Higgsfield introduced Supercomputer, a cloud-native self-learning AI agent running on an enhanced Hermes Agent framework. The system includes over 40 built-in tools and three memory layers. Users submit plain-language tasks through a browser or Telegram interface. Supercomputer routes subtasks across models such as GPT-5.5, Claude Opus, Gemini, Seedance, Veo, and Kling, then executes steps in parallel to deliver finished outputs including video and reports.
Robert Scoble#447
Introducing Higgsfield Supercomputer
The first ever cloud-native, self-learning AI agent for end-to-end task execution.
40+ built-in tools. Three layers of memory. Access via browser or Telegram.
Powered by enhanced Hermes Agent.
Positive users praise Higgsfield's new cloud-native AI agent with 40+ tools for its innovative capabilities and creative potential, while negative users criticize it as too expensive or a rebranded tool.
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I've been testing Higgsfield's Supercomputer for the past few days, and it genuinely caught me off guard.
You type a task in plain language. The system picks from 61 production skills, routes each sub-task to the best available model (GPT-5.5, Claude Opus, Gemini, Seedance, Veo, Kling, and more), runs them in parallel, and delivers finished assets.
I pointed it at my own X post analytics, expecting something generic.
It came back with senior-analyst-grade breakdowns: median engagement rates, hook score analysis, content pattern detection. Properly useful output, not a summary paragraph.
A few things that really surprised me:
- It generates up to 60 (!) minutes of video from a single prompt - Native Obsidian integration for persistent knowledge (the "LLM wiki" concept Karpathy floated recently, already shipping, and which I was building myself just recently) - 27 platform connectors (Slack, Drive, Notion, YouTube, Frame. io, the full stack) - Brand and identity locks persist across sessions, so your outputs stay consistent over time - Skills actually improve with use, version-tracked and eval-tested
The whole thing runs cloud-side on GPU-colocated infrastructure, which means generations keep running even if you close the browser. Scheduled tasks just work without a local machine.
How Supercomputer works:
1. Access via browser or Telegram. No local setup 2. Describe your task 3. Orchestrates LLMs and image/video models. 4. Analyzes videos and audio thoroughly 5. Executes tasks end-to-end with 40+ tools 6. Learns from every run. Gets better on its own
https://higgsfield.ai/supercomputer-intro
How it works:
> No local hardware. Runs in your browser or Telegram > Orchestrates every major LLM and image/video model > Gets smarter with every task you run > Built-in skills for Seedance, GPT Images 2.0, Nano Banana
@higgsfield So you can basically burn through all your usage in one day or are you making it more affordable for people to use?
@higgsfield Higgsfield is shipping hard man..AI agents are really the next big thing..been having fun having agents on @uphivexyz complete tasks for me, will def. try this out too and drop a review
Gud tek
@higgsfield Higgsfield is shipping hard man…AI agents are really the next big thing tbh….I’ve been having fun with AI agents on @uphivexyz by having them complete tasks for me, will def. try out this too and give a review.
Check it out https://higgsfield.ai/supercomputer
I've been testing Higgsfield's Supercomputer for the past few days, and it genuinely caught me off guard.
You type a task in plain language. The system picks from 61 production skills, routes each sub-task to the best available model (GPT-5.5, Claude Opus, Gemini, Seedance, Veo, Kling, and more), runs them in parallel, and delivers finished assets.
I pointed it at my own X post analytics, expecting something generic.
It came back with senior-analyst-grade breakdowns: median engagement rates, hook score analysis, content pattern detection. Properly useful output, not a summary paragraph.
A few things that really surprised me:
- It generates up to 60 (!) minutes of video from a single prompt - Native Obsidian integration for persistent knowledge (the "LLM wiki" concept Karpathy floated recently, already shipping, and which I was building myself just recently) - 27 platform connectors (Slack, Drive, Notion, YouTube, Frame. io, the full stack) - Brand and identity locks persist across sessions, so your outputs stay consistent over time - Skills actually improve with use, version-tracked and eval-tested
The whole thing runs cloud-side on GPU-colocated infrastructure, which means generations keep running even if you close the browser. Scheduled tasks just work without a local machine.
@higgsfield
@higgsfield Can i make a motion video like this?
@TanbinFi @higgsfield I JUST FUCKING DID ONE FROM ONE PROMPT 🤯
@TanbinFi @higgsfield I haven’t used Higgsfield - but @HeyGen is 👨🍳😘 Hyperframes and HeyGen apps built into Codex and I believe Claude! Recent stuff went in for html-in-canvas and more, so the possibilities are endless!
This is a great ad but here’s something you could’ve done better: You put out too many features for a user to understand (overload). Now i don’t actually remember what all features did you add, just that an agent can do everything.
A good GTM/ launch strategy would be something that anthropic does, small hard hitting features, but weekly or monthly. What it does is, keeps the hype, makes people think higgs is being consistent and no overload.
Also the background sounds were a bit too much, but super cool product, love it!
@TanbinFi @higgsfield superb motion work, lots going on but not too overwhelming. AI will never reach this level of perfection with prompts I think.
@pwealthydad @higgsfield Smart tweet that sums up the main problem with AI.
This will be so expensive to use that it will end up being as expensive as traditional production.
@higgsfield Let'ssss gooooo Adil.... 🥳
@shashcricbuzz @TanbinFi @higgsfield Make me a 15s motion graphics for aurastudio com with dark futuristic 3d graphics, make cool transitions, don’t break the text
@higgsfield Essence of Persia 💦 Higgsfield SuperComputer 🫶🏻 10/10
@higgsfield What's his name?
@pwealthydad @higgsfield Canvas = no unlimited button? Supercomputer = now charging credits for what was free LLM? Nano Banana2 no longer unlimited either.
Token usage going up and up...
@higgsfield @Scobleizer MCP plus Hermes Agents is not a supercomputer. But super useful and will be connected to http://Skil.ski