What AI engineers are building

Developers build and share AI agent frameworks, LLM models, and automation tools

5 deep dives · 2 builder stories · 14 quick hits · 320 items scanned

LLMAI AgentsAutomationRustTransformers

Deep dives

Hugging Face

LLMVideo GenerationDiffusion

MiniMaxAI/MiniMax-H3

The MiniMaxAI team has released MiniMax-H3, a model that generates videos from text prompts. This model is available on the Hugging Face model hub and has gained significant attention with over 26,000 downloads. The model uses diffusion-based image synthesis to generate videos.

Why it matters

MiniMax-H3 demonstrates the potential of AI in video generation, which can be applied to various fields such as entertainment, education, and advertising.

Try thisExperiment with the MiniMax-H3 model by fine-tuning it on a custom dataset to generate videos for a specific use case.

View on Hugging Face↗

GitHub

AI AgentsEvolutionary AlgorithmsMulti-Agent Systems

i3T4AN/KADATH

The KADATH project is an evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents. This open-source project provides a framework for developing and testing AI agents in a reproducible manner.

Why it matters

KADATH offers a unique approach to AI agent development, enabling the creation of more sophisticated and adaptive agents.

Try thisExplore the KADATH repository and try running the provided examples to understand how the framework works.

View on GitHub↗

GitHub

LLMGPU AccelerationReproducibility

ombori/deepseek-v4-flash-0731-sglang-4x-rtx-pro-6000

The DeepSeek-V4-Flash-0731 project provides a reproducible recipe for training and deploying LLM models on NVIDIA RTX PRO 6000 GPUs. The repository includes pre-built images and benchmarking tools.

Why it matters

This project enables developers to easily train and deploy high-performance LLM models on specific hardware configurations.

Try thisUse the provided recipe to train and deploy an LLM model on an RTX PRO 6000 GPU and experiment with different hyperparameters.

View on GitHub↗

GitHub

LLMInference EngineRust

antonellof/ferrox

Ferrox is a Rust-based GGUF inference engine that supports quantized CPU, Metal, and CUDA kernels. The project provides a benchmarked head-to-head comparison against llama.cpp.

Why it matters

Ferrox offers a high-performance inference engine for LLM models, which can be used in various applications such as natural language processing and computer vision.

Try thisExperiment with Ferrox by integrating it into a project that requires high-performance LLM inference.

View on GitHub↗

Hacker News

AI AgentsProductivityWorkflow Management

agent-hop

Agent-hop is a tool that allows users to search and resume chats across multiple coding agents. The project provides a solution to the problem of managing multiple agent sessions.

Why it matters

Agent-hop demonstrates the potential of AI in improving developer productivity and workflow management.

Try thisTry using agent-hop to manage multiple agent sessions and explore its features.

View on GitHub↗

What people actually built

Hacker News