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What is HeyBrain?

HeyBrain is an enterprise AI knowledge management platform that provides a shared information layer for employees, teams, and autonomous AI agents. The software enables organizations to centralize approved documents, operational procedures, project information, business decisions, and other knowledge resources within a hosted workspace. Its AI memory capabilities preserve useful context for retrieval across compatible assistants, allowing users to reference information from previous projects and conversations. The platform includes a searchable knowledge base that supports natural language questions and generates responses accompanied by references to underlying sources. Users can organize company knowledge into shared collections and maintain information about document ownership, versions, and intended access. HeyBrain supports manual document uploads and integrations with Google Drive and Notion, with available connections depending on account permissions and configuration. Its Model Context Protocol integration allows compatible AI clients, including Claude, Cursor, and Codex, to retrieve authorized company information through connected tools. Organizations can maintain reusable agent instructions and provide task-specific knowledge to AI agents without embedding the same information separately into every workflow. Governance features help administrators evaluate user identities, agent access, document permissions, and the information available to connected AI tools. Activity review and source citation capabilities support oversight of knowledge retrieval and help users verify the information underlying AI-generated responses. HeyBrain also supports workflows that use different AI models and existing subscriptions, enabling businesses to manage shared organizational context independently of individual AI assistants.

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

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Media

Integrations Supported

Box
Claude
Confluence
Gemini
GitHub
Google Drive
Model Context Protocol (MCP)
Notion
OpenAI
Salesforce
Slack
Telegram

Integrations Supported

Tanka

API Availability

Has API

API Availability

Has API

Pricing Information

$30/month
Free Trial Offered?

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

Training Options

Documentation Hub

Company Facts

Organization Name

HeyBrain

Date Founded

2026

Company Location

Panama

Company Website

heybrain.io

Company Facts

Organization Name

EverMind

Date Founded

2025

Company Location

United States

Company Website

evermind.ai/everos

Categories and Features

AI Knowledge Base

Not specified

AI Memory Layers

Not specified

AI Productivity

Not specified

Categories and Features

AI Memory Layers

Not specified

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