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ease
features
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support

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Description

Engram is an advanced, fully managed service designed to enhance memory and context for AI agents, enabling them to retain, learn, and evolve effectively over time. Rather than accumulating an unmanageable collection of unstructured conversations and events, it meticulously transforms chaotic interaction data into well-organized, lasting, and adaptive memories. Applications can seamlessly transmit raw text, entire dialogues, or pre-processed facts via a REST API or Python SDK with no need for prior formatting. Engram then operates asynchronous processes that extract pertinent information, streamline it by removing duplicates and aligning it with existing knowledge, resulting in a refined memory state that does not interfere with the main operations of the application. It addresses inconsistencies, adjusts to evolving preferences and changing information over time, ensuring that the context remains both relevant and efficient. Additionally, agents have the capability to access prioritized memories instantly through vector similarity, BM25 keyword searches, or a combination of retrieval methods, thereby minimizing the necessity to resend complete conversation logs. This approach significantly enhances the efficiency and effectiveness of interactions, making AI agents more responsive and capable of understanding user needs.

Description

EverMemOS is an innovative memory-operating system designed to provide AI agents with a continuous and rich long-term memory, facilitating their ability to comprehend, reason, and develop over time. Unlike conventional “stateless” AI systems that forget previous interactions, this platform employs advanced techniques such as layered memory extraction, organized knowledge structures, and adaptive retrieval mechanisms to create coherent narratives from varied interactions. This capability allows the AI to reference past conversations, user histories, and stored information in a dynamic manner. On the LoCoMo benchmark, EverMemOS achieved an impressive reasoning accuracy of 92.3%, surpassing other similar memory-enhanced systems. Its core component, the EverMemModel, enhances parametric long-context understanding by utilizing the model’s KV cache, thus enabling a complete training process rather than depending solely on retrieval-augmented generation. This innovative approach not only improves the AI's performance but also ensures it can adapt to users' evolving needs over time.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
Tanka
Weaviate

Integrations

Python
Tanka
Weaviate

Pricing Details

$45 per month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Weaviate

Founded

2019

Country

The Netherlands

Website

weaviate.io/product/engram

Vendor Details

Company Name

EverMind

Country

United States

Website

everm.ai/

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