Getting Started
A step-by-step developer tutorial for establishing a unified context layer for your workspace.
What is Megas Moves?
Megas Moves is an AI coding workflow product designed to solve context decay. By establishing a persistent, cloud-synced memory layer, Megas Moves coordinates high-level product goals and active sprint parameters across multiple AI agents. This guarantees that whether you are using a terminal runner, an IDE chat interface, or a background execution loop, the AI operates with the same architectural instructions and task targets.
Who is it for?
- Founders: Keep high-level product direction aligned with developer agents running in background container tasks.
- Lead Developers: Set absolute tech stack and style policies that agents must verify before submitting code changes.
- Solo Builders: Quickly resume complex codebases from mobile notifications, task completions, and status updates.
How to Start Using It
Add Your Project
Initialize a project space within your workspace directory. This generates your local megas.config.json mapping which registers your local directory structure, core directories, and repository paths.
Define Project Goals
Create high-level product milestones. These goals establish the permanent business intentions (e.g. “Migrate database to PostgreSQL” or “Implement PKCE authentication flows”) that agents can read as anchor rules.
Structure Tasks
Break down goals into execution-ready tasks. Assign status values (e.g. backlog, in-progress, waiting-approval) and specify explicit requirements that an agent must verify (e.g., passing tests or matching styles).
Add Agent Notes & Context
Add contextual details directly into the workspace loop. Explain layout patterns, folder constraints, or recent user feedback. AI agents read these notes dynamically, keeping them updated without requiring constant manual copy-pasting.
Keep Context Updated
Use the desktop system agent or the cloud-synced Android client to write updates. When you toggle task parameters, compile code, or append notes, the context layer is updated instantly across the cloud, ensuring your agents never execute outdated commands.
Installing & Uninstalling the CLI
Run these zero-dependency commands in your command-line interface to easily install or remove the Megas CLI from your system.
megas for your terminal
| Device / Environment | Install Command | Uninstall Command |
|---|---|---|
| Linux / macOS | curl -fsSL https://megasmoves.io/install.sh | sh | curl -fsSL https://megasmoves.io/uninstall.sh | sh |
| Windows (PowerShell) | irm https://megasmoves.io/install.ps1 | iex | irm https://megasmoves.io/uninstall.ps1 | iex |
| Windows (CMD) | powershell -Command "irm https://megasmoves.io/install.ps1 | iex" | powershell -Command "irm https://megasmoves.io/uninstall.ps1 | iex" |
| Python / Pip | pip install https://megasmoves.io/releases/megas_worker-0.1.0-py3-none-any.whl | pip uninstall megas-worker |
Join Android closed testing
Open the testing page, join the Google Group, become a tester, then install from Google Play so your closed-testing access counts.
Prefer community updates? Join the WhatsApp group.