HAR
Product Hunt Karim Traiaia
A new open-source tool called HAR just launched on Product Hunt. It's a harness for running multiple AI coding agents together instead of just one.
Based on reporting by Product Hunt, Karim Traiaia — read the original for the full story.
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Multi-agent coding is having a moment, and HAR is the latest entrant trying to give it some structure. Billed simply as an open-source harness for multi-agent coding workflows, it landed on Product Hunt without much fanfare, but the pitch is clear enough: instead of babysitting a single AI assistant through a coding task, you orchestrate several agents working in concert.
The idea isn't new, exactly. Anthropic, OpenAI, and a swarm of startups have all been poking at the same problem this year: one model writing code is fine, but a team of specialized agents, one planning, one writing, one reviewing, can catch more bugs and move faster on bigger tasks. What's been missing is the plumbing. Harnesses like HAR exist to solve that unglamorous but essential layer, the part that decides who talks to whom, who gets which file, and what happens when two agents disagree about how to fix the same function.
Being open source matters here more than it might for a flashier product. Developers building agent workflows have gotten burned before by proprietary orchestration layers that lock them into a specific model vendor or pricing tier. A harness that's inspectable and forkable lets teams swap in whichever underlying model they trust, and tweak the coordination logic without waiting on a vendor's roadmap.
What's not clear yet, at least from the Product Hunt listing, is how HAR handles the messier parts of multi-agent work: conflict resolution, context sharing across agents, and cost control when you've suddenly got three or four models running instead of one. Those are the details that separate a clever demo from something teams actually keep using six months in. For now, it's early, it's open, and it's one more sign that solo AI coding assistants are starting to feel like last year's idea.
My take — AI-written commentary, not fact-checked reporting
Multi-agent tooling is quickly becoming the new arms race in AI coding, and half these projects will quietly die once someone realizes running four agents costs four times as much for marginal gains. The ones worth watching are the open-source ones like this, since at least the community can pick through the wreckage and keep the useful parts instead of losing everything to a shuttered startup.
Read more about this at: Product Hunt