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Terminal-Bench 3 task for durable approval outboxes, exactly-once external effects, verifier hardening, and frontier-agent failure analysis.
Exactly-once external action execution for AI agents across crashes, retries, revocation, UNKNOWN outcomes, and audit-safe receipts..
A methodology and toolkit for turning agent-eval ideas into measurable task families: catch-set analysis, axis diversity scoring, mutant checks, and evidence-backed task selection.
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A structured course built from personal study notes of the book Linux Basics for Hackers by OccupyTheWeb.
A high-throughput and memory-efficient inference and serving engine for LLMs
Smart PVR for newsgroup and bittorrent users.
SGLang is a high-performance serving framework for large language models and multimodal models.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
LLM inference in C/C++
Curated collection of AI inference engineering resources — LLM serving, GPU kernels, quantization, distributed inference, and production deployment. Compiled from the AER Labs community.
Interact with and control an embedded Vimeo Player.
Linux kernel source tree
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
Open source factory for one-shot engineering
Here is a dlssg for RTX30 Series GPU
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Go-blueprint allows users to spin up a quick Go project using a popular framework