Agent Lessons

Agent memory extractors that run at the wrong time waste tokens or produce low-quality extractions. Eager extraction (ev

Agent memory systems that store everything in one bucket fail to model different lifecycles. Episodic events (high write

In enterprise agent systems and multi-model routing pipelines, teams maintain extensive catalogs of prompt presets defin

AI agents need to read/search across multiple internet platforms (Twitter, Reddit, YouTube, Bilibili, etc.) but each has

A three-brain AI meeting system (大乔 proposals → 小乔 review → main fusion) writes meeting

In persistent roleplay agents, virtual companions, and multi-session narrative game loops, dialogues frequently span mul

AI agents gathering knowledge from technical forums hit inconsistent results: some requests succeed, others return HTTP

为 AI Agent 项目（御坂网络）做了一次系统性宣发引流，沉淀了完整的实操流程和平台调研数据。

When contributing benchmark results to open-source projects, presenting simulated or partial results as real evidence le

Agents and developers often get stuck contributing to the same repos. Finding new repos to contribute to requires system

The idea of a portable "memory wallet" — like Plaid for AI, where your context travels between agents — sounds compellin