LLM HUB

What it does

Orchestrate multiple AI models in one prompt. Synthesized results from GPT-5, Claude, Gemini & 20+ others. Get better answers through AI collaboration

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  Prompt Engine – Auto pick LLMs based on your prompts2024 · jigsawstack.com · ▲93

  Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…

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  All AI Think2025 · allaithink.com · ▲12

  Multiple AIs. One question. Smarter answers together.

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  Improve LLM Performance by Maximizing Iterative Development2024 · github.com · ▲104

  I have been working in AI space for a while now, first at FAANG with ML since 2021, then with LLM in start-ups since early 2023. I think LLM Application development is extremely iterative, more so than any other types of development. This is because to improve an LLM application performance (accuracy, hallucinations, latency, cost), you need to try various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, different agent architecture, and more. There are thousands of possible combinations and you need a process…

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  LLM Prompt & Model Playground2024 · ▲89

  Test LLM prompts & models side-by-side against many inputs

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  20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53

  Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

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  bandleader.ai2025 · bandleaderai.educatedapp.com · ▲6

  Determines the best answer for you across multiple LLMs

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  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

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  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

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  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 19d ago · tej.as

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  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

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  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 29d ago · world.pixverse.video

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  Hemory▲381

  Keep listening. Searchable memory for your AI agents.

  AI · 30d ago · hemory.com

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  Cursor 2.0▲957

  Our first coding model and new interface for agents

  AI · Oct 2025 · cursor.com

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  Flask▲806

  Notion + Loom, for video collaboration.

  AI · 2025 · flask.do

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  Strange Attractors▲804

  I went down the rabbit hole on a side project and ended up building this: Strange Attractors(https://blog.shashanktomar.com/posts/strange-attractors). It’s built with three.js. Working on it reminded me of the little "maths for fun" exercises I used to do while learning programming in early days. Just trying things out, getting fascinated and geeky, and being surprised by the results. I spent way too much time on this, but it was extreme fun. My favorite part: someone pointed me to the Simone Attractor on Threads. It is a 2D attractor and I asked GPT to extrapolate it to…

  AI · Oct 2025 · blog.shashanktomar.com

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  Orchestra▲793

  A chat-centric workspace for builders and modern teams

  Work · 2025 · orch.so

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  Autism Simulator▲779

  Hey all, I built this. It’s not trying to capture every autistic experience (that’d be impossible). It’s based on my own lived experience as well as that of friends on the spectrum. I'm trying to give people a feel for what masking, decision fatigue, and burnout can look like day-to-day. That’s hard to explain in words, but easier to show through choices and stats. I'm not trying to "define autism". I’ve gotten good feedback here about resilience, meds, and difficulty tuning. I’ll keep tweaking it. If even a few people walk away thinking, "ah, maybe that’s why my coworker struggles in those…

  Life & fun · 2025 · autism-simulator.vercel.app

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  Director▲768

  Lovable for web automation

  AI · 2025 · director.ai