese. The benchmark figures are Tencent's own.
- Developer
- Tencent Hunyuan, China
- First release
- Oct 2026
- Latest release
- Oct 2026
- Sizes
- 30B-A3B
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Customer support, Software development, Retail and marketplaces
What it does
- an assistant's memory about a customer between conversations
- remembering the course of work on a project and code
- updating stored facts when new data arrives instead of duplicates
Where it is used
Hardware requirements
Versions
- Hy-Memory-30B-A3B
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can Hy-Memory be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Hy-Memory need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Hy-Memory support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download Hy-Memory and what does it cost?
The Hy-Memory weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.
DetailsTextGLM (ChatGLM)Zhipu AI (Z.ai) · ChinaCommercial use with conditionsOne of the oldest Chinese open lines: from ChatGLM-6B to GLM-5.3. Strong at agentic tasks and programming; GLM-5.3-Flash understands images and is released under MIT.
DetailsTextDeepSeekDeepSeek · ChinaCommercial use allowedDeepSeek's flagship line: from the first 7B/67B to V4-Pro with 1.6 trillion parameters. Closed-model quality under an open MIT license; V4-Flash-Vision-Exp and V4.1-Flash understand images, context up to 1M tokens.
DetailsSource: huggingface.co/tencent/Hy-Memory-30B-A3B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


