Best Memory Layer AI Tools & Models - Premium Memory Layer News

AI News

Meta Proposes a Novel Scalable Memory Layer to Enhance Language Model Knowledge and Reduce Hallucination Phenomena

As businesses increasingly adopt large language models (LLMs), improving the accuracy of model knowledge and reducing hallucination phenomena has become a significant challenge. Researchers at Meta AI have introduced a 'Scalable Memory Layer' in a recent paper, which may provide a solution to this issue. The core idea of the scalable memory layer is to add more parameters to the LLMs without increasing computational resources during inference, thereby enhancing their learning capabilities. This architecture is suitable for storing large amounts of factual knowledge while maintaining...

11.5k 3 days ago

Meta Proposes a Novel Scalable Memory Layer to Enhance Language Model Knowledge and Reduce Hallucination Phenomena

Meta Releases New Memory Layer Technology: Breaking Parameter Limits and Significantly Improving AI Fact Accuracy

Recently, Meta has announced a groundbreaking research achievement by developing a new type of memory layer technology that can significantly enhance the factual accuracy of large language models (LLMs) and achieve unprecedented expansion in parameter scale. This technology not only challenges traditional neural network expansion methods but also provides new directions for future AI architecture design. The core of this research lies in utilizing a trainable key-value lookup mechanism to add extra parameters to the model without increasing computational load (FLOPs). This method's core thinking is...

27.5k 11-30

Samsung Confirms Fifth Generation HBM3E Memory Codename Shinebolt: Aiding the Development of Next-Generation AI GPUs

["Samsung confirms that the codename for the fifth generation HBM3E memory is Shinebolt, with a 50% bandwidth increase to 1.228TB.","Shinebolt will stack 24Gb chips in 8 layers, and a 12-layer 36GB product is under development.","HBM3E will provide strong support for the next generation of AI GPUs.","Samsung accelerates HBM3E development, closely following industry leader SK Hynix.","Samsung announces plans to further expand HBM production capacity to offer customized services to customers."]

4.8k 11-25

Samsung Confirms Fifth Generation HBM3E Memory Codename Shinebolt: Aiding the Development of Next-Generation AI GPUs

AI Products

memU

MemU is an intelligent layer for AI memory, designed for LLM applications, offering higher accuracy, faster retrieval speed, and lower costs.

Chatbot

6.7k

OpenMemory MCP

A personal AI memory layer ensuring data security and privacy.

Knowledge management

15.4k

Memory

A scalable memory layer implementation designed to expand model parameters without increasing computational load.

AI model

6.9k

Memary

An open-source memory layer that provides human-like memory functions for autonomous agents.

AI model

11.3k

Models

gpt-oss-20b

Openai

$0.4

Input tokens/M

Output tokens/M

128

Context Length

GLM-4.5-X

Chatglm

Input tokens/M

$16

Output tokens/M

128

Context Length

Qwen3-30B-A3B

Alibaba

$0.75

Input tokens/M

Output tokens/M

Context Length

Qwen3-0.6B

Alibaba

$0.3

Input tokens/M

Output tokens/M

Context Length

Gemma 3n E2B Instructed LiteRT (Preview)

Google

Input tokens/M

Output tokens/M

Context Length

Gemma 3n E2B

Google

Input tokens/M

Output tokens/M

Context Length

Gemma 3n E4B

Google

Input tokens/M

Output tokens/M

Context Length

Gemma 3n E2B Instructed

Google

Input tokens/M

Output tokens/M

Context Length

Gemma 3n E4B Instructed LiteRT Preview

Google

Input tokens/M

Output tokens/M

Context Length

Gemma 3n E4B Instructed

Google

$140

Input tokens/M

$280

Output tokens/M

Context Length

Qwen3-8B

Alibaba

$0.5

Input tokens/M

Output tokens/M

Context Length

Hunyuan-Large-Longcontext

Tencent

Input tokens/M

$18

Output tokens/M

256

Context Length

SenseNova V6 Reasoner

Sensetime

Input tokens/M

$32

Output tokens/M

128

Context Length

Qwen_v2.5_1.5b_Instruct

Alibaba

Input tokens/M

Output tokens/M

Context Length

Tencent Hunyuan Image Generation (Multi-round Dialogue)

Tencent

Input tokens/M

Output tokens/M

Context Length

Yi-34B

01-ai

Input tokens/M

Output tokens/M

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ERNIE-4.0

Baidu

Input tokens/M

Output tokens/M

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MCP

Cipher

Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.

typescript

5.0points

Membase Mcp

Unibase membase is a decentralized memory layer designed for AI agents, achieving seamless integration with the decentralized storage protocol through the membase mcp server and supporting the upload and download of memory data.

python

8.9k

2.5points