ClaudyBro: Native macOS Terminal for Claude Code Workflows
What ClaudyBro Is
ClaudyBro is a native macOS terminal application purpose-built for Claude Code workflows. It's a lightweight 3.5 MB Swift app that wraps SwiftTerm without Electron or web views, designed to address specific friction points developers encounter when using Claude Code in standard terminals.
Key Features
- Image paste: Copy a screenshot, press Cmd+V, and ClaudyBro detects image data on the clipboard, saves it to a temporary file, and injects the path into your prompt automatically.
- Process inspector: See every process Claude has spawned with name, PID, memory usage, and whether it's an MCP server. Access via the child count in the status bar.
- Orphan cleanup: Node processes that outlive their tool call are detected after 30 seconds of idle time. Kill them individually or in bulk, with MCP servers correctly excluded from cleanup.
- Smart MCP management: Duplicate MCP servers are auto-killed, and all MCP servers terminate when Claude exits, preventing phantom node processes.
- Tabs: Supports Cmd+T/W, Cmd+1..9 shortcuts with directory shown in tab title and Terminal.app-style tab bar.
- Drag & drop: Drop image files directly onto the terminal to inject their path.
Performance Benchmarks
On Apple Silicon with idle shell:
| ClaudyBro | Ghostty | Warp | |
|---|---|---|---|
| Memory | 68 MB | 81 MB | ~250 MB |
| Disk | 3.5 MB | 62 MB | 326 MB |
| CPU idle | 0.0% | 0.0% | ~5% |
With Claude running: ClaudyBro uses 82 MB vs Ghostty's 140 MB.
How It Works
The terminal spawns your login shell, and Claude is launched via toolbar buttons. This allows you to cd, run other commands, exit Claude and re-run without restarting the terminal. Process monitoring uses Darwin sysctl/proc_pidinfo directly without ps or shell exec.
Installation
- Download DMG from GitHub releases
- Or build from source:
git clone + ./build.sh install
Requires macOS 13+ (Ventura). MIT licensed. Version 1.1.0 includes the new tab system, with Homebrew cask coming soon.
📖 Read the full source: r/ClaudeAI
👀 See Also
Scaling Karpathy's Autoresearch with 16 GPUs: Results and Methods
The SkyPilot team gave Claude Code access to 16 GPUs on a Kubernetes cluster to run Karpathy's Autoresearch project. Over 8 hours, the agent submitted ~910 experiments, reduced validation bits per byte from 1.003 to 0.974 (2.87% improvement), and reached the best validation loss 9x faster than sequential execution.
Clooks: A Persistent Hook Runtime for Claude Code
Clooks is a persistent HTTP daemon that handles Claude Code hook dispatch without process spawning, reducing latency from ~34.6ms to ~0.31ms per invocation. It includes automatic migration, LLM handlers with prompt templates, dependency resolution, and plugin packaging.
Claude Code Hook Monitors WIP Accumulation in AI Coding Workflows
A developer built a UserPromptSubmit hook for Claude Code that surfaces work-in-progress accumulation across four queues: uncommitted changes over 200 lines, three or more unpushed commits, pushed commits without changeset files, and release PRs open longer than 24 hours.
OpenClaw Skill Reduces Agent Handoff by Enabling Self-Execution
A new skill for OpenClaw agents addresses the common issue where agents identify the next step but stop at 'here's what to do next,' requiring a human handoff. The skill allows agents to carry out certain actions themselves, such as registering, posting, replying, and signing.