AI Tech Publishing
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 Learningcontext memory
0 likes · 9 min read
How Model, Harness, and Memory Enable Continual Learning for AI Agents
PaperAgent
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.

LLMMeta-HarnessRetrieval-Augmented Math
0 likes · 11 min read
How Meta‑Harness Revolutionizes LLM Harness Optimization with 10× Search Speed