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What is Membase?

Membase is a robust memory solution crafted for both individuals and developers who are dedicated to the creation of AI agents. It aggregates insights from various sources, including discussions, documents, online content, and integrated applications, resulting in a reliable memory framework that users can easily review, modify, delete, and export as they require. To streamline memory management, it provides a web application and a Chrome extension that enable users to save browser data and share relevant information with compatible AI tools seamlessly. Developers have the capability to connect their custom agents through MCP, which offers a REST API, command-line interface, and SDKs for programming in Python and TypeScript. This system is designed with specific memories and access controls, which are customized for personal, project, and client-related use, thus allowing users to manage permissions with precision. Furthermore, the hosted platform takes charge of storing and processing the original content, which significantly aids in both memory construction and retrieval. Overall, with its comprehensive features, Membase significantly improves the organization and efficiency of information management for tasks that rely on AI. This innovative approach ultimately assists users in maintaining a more structured and accessible knowledge base.

What is Engram?

Engram is a sophisticated, fully managed system created to improve memory and contextual awareness for AI agents, allowing them to retain information, learn, and progress effectively as time passes. Instead of letting a vast array of unstructured conversations and events pile up, it skillfully converts disorganized interaction data into structured, enduring, and adaptable memories. Users can easily send raw text, full conversations, or pre-processed information through a REST API or Python SDK without any need for prior formatting. Engram then employs asynchronous processes to identify relevant information, streamline it by eliminating duplicates, and synchronize it with existing knowledge, leading to an improved memory state that operates independently of the application's core functions. It effectively manages inconsistencies and adapts to new preferences and changes in information over time, ensuring that the context remains pertinent and efficient. Furthermore, agents can quickly access prioritized memories using methods like vector similarity, BM25 keyword searches, or a blend of retrieval techniques, thus reducing the need for resending entire conversation histories. This innovative approach greatly boosts the interaction's efficiency and effectiveness, making AI agents more agile and better equipped to comprehend user requirements. Ultimately, Engram not only enhances the operational capabilities of AI agents but also fosters a more user-centric experience.

Media

Media

Integrations Supported

ChatGPT
Claude
Claude Code
Codex CLI
Cursor
DeepSeek
Gemini
Grok
Kimi
Model Context Protocol (MCP)

Integrations Supported

Python

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free during beta.
Free Version

Pricing Information

$45 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Unibase

Company Location

Singapore

Company Website

membase.ai

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io/product/engram

Categories and Features

AI Memory Layers

Not specified

Categories and Features

AI Memory Layers

Not specified

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