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Add a GitHub Actions workflow that validates the app on pushes and pull requests, and publishes Windows, macOS, and Linux release assets when a tag is pushed. Also replace the Windows-only packaging flow with cross-platform Bun scripts for sidecar publishing and Electron packaging so the release job can package each runner natively. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
119 lines
5.1 KiB
Markdown
119 lines
5.1 KiB
Markdown
<p align="center">
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<img src="assets/icons/icon.png" alt="Eryx logo" width="180" />
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</p>
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<h1 align="center">Eryx</h1>
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<p align="center">
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A desktop workspace for Copilot-powered work across real projects.
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</p>
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Eryx is built for people who want more than a generic AI chat window. It gives you a place to ask quick questions, connect real projects, run reusable agent patterns, and keep ongoing work organized in one app.
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It works especially well when you want AI help that stays grounded in an actual codebase: your folders, your repository state, your current branch, and your active work.
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## Why use Eryx?
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- **Start fast** with a scratchpad conversation for quick questions and ad-hoc work.
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- **Work against real projects** by attaching local folders and letting Eryx stay aware of repository context.
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- **Go beyond one assistant** with orchestration patterns such as single-agent, sequential, concurrent, handoff, and group-chat flows.
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- **See what is happening** with live activity for each agent while a run is in progress.
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- **Stay organized** with persistent sessions you can rename, pin, archive, and return to later.
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- **Tune how you work** by choosing models and reusing saved patterns that fit different tasks.
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## What you can do in the app
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### Ask quick questions in a scratchpad
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If you just want to think through an idea, draft something, or ask for help without connecting a project, start a scratchpad session and begin chatting.
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### Connect a real project
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Add a local folder when you want help that is grounded in your work. Eryx is designed to feel strongest when it is attached to a real project instead of acting like a general-purpose chatbot.
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### Choose how agents collaborate
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Eryx supports several ways of working:
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- **Single** for direct one-agent help
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- **Sequential** for step-by-step specialist workflows
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- **Concurrent** for parallel exploration
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- **Handoff** for agent-to-agent delegation
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- **Group chat** for collaborative multi-agent discussion
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### Add global MCPs and LSPs
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You can define MCP servers and LSP profiles once in **Settings**, then enable the ones you want for each project-backed session from the right-side **Activity** panel.
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This keeps machine-wide tooling reusable while still letting each session decide which external tools the agent can use.
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### Watch runs as they happen
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You can follow agent activity while a session is running, which makes longer or more complex workflows easier to trust and understand.
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### Keep important work around
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Sessions are persistent, so you can return to ongoing work instead of starting from scratch every time. You can also rename, pin, archive, and duplicate sessions as your workspace grows.
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## Before you start
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To use Eryx comfortably, make sure you have:
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- a **Windows machine**
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- **GitHub Copilot CLI** installed and available as `copilot`
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- an active **GitHub Copilot sign-in**
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- a local folder or git repository ready to connect if you want project-aware help
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- any MCP servers or language servers you want to use installed and reachable from your machine
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Eryx includes connection status in the app so you can quickly tell whether Copilot is ready before you start a session.
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## Getting started
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1. **Open Eryx**
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Launch the app and head to settings if you want to confirm your Copilot connection first.
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2. **Check that Copilot is ready**
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Make sure the app shows that Copilot is installed and authenticated.
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3. **Choose how you want to begin**
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Start a scratchpad session for quick work, or add a project if you want the conversation grounded in a local codebase.
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4. **Pick a pattern**
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Use a simple single-agent setup to begin, or choose a saved multi-agent pattern when you want a more structured workflow.
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5. **Configure optional tooling**
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If you want MCP or LSP support, add the global definitions in settings and then enable the ones you want for the current session from the Activity panel.
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6. **Start working**
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Ask a question, describe a task, or explore a project. As the run progresses, you can watch the participating agents and keep the session for later.
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## When Eryx feels most useful
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Eryx shines when you want to:
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- move from quick chat to deeper multi-step work without leaving the app
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- keep AI conversations tied to actual projects instead of isolated prompts
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- compare different ways of approaching the same task
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- reuse patterns for recurring workflows
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- maintain a history of meaningful sessions instead of disposable chats
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## Build and release automation
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For local validation, run:
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- `bun run test`
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- `bun run sidecar:test`
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- `bun run build`
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To package the current platform into `release/`, run:
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- `bun run package`
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GitHub Actions now runs validation on pushes and pull requests, and pushing a git tag creates a GitHub release with Windows, macOS, and Linux assets uploaded directly to the release.
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## Current focus
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Eryx is focused on local, project-based work with your GitHub Copilot account. It already covers the essentials for working with projects, sessions, and reusable orchestration patterns, and it is growing toward a fuller AI workstation experience over time.
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If you want an AI app that feels closer to a control room for real work than a blank chat box, Eryx is built for that.
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