Omadia: A Self-Hostable Agentic OS for Multi-Agent AI Teams
Omadia is a self-hostable agentic operating system designed for building, running, and auditing multi-agent AI teams. It supports signed plugins, allows users to bring their own LLM keys, and emphasizes data ownership with EU/GDPR readiness.
SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?
A new benchmark, SWE Refactor Bench, has been introduced to evaluate the ability of coding agents to perform complex, whole-repository software migrations. Existing benchmarks are insufficient as they do not verify if the migration actually occurred, allowing agents to pass tests by copying original code. This benchmark addresses that gap by assessing both migration completeness and behavioral correctness.
Import Setup and Recent Work from Other Agents
OpenAI has updated its developer tools to allow importing setup and recent work from other agents. This feature aims to streamline the workflow for developers using OpenAI's agent-based systems.
Codex CLI Update to 0.149.1
OpenAI has released version 0.149.1 of its Codex CLI tool. This update is part of ongoing maintenance and improvements to the command-line interface for interacting with Codex models.
Wire It, Run It, Deploy It: AI Workflows in Gradio
This guide from Hugging Face explores building and deploying AI workflows using Gradio. It covers the process from initial setup and execution to final deployment, offering practical insights for developers.
OpenAI Report: AI Enhances Continuous Learning
A new report from OpenAI details how students and educators are leveraging ChatGPT to foster continuous learning. The findings highlight AI's role in providing educational support that transcends traditional classroom boundaries.
4DAnyone: Framework for 4D Human Reconstruction from Monocular Video
Researchers introduce 4DAnyone, a framework designed to reconstruct 4D humans from uncalibrated monocular videos. It addresses limitations in existing video diffusion models by generating consistent multi-view videos that are then lifted into 4D Gaussian Splatting (4DGS).
Agentic Workflow for Travel Behavior Prediction with Multimodal LLMs
This research introduces a three-agent workflow that integrates conversational data collection, structured data processing, and behavioral prediction for travel behavior analysis. The study evaluates nine locally deployed LLMs, including multimodal configurations, against traditional machine learning models.