Lessons learned from running Claude Code swarms at scale
Some time ago I built a simple app to run swarms of coding agents — I call it fleet (https://news.ycombinator.com/item?id=48256389). It's based on centralized beads with a Python orchestrator and can run any coder (Claude, agy, Codex). Recently I added a UI to manage the whole agent lifecycle: adding new tasks, monitoring running ones, and a chat interface built on MCP with a centralized SQLite DB. From the UI I can spawn agents to run in any directory, define dependencies on other tasks, and specify which coder/model should do the job. Today I can run 10–15 agents…
Lessons learned from running Claude Code swarms at scale launched on June 5, 2026 with 10 votes, #1,316 of 22,647 launches that month and more than 90% of that year's launches.
In plain words
Fleet is a Python-based orchestration tool for managing swarms of coding agents at scale. It provides a UI to create tasks, monitor running agents, define task dependencies, and select which AI model performs each job, with a centralized SQLite database and Model Context Protocol chat interface. The tool can run 10-15 concurrent agents and is designed for developers who need to coordinate multiple coding agents across different directories and models.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Some time ago I built a simple app to run swarms of coding agents — I call it fleet (https://news.ycombinator.com/item?id=48256389). It's based on centralized beads with a Python orchestrator and can run any coder (Claude, agy, Codex). Recently I added a UI to manage the whole agent lifecycle: adding…
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Agent OrchestratorAug 2026 · aoagents.dev · ▲56Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents. - Untrivial-ai/agent-orchestrator
FleetCode – Open-source UI for running multiple coding agents2025 · github.com · ▲103Hi HN! I've recently been finding productivity in running parallel CLI coding agents(after not believing in them initially). After having to do a ton of git stashing and branch fumbling, I decided I needed to something to more ergonomically run these agents in their own dedicated spaces. I tried a lot of the existing products but they either were too convoluted or flat out didn't work. Some of them also seem to roll their own chat UI which I don't think is the right approach, I wanted to something to lightly wrap my terminal sessions. So I built FleetCode! It uses git worktrees and let's you…
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…
Agent-of-empires: OpenCode and Claude Code session managerJan 2026 · github.com · ▲118Hi! 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…
Aviator Agents2025 · aviator.co · ▲97When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…
Skill that lets Claude Code/Codex spin up VMs and GPUsFeb 2026 · cloudrouter.dev · ▲138I've been working on CloudRouter, a skill + CLI that gives coding agents like Claude Code and Codex the ability to start cloud VMs and GPUs. When an agent writes code, it usually needs to start a dev server, run tests, open a browser to verify its work. Today that all happens on your local machine. This works fine for a single task, but the agent is sharing your computer: your ports, RAM, screen. If you run multiple agents in parallel, it gets a bit chaotic. Docker helps with isolation, but it still uses your machine's resources, and doesn't give the agent a browser, a desktop, or a GPU to…
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