Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud Run Reviews & Ratings
    349 Ratings
    Company Website
  • ShareCRM Reviews & Ratings
    68 Ratings
    Company Website
  • QuickApps Reviews & Ratings
    Company Website
  • Chime Workplace Reviews & Ratings
    8 Ratings
    Company Website
  • Lockbox LIMS Reviews & Ratings
    72 Ratings
    Company Website
  • SBS Asset Finance Reviews & Ratings
    3 Ratings
    Company Website
  • FrameworkLTC Reviews & Ratings
    48 Ratings
    Company Website
  • Iris Identity Protection Reviews & Ratings
    3 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    61,066 Ratings
    Company Website
  • CompAccelerator Reviews & Ratings
    29 Ratings
    Company Website

What is Kubestack?

The dilemma of selecting between a user-friendly graphical interface and the strength of infrastructure as code has become outdated. With Kubestack, users can easily establish their Kubernetes platform through an accessible graphical user interface, then seamlessly export their customized stack into Terraform code, guaranteeing reliable provisioning and sustained operational effectiveness. Platforms designed with Kubestack Cloud are converted into a Terraform root module based on the Kubestack framework. This framework is entirely open-source, which greatly alleviates long-term maintenance challenges while supporting ongoing improvements. Implementing a structured pull-request and peer-review process can enhance change management within your team, promoting a more organized workflow. By reducing the volume of custom infrastructure code needed, teams can significantly decrease the maintenance responsibilities over time, enabling a greater focus on innovation and development. This strategy not only improves efficiency but also strengthens collaboration among team members, ultimately cultivating a more dynamic and productive environment for development efforts. As a result, teams are better positioned to adapt and thrive in an ever-evolving technological landscape.

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

Amazon EKS
Azure Kubernetes Service (AKS)
Google Kubernetes Engine (GKE)
Kubernetes
Kustomize.io
Terraform

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

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Kubestack

Company Website

www.kubestack.com

Company Facts

Organization Name

EverMind

Date Founded

2025

Company Location

United States

Company Website

evermind.ai/everos

Categories and Features

Categories and Features

AI Memory Layers

Not specified

Popular Alternatives

Popular Alternatives

MemClaw Reviews & Ratings

MemClaw

Caura AI
Atomic Host Reviews & Ratings

Atomic Host

Project Atomic
LangMem Reviews & Ratings

LangMem

LangChain
Membase Reviews & Ratings

Membase

Unibase