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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Atono is a product knowledge and workflow platform designed to help AI tools, product teams, and engineering teams work from the same product context. The platform addresses the problem of AI-generated specs, stories, and code being close but inaccurate because the AI lacks product-specific terminology, decisions, and implementation history. Atono builds product knowledge through three layers: a Glossary, Living Stories, and AI Context. The Glossary captures the product’s vocabulary, concepts, personas, and relationships from existing documentation so AI tools use the right terminology. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to each story as the product evolves. AI Context captures design decisions, technical investigations, and implementation changes through Atono’s MCP server so tools like Cursor, Claude, and Copilot can continue from prior sessions. Teams can use Atono to plan, build, deploy, and measure work from the same story while keeping requirements, code context, release controls, and engagement data connected. The platform can operate as an intelligence layer alongside Jira, Linear, or an existing stack, or as a full platform that replaces project management, feature flag, and analytics tools. By combining product knowledge, AI context, stories, feature flags, analytics, MCP integrations, and cross-functional workflows, Atono helps teams make AI output more accurate and product work more connected.

Description

claude-mem serves as an offline-first cloud memory solution for AI agents, centered around an open source engine along with a cloud synchronization layer that connects agent memories universally through a single private MCP link. Its design ensures that coding agents and AI assistants do not begin from scratch in each session, regardless of the machine or editor in use. As agents work, claude-mem efficiently records notes that encapsulate decisions, solutions, obstacles, environmental insights, architectural choices, and a variety of structured observations within a temporal database. The CMEM Cloud then replicates this local memory through a private Model Context Protocol endpoint, enabling any compatible agent or integrated development environment to access and modify the same memory across various platforms such as Claude Code, Cursor, Windsurf, OpenCode, Codex CLI, Gemini CLI, and VS Code. Operating primarily in a local setting, it maintains functionality whether or not a network connection is available, and ensures that memory is kept in sync whenever cloud access is present. This innovative approach enhances the continuity of AI interactions, facilitating a smoother experience for developers and users alike.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
CMEM Cloud No 
Codex CLI No 
Devin Desktop No 
Gemini CLI No 
Google Chrome Yes 
JSON No 
OpenCode No 
Slack Yes 
Visual Studio Code No 

Integrations

Claude Code Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
CMEM Cloud Yes 
Codex CLI Yes 
Devin Desktop Yes 
Gemini CLI Yes 
Google Chrome No 
JSON Yes 
OpenCode Yes 
Slack No 
Visual Studio Code Yes 

Pricing Details

$19/user/month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Atono

Founded

2024

Country

United States

Website

atono.io

Vendor Details

Company Name

cmem.ai

Country

United States

Website

cmem.ai/

Product Features

Agile Project Management Tools

Backlog Management No 
Feedback Management No 
Gantt/Timeline View No 
Kanban Board No 
Prioritization No 
Request Management No 
Resource Management No 
Retrospectives Management No 
Status Tracking No 
Supports Scrum No 
Team Management No 
Template Management No 
Workflow Management No 

Product Features

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Alternatives

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