Just copy-paste a setup prompt (link below) into Claude Code/Codex, add your strategy prompt, and watch a livestream of your agent playing based on your approach and competing with other agents!
I\u2019ve included an auto-improvement mechanism inspired by Karpathy\u2019s autoresearch by which your agent self-reflects on its performance and improves its strategy - you can disable this or tweak the mechanism anytime by chatting with your agent in Claude Code/Codex.
Join the swarm, track your agent on the leaderboard, and compete to find the best approach!"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["agent","swarm"],"value":"Show HN: Launch an AI agent swarm for ARC-AGI-3 with plain-English prompts"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://arc-agi-swarm.vercel.app/"}},"_tags":["story","author_surferbayarea","story_47458494","show_hn"],"author":"surferbayarea","children":[47458750],"created_at":"2026-03-20T18:16:17Z","created_at_i":1774030577,"num_comments":1,"objectID":"47458494","points":4,"story_id":47458494,"story_text":"I built an agent swarm platform where anyone can launch an AI agent to play and compete on ARC Prize ARC-AGI-3 games using plain-English strategy prompts, without writing a single line of code.
Just copy-paste a setup prompt (link below) into Claude Code/Codex, add your strategy prompt, and watch a livestream of your agent playing based on your approach and competing with other agents!
I\u2019ve included an auto-improvement mechanism inspired by Karpathy\u2019s autoresearch by which your agent self-reflects on its performance and improves its strategy - you can disable this or tweak the mechanism anytime by chatting with your agent in Claude Code/Codex.
Join the swarm, track your agent on the leaderboard, and compete to find the best approach!","title":"Show HN: Launch an AI agent swarm for ARC-AGI-3 with plain-English prompts","updated_at":"2026-03-21T05:34:26Z","url":"https://arc-agi-swarm.vercel.app/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"swolpers"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["agent","swarm"],"value":"Ajeya Cotra \u2013 Inside the OpenAI agent swarm that hacked Hugging Face"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://www.dwarkesh.com/p/ajeya-cotra"}},"_tags":["story","author_swolpers","story_49524055"],"author":"swolpers","created_at":"2026-09-01T16:15:13Z","created_at_i":1788279313,"num_comments":0,"objectID":"49524055","points":4,"story_id":49524055,"title":"Ajeya Cotra \u2013 Inside the OpenAI agent swarm that hacked Hugging Face","updated_at":"2026-09-16T23:55:44Z","url":"https://www.dwarkesh.com/p/ajeya-cotra"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"ericzawo"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["agent","swarm"],"value":"OpenAI agent swarm posted two FBI database API keys, and hit two universities"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://twitter.com/kennethrdegraff/status/2096028829890625978"}},"_tags":["story","author_ericzawo","story_49579647"],"author":"ericzawo","children":[49579834,49580016,49580271],"created_at":"2026-09-05T19:07:25Z","created_at_i":1788635245,"num_comments":3,"objectID":"49579647","points":3,"story_id":49579647,"title":"OpenAI agent swarm posted two FBI database API keys, and hit two universities","updated_at":"2026-09-05T22:19:53Z","url":"https://twitter.com/kennethrdegraff/status/2096028829890625978"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"0x04am"},"story_text":{"matchLevel":"none","matchedWords":[],"value":"Synaps is an agent runtime written in Rust. It keeps cost down by optimising caching mechanisms and intelligently orchestrating work across workers. This keeps each worker's context low and fresh, making sessions last longer. It is extremely extensible. It has hooks, plugins and skills that can be imported from pretty much any coding tool.
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It is an open source project that was started 4 months ago. It was built to optimise for 2 things: Keeping LLM costs down, and keeping resource use low. It bots up in 20ms and runs with any model: OAuth(codex, Grok, Kimi...), api keys or local models too. 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My use cases are:
- centralized interface for spawning unrelated single tasks in parallel
- coding with spec driven development approach: https://github.com/sermakarevich/sddw - I can chain sdd workflow steps with beads --deps
- reviewing codebase and triggering many small tasks to be executed in parallel
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- https://simonwillison.net/2025/Oct/5/parallel-coding-agents/
- https://zachwills.net/i-managed-a-swarm-of-20-ai-agents-for-a-week-here-are-the-8-rules-i-learned/
- https://juhache.substack.com/p/on-the-road-to-agent-swarms
How do you run agent swarm today? What are the use cases?"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["agent","swarm"],"value":"Ask HN: How do you run your agent swarm?"}},"_tags":["story","author_sermakarevich","story_48457480","ask_hn"],"author":"sermakarevich","children":[48457607],"created_at":"2026-06-09T06:51:04Z","created_at_i":1780987864,"num_comments":0,"objectID":"48457480","points":2,"story_id":48457480,"story_text":"I passed through some evolution, from todo list with /clear + "take next task" prompt to cleaning most of the skills/plugins/claudemd, using centralized beads db, developing ask_human mcp on sqllite and creating lightweight python orchestrator with ui: https://github.com/sermakarevich/fleet.
My use cases are:
- centralized interface for spawning unrelated single tasks in parallel
- coding with spec driven development approach: https://github.com/sermakarevich/sddw - I can chain sdd workflow steps with beads --deps
- reviewing codebase and triggering many small tasks to be executed in parallel
Few articles:
- https://simonwillison.net/2025/Oct/5/parallel-coding-agents/
- https://zachwills.net/i-managed-a-swarm-of-20-ai-agents-for-a-week-here-are-the-8-rules-i-learned/
- https://juhache.substack.com/p/on-the-road-to-agent-swarms
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