Tech News
DeepSeek Harness developer preview
DeepSeek released an early developer preview of DeepSeek Harness, an open-source (MIT-licensed) tool for building and evaluating AI agents, featuring full traceability of model interactions via append-only session logs.
llm-gemini 0.33
It's been a while since the last llm-gemini release.
Monitor on-premises and multi-cloud AI agents with AgentCore Observability
Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines.
The builder’s guide to GPT‑5.6
Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
Strands Agents, LeRobot, and Hugging Face Storage Buckets now enable recording, training, and deploying AI agents from a single platform.
GitHub Repos
ruvnet/ruflo
🌊 The original agent meta-harness.
# TypeScript# agentic ai# agentic frameworkhesreallyhim/awesome-claude-code
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at...
# Python# agent skills# agentic codejgravelle/jcodemunch-mcp
Cut AI token costs 95%+ on code exploration.
# Python# ai coding# ai toolsResearch Papers
A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization
This paper proposes a hybrid optimization method where an LLM proposes a structural sketch with numeric gaps, and a separate numerical optimizer fills in the gaps, improving efficiency over pure LLM-driven search.
MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning
This paper introduces MOON, a method for multi-task learning that adjusts gradients in a way that respects the matrix structure of neural network parameters, leading to faster and better optimization compared to existing methods.
VALG: An Agentic System for ML Theory Research
This paper introduces VALG, an AI agent that helps researchers do machine learning theory work by automatically formulating problems, checking proofs, and building them step-by-step. It's like a smart assistant that keeps track of the logical structure and verifies each part...