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What is Unabyss?

Unabyss functions as an all-encompassing context layer for AI applications, facilitating the seamless integration and continuous maintenance of structured context throughout every AI interaction a user participates in. It gathers information from a multitude of everyday work platforms, such as Slack, Gmail, Notion, Google Calendar, GitHub, Linear, Google Drive, and various meeting applications, while automatically extracting, organizing, tagging, and refreshing that context in real time. Instead of limiting knowledge to a single chatbot or depending on outdated context files, Unabyss equips tools like Claude, ChatGPT, Cursor, Codex, Gemini, Perplexity, OpenCode, VS Code, and OpenClaw with the ability to tap into a shared knowledge base. Each AI can retrieve only the relevant context based on criteria such as topic, source, sensitivity, project, and account, alleviating the burden on users to repeatedly articulate their roles, preferences, decisions, clients, repositories, or ongoing priorities. This groundbreaking approach significantly boosts productivity and collaboration, allowing users to concentrate on their tasks without the inconvenience of repetitive explanations. By enhancing the efficiency of information retrieval, Unabyss transforms the way individuals interact with AI, making it a vital asset in today's fast-paced work environments.

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

ChatGPT
Claude
Claude Code
Cursor
Gemini
GitHub
Google Calendar
Google Drive
Hermes Agent
Linear
Model Context Protocol (MCP)
Notion
Obsidian
OpenAI Codex
OpenClaw
OpenCode
Perplexity
Visual Studio Code
X (Twitter)

Integrations Supported

Tanka

API Availability

API Availability

Has API

Pricing Information

$13 per 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
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Unabyss

Date Founded

2026

Company Location

Poland

Company Website

unabyss.com

Company Facts

Organization Name

EverMind

Date Founded

2025

Company Location

United States

Company Website

evermind.ai/everos

Categories and Features

AI Tools

Not specified

Categories and Features

AI Memory Layers

Not specified

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