arpitnath

Orpheus CLI — AI skill for Claude Code

AI community

An experimental AI coding agent built to explore multi-model orchestration, tool systems, and agentic workflows.

How to install Orpheus CLI

This entry records only its repository, not the path inside it, so there is no exact command to give. Open arpitnath/orpheus_cli and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Orpheus CLI does

An experimental AI coding agent built to explore multi-model orchestration, tool systems, and agentic workflows.

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README

Orpheus CLI

An experimental AI coding agent built to explore multi-model orchestration, tool systems, and agentic workflows.

About This Project

Orpheus CLI is a **learning experiment**, not a production tool. I built it to deeply understand how coding agents work - from tool orchestration to memory systems to multi-model coordination.

This project represents my journey exploring:

How to build effective AI coding assistants
Multi-model orchestration patterns
Tool systems and agent architectures
The real complexity behind "simple" agentic workflows

**If you're looking for a production-ready coding agent, check out [Claude Code](https://github.com/anthropics/claude-code), [Cursor](https://cursor.sh), or [Aider](https://github.com/paul-gauthier/aider).**

What I Built

Multi-model orchestration - A "planner" model coordinating specialist agents (Claude for coding, Codex for review, Gemini for documentation)
Unified tool registry - AGNO-inspired tool system with structured responses
Pattern memory - SQLite + FTS5 for storing and recalling successful refactoring patterns
Git-aware context - Automatic workspace snapshots with branch, commits, and dirty files
Session persistence - Save/resume sessions with full context restoration
Streaming TUI - Bubble Tea interface showing real-time tool execution

What I Learned

A deep dive into the philosophy, design decisions, and lessons learned from building an experimental AI coding agent.

Philosophy & Vision

The Original Vision

When I started building Orpheus, I wanted to explore a fundamental question: **Can we build an AI coding assistant that truly understands the codebase it's working with?**

The vision was ambitious:

Multi-model orchestration - Use the right model for each task (Claude for coding, Codex for review, Gemini for documentation)
Persistent memory - Learn from successful refactoring patterns and reuse them
**Workspace awar