Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AnyCap is a versatile, cloud-centric toolkit designed for managing AI agents, particularly those focused on coding tasks. It facilitates seamless connections for agents to various media generation and analysis tools, including image, video, music, and audio, along with resources for web searching, social media lookups, file storage, and publishing, all through a single command-line interface (CLI) and unified login system. Developers can interact with the CLI directly, implement an Agent Skill for natural language processing workflows, or make use of typed tools via a local MCP server. This CLI is compatible with macOS, Linux, and Windows systems through Git Bash, while operations are powered by AnyCap's hosted services. Common applications of AnyCap include crafting assets for software development, analyzing visual or auditory content, exploring information online, and disseminating files created by agents. Rather than replacing the coding agent or its underlying model, AnyCap serves as a complementary tool, and usage fees are calculated through a prepaid credit system based on the capabilities offered by the provider. This innovative approach ensures that developers can efficiently harness the power of AI in their workflows, maximizing productivity and creativity.
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.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Claude Code
Yes
Cursor
Yes
Model Context Protocol (MCP)
Yes
Codex CLI
Yes
Gemini CLI
Yes
Google Chrome
No
Manus AI
Yes
OpenCode
Yes
Slack
No
Integrations
Claude Code
Yes
Cursor
Yes
Model Context Protocol (MCP)
Yes
Codex CLI
No
Gemini CLI
No
Google Chrome
Yes
Manus AI
No
OpenCode
No
Slack
Yes
Pricing Details
$10 one-time
Prepaid credit packs: $10 one-time for 500 credits, $30 for 1,575 credits, or $100 for 5,500 credits. Credits do not expire. The service has no monthly subscription; usage costs depend on the capability and model. Enterprise volume pricing and invoicing are custom.
Free Trial
No
Free Version
No
Pricing Details
$19/user/month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
AnyCap
Website
anycap.ai/
Vendor Details
Company Name
Atono
Founded
2024
Country
United States
Website
atono.io
Product Features
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