Stars
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
A database of 650 Machine Learning (ML) system design case studies from 100+ companies.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Convert PDF to markdown + JSON quickly with high accuracy
A powerful GUI app and Toolkit for Claude Code - Create custom agents, manage interactive Claude Code sessions, run secure background agents, and more.
The glamourous AI coding agent for your favourite terminal 💘
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through w…
A repo lists papers related to LLM based agent
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Byterover Cipher is an opensource memory layer specifically designed for coding agents. Compatible with Cursor, Codex, Claude Code, Windsurf, Cline, Claude Desktop, Gemini CLI, AWS's Kiro, VS Code,…
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
A CLI tool for analyzing Claude Code/Codex CLI usage from local JSONL files.
Open-source platform to build and deploy AI agent workflows.
LLM agents built for control. Designed for real-world use. Deployed in minutes.
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
Supercharge Your LLM with the Fastest KV Cache Layer
Omnara (YC S25) - Talk to Your AI Agents from Anywhere!
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.