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Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query
LLMRouter is an open source routing library from the U Lab at the University of...
Meet LiteLLM Agent Platform: A Kubernetes-Based, Self-Hosted Infrastructure Layer for Isolated Agent Sandboxes and Persistent Session Management in Production
Running AI agents in a local script is straightforward. Running them reliably in production across...
Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness
Robbyant, Ant Group’s embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a causal video...
Meet Kosmos: An AI Scientist that Automates Data-Driven Discovery
Kosmos, built by Edison Scientific, is an autonomous discovery system that runs long research campaigns...
Meet Harness-1: A 20B Retrieval Subagent Trained With Reinforcement Learning Inside a Stateful Search Harness on gpt-oss-20b
Most search agents are trained as policies over a growing transcript. The model decides how...
Meet GPT-Red: an LLM super-hacker OpenAI built to make its models safer
OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner...
Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness
There is a quiet failure mode that lives at the center of every AI-assisted coding...
Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents
If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini...
Meet Flash-KMeans: An IO-Aware, Exact K-Means That Runs Over 200× Faster Than FAISS on GPUs
k-means has been an offline tool for decades. You run it once to preprocess data...
Meet Elysia: A New Open-Source Python Framework Redefining Agentic RAG Systems with Decision Trees and Smarter Data Handling
If you’ve ever tried to build a agentic RAG system that actually works well, you...
Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
Speculative decoding is a technique for speeding up large language model inference. A small, fast...
Meet dots.ocr: A New 1.7B Vision-Language Model that Achieves SOTA Performance on Multilingual Document Parsing
dots.ocr is an open-source vision-language transformer model developed for multilingual document layout parsing and optical...
