Aug 28, 2026 · Artificial Intelligence

AgentLoop Data Flywheel Overview: Building a Closed Loop for Continuous Agent Optimization

This article walks through a 64‑minute hands‑on demo of AgentLoop’s data flywheel, showing how ingesting trace data, observing runs, auditing, building datasets, evaluating, experimenting, and populating an experience library form a closed loop that continuously improves AI agents, with reported 30‑40% time savings and 20‑47% cost reductions.

AI AgentAgentLoopcontinuous tuning

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AgentLoop Data Flywheel Overview: Building a Closed Loop for Continuous Agent Optimization

Sohu Tech Products

Aug 5, 2026 · Artificial Intelligence

MemoHarness: The Next Evolution of Agents Happens Outside the Model

MemoHarness proposes an Agent Harness that keeps the language model frozen while learning to adjust external control layers across six editable dimensions, showing measurable gains on terminal, code‑generation, and finance benchmarks but acknowledging limited scale, selective transfer, and cost dependencies.

AI agentsBenchmarkExternal Control

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MemoHarness: The Next Evolution of Agents Happens Outside the Model