
EVY
EVY is a free macOS workspace that unifies to-dos, notes, and AI agent workflows in a single shared space. It lets teams plan tasks, hand them to agents like Claude Code and Codex on their own AI plans, and stores all knowledge as plain Markdown files locally, ensuring portability and zero vendor lock-in.
- AI Agents
- Creator / Creative Economy
- Enterprise Software
- Marketing Technology
- Artificial Intelligence
- Software Only
- Content & Publishing
Funding
Founders
Founder details are not available yet.
Product
Problem
Teams juggle scattered notes, to-do lists, and AI tools across different apps, causing context loss, duplicated effort, and time wasted searching for information. Managing AI agents and their outputs adds another layer of coordination overhead, especially when each team member uses a different assistant.
Solution
EVY provides a unified Mac-native workspace where notes, to-dos, and AI agent workflows live side by side. Users document plans and tasks, and when Auto mode is enabled, EVY's agents independently work through the list, completing items like generating content, drafting reports, or resizing assets. The application maintains a shared knowledge base that every agent reads from, and all outputs and learnings are stored as plain files on the local Mac, ensuring accessibility and portability without vendor lock-in.
Target Audience
Primary users are small creative and consulting teams, such as design studios and agencies, that rely on AI tools for content creation, client reporting, and project management on macOS.
Features
- Auto-mode task execution: agents automatically process to-do items in priority order while the user is away
- Multi-agent support: integrates with different AI tools (e.g., Claude, ChatGPT, Codex) so each team member can use their preferred assistant
- Live collaborative notes: real-time editing with separate Private and Shared sections for team knowledge management
- Plain-file storage: all data saved as readable Markdown files on the Mac, compatible with any tool or AI
- Agent question handling: when stuck, agents surface questions at the top of the to-do list rather than guessing
- Platform-specific task routing: tasks can be assigned to specific agents (e.g., @claude for social posts, @codex for coding)