TUICommander

What it does

Run parallel AI coding agents on isolated branches with full observability. Diffs, PRs, CI status, usage dashboards, one workspace, zero context loss. Auto-detects 11 agents (Claude Code, Codex, Aider, Gemini CLI, Amp, and more) with rate limit countdowns and question detection. Git worktree isolation per branch. MCP Proxy Hub. CI Auto-Heal. Built-in AI Chat (Ollama, Anthropic, OpenAI). Mobile PWA companion. Rust + SolidJS. ~80MB RAM. macOS, Linux, Windows. Apache 2.0.

The IDE that understands AI agents. Run parallel agents on isolated branches with full observability. Diffs, PRs, CI, usage dashboards — one workspace, zero context loss.

Run parallel agents on isolated branches with full observability. Diffs, PRs, CI status, usage dashboards — one workspace, zero context loss. TUICommander auto-detects 10 AI coding agents and understands what they're doing. You're running Claude Code in one terminal, Aider in another, Codex in a third. One hit a rate limit 10 minutes ago and you didn't notice. Another is waiting for a Y/N confirmation. You switch between 6 windows and still lose track. Launch Claude Code on five branches at once — or mix agents. Each session runs in its own Git worktree — no context collision, no lost threads, no "which terminal was that?" moments. Click a branch in the sidebar. TUICommander auto-creates…from tuicommander.com

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  1CodeJan 2026 · github.com · ▲569

  Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

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  Parallel CodeMar 2026 · parallelcode.app · ▲159

  I kept running into a structural problem with AI coding tools. You try one agent. It makes changes. You try another. Now you're manually diffing branches and cleaning up experimental commits. The tools are powerful, but the workflow isn’t designed for comparison. So I built Parallel Code. It runs Claude Code, Codex, and Gemini CLI natively (no API wrapper, no feature abstraction), but isolates each agent in: its own terminal its own Git worktree its own feature branch The workflow becomes: Spawn N worktrees Assign one AI agent per worktree Let them implement independently Compare diffs Merge…

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  Agent-of-empires: OpenCode and Claude Code session managerJan 2026 · github.com · ▲118

  Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…

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  Remote OpenClawJul 2026 · codexmarketplaces.com · ▲81

  13,000+ MCP servers, skills & plugins for AI coding agents

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  Omar – A TUI for managing 100 coding agentsMay 2026 · omar.tech · ▲17

  We were both genuinely impressed by Claude Code after it helped each of us fix nasty CI problems overnight. Doing those fixes manually would have taken days. After that experience, we each found ourselves struggling through Ctrl+Tab through multiple Claude Code windows in our terminals. While we enjoyed having agents working for us in parallel, context switching and cycling through each terminal tab was a real pain. So we thought: Can we design a TUI dashboard that manages a large swarm of agents in one place? Even better, can agents manage agents hierarchically, like how companies work?…

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  Agentastic.dev is Ghostty and Git worktrees = multi-agent CC/Codex IDEJan 2026 · agentastic.dev · ▲11

  I’ve been tinkering with what a “multi-agent IDE” should look like if your day-to-day workflow is mostly in terminal (Claude Code, OpenAI Codex, etc.). The more I played with it, the more it collapsed into three fundamentals: * A good TUI: Terminal is the center stage, with other stuff (CodeEdit, Diff, Review) baked on the side. I don’t like piping Agent’s output through some electron wrapper, here you get to run CC/Codex/Droid/Amp/etc directly. * Isolation: agents shouldn’t step on each other’s toes. The simplest primitive I’ve found is Git worktrees. It is not as…

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  AI · Apr 2026 · text.blogosphere.app