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Harness Optimization

4 articles · Page 1 of 1

Sep 11, 2026 · Artificial Intelligence

openJiuwen Launches Dual-Dimensional RSI Framework for Self-Improving AI Agents

openJiuwen introduces a dual-dimensional Recursive Self-Improvement (RSI) framework that enables AI agents to automatically optimize both their tooling (Harness) and deliverables (research papers, algorithms) on the WorkSwarm platform, with compute-affinity scheduling on Ascend NPUs cutting latency and resource usage, validated by SWE-bench pass-rate gains from 61% to 87%.

AI agentsAscend NPUCompute Affinity

0 likes · 15 min read

openJiuwen Launches Dual-Dimensional RSI Framework for Self-Improving AI Agents

Machine Heart

Jul 31, 2026 · Artificial Intelligence

Claude Code vs. Hermes & Kimi Code: Up to 30× Token Consumption Difference

A comparative experiment using the same Kimi K3 model across three agent harnesses—Claude Code, Hermes, and Kimi Code—shows that while success rates are similar, token usage can differ by as much as thirty‑fold, dramatically affecting cost and latency.

AI agentsClaude CodeHarness Optimization

0 likes · 7 min read

Claude Code vs. Hermes & Kimi Code: Up to 30× Token Consumption Difference

AI Tech Publishing

Apr 8, 2026 · Artificial Intelligence

How Model, Harness, and Memory Enable Continual Learning for AI Agents

The article breaks down AI agent continual learning into three layers—model, harness, and context—explains their distinct challenges, shows how traces link them, and argues that focusing on harness and context yields faster, more practical improvements than merely retraining models.

AI agentsContinual LearningHarness Optimization

0 likes · 9 min read

How Model, Harness, and Memory Enable Continual Learning for AI Agents

PaperAgent

Apr 1, 2026 · Artificial Intelligence

How Meta‑Harness Revolutionizes LLM Harness Optimization with 10× Search Speed

Meta‑Harness introduces an external‑loop optimization framework that lets coding agents automatically search and improve large‑language‑model harnesses, achieving up to ten‑fold faster search, ten‑times token efficiency, and significant performance gains across text classification, math reasoning, and agentic coding tasks.

Harness OptimizationLLMMeta-Harness

0 likes · 11 min read