I built an open source multi-agent harness in Go

What it does

Open source multi-agent harness for orchestrating AI workers. Supports Claude Code, OpenAI Codex, Cursor Agent, and local models. - AndreBaltazar8/artificial

An open source AI agent harness for orchestrating multiple AI workers from a single dashboard. Built in Go. Artificial lets you spawn, manage, and coordinate AI agents (Claude Code, OpenAI Codex, ACP-compatible models, local LLMs) as a team. Agents get personas, skills, communication channels, and a shared task board. You manage them from a real-time web dashboard or the REST API. ┌───────────────────────────────────────────────────┐ │ svc-artificial │ │ Dashboard · REST API · WebSocket Hub │ │ SQLite DB │ └─────────┬──────────────┬─────────────┬────────────┘ │ WebSocket │ WebSocket │ WebSocket ┌─────┴──────┐ ┌────┴──────┐ ┌───┴────────┐ │ cmd-worker │ │ cmd-worker│ │ cmd-worker │ │ (Codex)…from github.com

In the maker’s words, at launch

Hey HN. I built an AI agent harness over the past few months and I'm open sourcing it today. Some context on why. I've been building with Claude Code daily using this harness. It orchestrates multiple AI agents as a team, with a dashboard, chat, kanban board, the works. I used it to build a full SaaS product…

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  Agent 37Mar 2026 · agent37.com · ▲401

  Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?

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  AgentGridJul 2026 · agentgrid.sh · ▲77

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  Gambit, an open-source agent harness for building reliable AI agentsJan 2026 · github.com · ▲91

  Hey HN! Wanted to show our open source agent harness called Gambit. If you’re not familiar, agent harnesses are sort of like an operating system for an agent... they handle tool calling, planning, context window management, and don’t require as much developer orchestration. Normally you might see an agent orchestration framework pipeline like: compute -> compute -> compute -> LLM -> compute -> compute -> LLM we invert this so with an agent harness, it’s more like: LLM -> LLM -> LLM -> compute -> LLM -> LLM -> compute -> LLM Essentially you describe each agent in either a self contained…

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