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What is Memory AGI?

Memory AGI acts as a versatile memory enhancement for AI agents, enabling them to develop an authentic form of muscle memory. By incorporating specific company data, it creates a rich framework for knowledge and runtime memory that is consistently updated to align with the organization's environment, ensuring that agents are always informed. The performance of any AI is critically dependent on the quality of context it receives; without this, agents may underperform, akin to inexperienced interns, often failing to grasp the intricacies of the company's operations. Memory AGI revitalizes conventional workflows by converting them into knowledgeable agents that can execute tasks reliably, thus promoting greater accountability and transparency in their results. This groundbreaking system relies on three distinct tiers of muscle memory. The first tier, Dynamic Ingestion, skillfully gathers and organizes the unique knowledge of the organization from a variety of inputs, such as voice memos, internal documents, and existing data tools. Following this, the Runtime Memory Layer provides agents with access to a real-time, de-duplicated context database that acts as a collective knowledge repository for employees, agents, and automated systems, allowing them to accomplish tasks with the expertise characteristic of top-tier staff members. Furthermore, Memory AGI not only aids agents in their duties but also cultivates an environment conducive to ongoing learning and enhancement within the organization, ultimately ensuring that everyone remains engaged in their professional development.

What is EverOS?

EverOS is a persistent memory platform for AI agents that combines long-term context, multimodal ingestion, self-evolving skills, and cross-platform compatibility. The system is designed to sit inside an existing agent loop and retrieve relevant context before each large language model call. Rather than sending an entire conversation or knowledge history into the model every time, EverOS selects the most relevant stored memories for the current task. Its memory architecture is built to support low-latency retrieval while reducing token usage and maintaining continuity across sessions. EverOS also introduces self-evolving skills, which turn successful task executions into cases that can later be consolidated into reusable procedural knowledge. Repeated successful patterns can be promoted into shared skills that are available to multiple agents without requiring manual curation or brittle workflow logic. The platform accepts multimodal sources including PDFs, images, spreadsheets, documents, slides, URLs, and Markdown and automatically parses, chunks, and indexes them for retrieval. EverOS works with agent environments and interfaces such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- and Anthropic-compatible SDKs. Its Markdown-first portability model allows organizations to export memories in a readable, version-controllable format and move between hosted and self-managed deployments. Teams can start with EverOS Cloud or deploy the Apache 2.0 open source version on their own infrastructure using the same API and memory format. EverOS is designed for developers, AI infrastructure teams, and enterprises that want agents to retain context, learn reusable procedures, and operate more efficiently across tools and environments. EverOS achieves 93.05% on the LoCoMo long-term memory benchmark (research: arXiv:2601.02163).

Media

Media

Integrations Supported

Snowflake

Integrations Supported

Tanka

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free: $0/month. 3 Memory Spaces, 50,000 MCU/month, 100,000 Retrieval API calls/month.
Pro: $25/month (free during Early Access). 8 Memory Spaces, 250,000 MCU/month, 500,000 Retrieval API calls/month, includes Self-Evolving Skills.
Enterprise: Custom pricing. Custom limits, dedicated account manager, private deployment available.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Memory AGI

Company Location

United States

Company Website

memory-agi.com

Company Facts

Organization Name

EverMind

Date Founded

2025

Company Location

United States

Company Website

evermind.ai/everos

Categories and Features

AI Memory Layers

Not specified

Categories and Features

AI Memory Layers

Not specified

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