Introducing Strands harness, a new open-source agent harness that delivers frontier performance with 28% lower token cost compared to other harnesses like Claude Code, supporting multiple AI models and easy deployment.
The author has open-sourced Jev Decisions v1, a dataset of 12 million examples for training AI models on agentic decisions like tool selection and routing, to address data gaps in agent decision-making.
The author shares initial ideas for using Jev and Pi to build a custom harness, focusing on gates, routing, and verifiers, with plans for deeper exploration in follow-up posts.
This article is a tutorial on building a custom AI agent harness using the Pi SDK and Jev, a small decision model for efficient tool call handling and checks in agent loops.
The article examines the complexities of aliasing in type systems for programming languages, using Futhark's in-place updates as an example, and warns about the design challenges it can introduce.
Bonsai-Llama-Jev is an open-source, vision-enabled typed-decision inference system that runs locally with low VRAM and high accuracy, outperforming other systems in a diverse benchmark.
A user tests the Qoder AI agent tool to automate competitor tracking, which plans research, runs parallel tasks, and compiles structured reports, while mentioning Qwen3.8-Flash and a promotional credit offer.
Survey Design Consultant is an AI agent that converts research objectives into bias-audited questionnaires with item-level audits and validated instrument recommendations for defense-ready surveys.
Webcmd is a self-learning browser infrastructure for AI agents that learns website navigational contexts to reduce token spend and improve automation reliability.
WebCMD provides memory for browser agents like Chrome, saving site paths to avoid repeating mistakes and reducing token waste. It was tested on Reddit and ranked as the most accurate and cheapest per task in BU Bench V1.
Java Coding Assistant is an AI agent that helps developers ship production-grade Java code for Spring, Jakarta EE, and JVM systems, supporting Java 8–21 with features like session memory for consistency.
A new technique called JEVfire enables existing LLMs like Qwen to behave more like Jev by modifying decision-making processes without retraining, resulting in significantly faster JSON generation and enabling local AI agents to run efficiently on consumer hardware.
Open-sourcing Audio8 ASR Infinite, a speech recognition tool with ultra-low latency, unlimited audio support, 24/7 transcription, and built-in semantic turn detection, claimed to be new state-of-the-art for streaming ASR.
OpenTrainDNN is an open-source, client-side web application that provides real-time visualization of deep neural network training, including backpropagation and weight updates, directly in the browser.
A REPL environment for interacting with the Z80 microprocessor, likely used for development or emulation purposes.
This article describes using DSPy code to generate choice-based JEV decision training data from raw text, highlighting the cost-effectiveness with cheap models like gpt-6-luna and deepseek-v4.1-flash.
OpenAI introduces MentalHealthBench, an open benchmark for evaluating AI responses in mental health conversations, co-created with over 80 mental health experts to measure safety, context, agency, and guidance.
This article shares the workflow for creating a 3D game in Codex using GPT 6-Sol, highlighting the challenges in character modeling and large scene assets.
Stuntd is an open-source local proxy that records LLM decision calls, trains a lightweight model to handle them locally, reducing costs while maintaining high agreement with the teacher model.
Redis LangCache is a semantic caching tool that reduces LLM costs by up to 70% by storing and reusing similar question-response pairs, making AI applications faster and more cost-effective.