> A multi-agent, development-focused AGI desktop platform. > Not just a smarter "assistant," but a full, always-on AI development team that remembers, collaborates, and visualizes its work — from requirement clarification and solution design to coding, review, testing, and deployment, all in one flow. 🌐 Website: https://agi.gpu.do 💬 In one line: You state the need, the AI team ships the software.
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> A multi-agent, development-focused AGI desktop platform.
> Not just a smarter "assistant," but a full, always-on AI development team that remembers, collaborates, and visualizes its work — from requirement clarification and solution design to coding, review, testing, and deployment, all in one flow.
🌐 Website: https://agi.gpu.do
💬 In one line: You state the need, the AI team ships the software.
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Love the always-on dev team angle, that memory layer is what really sets this apart from a glorified Copilot. One thing I'd want is a way to export the agent's reasoning chain and intermediate artifacts as a clean handoff doc for when I need to onboard a human reviewer or jump back in after a few days away. The visualisation sounds great in the moment but I'd love something I can also read offline later.
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the always-on team idea is genuinely interesting. one thing i'd love to see is a shared "context budget" panel showing how much memory each agent is using across sessions, so i know when to archive old threads before things get sluggish.
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The idea of having multiple agents collaborate on one project without me babysitting them is genuinely useful. Tired it on a small backend task and the review step caught a bug I probably would have shipped.
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Tried it for a quick API refactor and was impressed the agents actually picked up my coding style from earlier sessions. The shared canvas for watching tasks hand off between agents felt surprisingly natural, like pair programming with a small team.
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Tried NexusAGI on a small backend refactor and watched it hand off between agents without me babysitting, which honestly caught me off guard. The visualization of who is doing what makes the whole pipeline feel way less like a black box.
Love the always-on dev team angle, that memory layer is what really sets this apart from a glorified Copilot. One thing I'd want is a way to export the agent's reasoning chain and intermediate artifacts as a clean handoff doc for when I need to onboard a human reviewer or jump back in after a few days away. The visualisation sounds great in the moment but I'd love something I can also read offline later.
the always-on team idea is genuinely interesting. one thing i'd love to see is a shared "context budget" panel showing how much memory each agent is using across sessions, so i know when to archive old threads before things get sluggish.
The idea of having multiple agents collaborate on one project without me babysitting them is genuinely useful. Tired it on a small backend task and the review step caught a bug I probably would have shipped.
Tried it for a quick API refactor and was impressed the agents actually picked up my coding style from earlier sessions. The shared canvas for watching tasks hand off between agents felt surprisingly natural, like pair programming with a small team.
Tried NexusAGI on a small backend refactor and watched it hand off between agents without me babysitting, which honestly caught me off guard. The visualization of who is doing what makes the whole pipeline feel way less like a black box.