Tag
Continual Harness is a reset-free, self-improving agentic harness that achieves 20.54% on ARC-AGI-3 at a cost of $774 by storing memories, reusing skills, and refining its prompt, outperforming prior baselines like Hermes and OpenClaw with greater efficiency.
GitHub benchmarked its Copilot agentic harness against model-vendor harnesses, finding comparable task resolution with fewer tokens across multiple benchmarks, highlighting Copilot's support for over 20 models.
Dirge is a Rust-based agentic harness that helps smaller AI models punch above their weight by reducing memory footprint and intelligently managing errors, context, and tool calls, closing the performance gap with frontier models.
An educational deep dive into recursive language models (RLMs), explaining what they are, why they are winning long-context benchmarks, and how they differ from existing agentic harness designs like ReAct or CodeAct, using a simple case study.
HeavySkill is a new framework that internalizes complex reasoning as an intrinsic model skill through parallel reasoning and summarization stages, outperforming traditional orchestration methods and enabling self-evolving LLMs via reinforcement learning.