Omar – A TUI for managing 100 coding agents
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?…
Omar – A TUI for managing 100 coding agents launched on May 1, 2026 with 17 votes, #950 of 20,538 launches that month and more than 90% of that year's launches.
In plain words
Omar is a terminal user interface for managing multiple AI coding agents simultaneously. It consolidates what would otherwise require switching between many Claude Code windows into a single dashboard, allowing developers to run parallel agents while reducing context-switching overhead. The tool supports hierarchical agent management, where agents can coordinate and delegate work to other agents, similar to organizational structures. It is designed for developers who want to leverage multiple coding agents efficiently on complex tasks like CI/CD fixes.
written from the facts on this page · September 2026
From the sources
LLM agents are unpredictable. Their coordination doesn
omar delivers deterministic, formally specified orchestration for multi-agent systems. Agents managing agents, just like a company. Create parallel organizations of arbitrary depth. Let Claude, Codex, Cursor, Opencode, and Google Antigravity collaborate as a team. Mix and match the best model for each task. Talk to and control any subagent you want. Navigate hierarchies with arrow keys and attach via popup. Long-running or ephemeral agents, your choice. Persistent state across sessions with memory snapshots. Connect agents to Slack channels. Bridge the gap between human and AI workflows seamlessly. Supports all tmux commands and key bindings. Highly customizable with battle-tested session…from omar.tech
In the maker’s words, at launch
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…
Does a similar job
all alternatives →- Verdent Deck2025 · verdent.ai · ▲295
Hi HN! We just launched Verdent, an AI coding agent that actually plans before it codes, tests its own work, and delivers production-ready results without you having to clean up after it. tl;dr Check out the website [1] and read the story [2] - The problem: Current AI tools dump code and leave you to debug. You ask for "build a login endpoint" and get a passwordless JWT mess that doesn't fit your project. We've talked to hundreds of engineers who are frustrated with having to micromanage AI output. - What we built: Verdent works more like a senior engineer. It asks clarifying questions…
AgentGridJul 2026 · agentgrid.sh · ▲77Hi HN, I’m Michael, I built AgentGrid with my friend Souren because we were tired of losing our coding sessions and couldn't keep track of what was actually being built across our many projects. Our approach was to use an infinite canvas desktop app for the TUIs we already know and love, mainly claude + codex. We drew inspiration from Figma and Railway. Overtime we added image nodes, notes, terminals, coding editors, source control, etc. I wasn't sure about it at first. It took me a month to give the first version Souren built a real try. What got me was an Apple System Update I've been…
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Project management system for Claude Code2025 · github.com · ▲175I built a lightweight project management workflow to keep AI-driven development organized. The problem was that context kept disappearing between tasks. With multiple Claude agents running in parallel, I’d lose track of specs, dependencies, and history. External PM tools didn’t help because syncing them with repos always created friction. The solution was to treat GitHub Issues as the database. The "system" is ~50 bash scripts and markdown configs that: - Brainstorm with you to create a markdown PRD, spins up an epic, and decomposes it into tasks and syncs them with GitHub issues - Track…
ViberiaMay 2026 · getviberia.com · ▲146Hey HN, This is my take on the agent harness. Everything on an isometric map. Agents are grouped into "buildings" that run in a sequence or a loop; e.g., the CodeForge has an agent that writes a PRD, another one that implements, and a third that reviews. Everything is customizable, you build your own buildings/teams however you want. It's a Tauri app, really light (about 8x less energy than the closest competitor I benchmarked, so it actually runs from a coffee shop on battery). It's macOS only for now, but ping me if you are willing to test the Windows or Linux version. I've been…
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Source: Show HN post ↗ · launch text quoted in part
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