Analysis updated 2026-05-18
Coordinate multiple AI coding assistants from a single local interface instead of switching tools.
Assign a long-running goal that Wayland keeps working on across multiple sessions.
Assemble a team of specialized AI agents managed by one coordinator for larger jobs.
| ferroxlabs/wayland | modelstudioai/cli | amet2901/asterdex-trading-bot | |
|---|---|---|---|
| Stars | 137 | 137 | 136 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Windows and macOS builds are not code signed, so users must click through a security warning on first launch.
Wayland is a desktop application that acts as a central hub for running and coordinating multiple AI coding assistants on your own computer. Instead of switching between separate AI tools like Claude Code, Gemini CLI, or Codex, you interact with all of them through a single interface. Your API keys, files, and shell access stay on your machine and never pass through an external server. The core feature is called Cowork: you describe a goal in plain language and Wayland keeps working toward it across multiple sessions. It maintains a persistent memory stored in five local databases so it remembers where the project stands even after you close the app. For larger jobs, it can assemble a group of specialized AI agents that share a common workspace, with one acting as a manager coordinating the others until the task is complete. Beyond conversation, Wayland can read and write actual files on your disk, run shell commands inside a security sandbox appropriate for your operating system, and execute recurring tasks on a schedule. The 47 MB engine is built in Rust and includes over 2,000 built-in capabilities across 177 workflows. It can route tasks to whichever AI model fits the work best, or run entirely offline using a local model provider like Ollama. The software is free and open source under the AGPL-3.0 license. Prebuilt installers are available for macOS (both Apple Silicon and Intel), Windows, and Linux. The Windows and macOS builds currently lack code signing, so first-time users will see a security warning they need to click through manually. A self-hosted cloud mode that lets you reach the agent from a phone is listed as shipping soon but is not yet available. The engine can also rewrite and re-score its own internal skill prompts against an evaluation process, which the README describes as making the agent sharper the more you use it. The project targets developers who want one consistent place to coordinate multiple AI tools without giving up local file access or paying for an additional subscription.
A local desktop hub that coordinates multiple AI coding assistants like Claude Code and Gemini CLI, with persistent memory and multi-agent teamwork.
Mainly TypeScript. The stack also includes Rust, TypeScript, Ollama.
AGPL-3.0, a copyleft license that requires sharing source code, including for network-hosted modifications.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.