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Jiayuan (JY) Zhang
@jiayuan_jy
Building @MulticaAI. Ex-@devv_ai. Ex-@tiktok_us.
1.3K Following    119.4K Followers
A very detailed explanation and setup video for @MulticaAI. If you're using Claude Code, Codex, or the @NousResearch Hermes Agent, you can follow this video to set up your workspace. It's very easy. You don't need to do this manually. Just tell your agent: "Help me set up Multica for xxx"
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You could use a Kanban board to manage all your agent tasks.
This is my desktop now. I have 7 random text edits holding prompts for my agents for different situations. Surely, this is not the future and a sign of how early it is.
Which runtime should we add next?
Introducing Multica A harness for managing all your harnesses.
@DimAgentai is officially supported by @MulticaAI . Now you can use dim and dim model provider in multica. We set an automatic goal to let dimagent run in one week to integrate itself into multica. Pretty much thanks to @jiayuan_jy and Multica community.
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I wrote a tutorial on how to use @MulticaAI for scientific research. Multica is an open source agent-first project management platform that gives you an army of agents you can delegate tasks to. It's like having your own team of scientists and researchers. Read the tutorial to get started:
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Handing work between agents without losing everything in the process is crucial. We connected our Scientific Agent Skills library to Multica, an open-source agent task board. Ran a real ALS (Lou Gehrig's disease) trial analysis end to end: 478 records pulled, 3 false positives caught, ~$7 total.
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We kept losing messages that still needed a reply. Customer questions lived in WhatsApp groups, support requests in Intercom, and internal follow-ups were buried first in Discord, then Buzz. The problem wasn’t that nobody cared. We simply had no reliable way to see what was actually still open. When we moved our internal communication from Discord to Buzz (@blocks), I didn’t want to carry the same problem into another tool. So I built a shared 📥 Team Inbox in @MulticaAI. In the background, it checks Buzz, WhatsApp groups and Intercom every two hours. Rules identify potentially unanswered conversations. Then AI decides whether they actually need a reply, can be ignored, or need human review. Our first WhatsApp scan found 25 technically overdue group chats. Only 9 actually needed a reply. 12 required no action and 4 needed review. Each relevant conversation becomes one Multica card with the owner, recent context, the open message highlighted and a link back to the source. The automation checks every two hours. Our team doesn’t. Once a day, during our morning standup, we open the Team Inbox together, resolve or assign the remaining items, and move on. It takes about five minutes. We still reply in the original tools. The system only maintains a filtered queue of what remains unresolved and closes each card automatically once someone responds. That five-minute check closed the gap without adding another inbox everyone has to monitor.
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New tutorial from our team on how to use @MulticaAI with Scientific Agent Skills as a team of AI co-scientists. Read this tutorial by our CTO, @TimothyKassis, and let us know what you think:
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FYI, this is the changelog page of @MulticaAI.
Introducing Multica A harness for managing all your harnesses.
Introducing Multica A harness for managing all your harnesses.
Introducing Multica A harness for managing all your harnesses.
That's why we built @MulticaAI.
The problem with “AI teammates” (e.g. Grokbot, Claude tag, Devin) is that I actually don't want to interact with more people (real or virtual) in order to do my job better. I want the opposite actually. I want to automate work, not have more conversations, so that I can focus, and so stuff gets done without me having to constantly guide it. The goal of AI tooling should be automation, not interaction.
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I spent the last few days moving my workflow to Hermes Desktop App. Before that, I tried recreating the Codex/Claude Code app experience in CMUX, but never found a setup I was happy with. I manage three companies, and Hermes gives each one a separate profile. Since I can extend the app myself, I added a sidebar with my Multica issues and notifications from Multica and Buzz. When I select an issue, its context goes straight into the chat. Maybe not a game changer for every developer, but for how I use AI across small projects, marketing, and project management, it definitely is. The goal: run most of my work from one app. Now I’m just waiting for mobile.
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DeepSeek Harness developer preview is out!
DeepSeek Harness was just released with MIT license. The current 0.1.0 version is a developer preview, and may still have many rough edges. Feedback is welcome! DeepSeek Harness 已经以MIT协议开源发布。现在的0.1.0版本是一个面向Harness开发者的预览版,还很不完善。恳请大家多提提宝贵意见。
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Build your agent factory with @MulticaAI.
holy sh*t this is f**king gold a GitHub free repo with 42,600 stars just gave out the entire framework to run your entire business using ai agents 9 steps to build a fully ai-native business intent → issue → agent → runtime → execute → observe → verify → compound into a skill → rerun on cron. save and bookmark no matter what
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DeepSeek V4 Flash is live!
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta! 🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇 🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex! Check out the configuration details in our official API docs:
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I have been testing Opus 5 all day. TBH, I didn't notice any "significant" improvements. It just does the work like gpt 5.6 sol and Opus 4.8.
Hey @masumparvej_, hugeicons is amazing! I'm considering using it in our open-source project (multica-ai/multica, 41k stars). As an open-source project, there are many external contributors, so which license should we buy?
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I found something... 53.4 > 53.5
Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.