Agent Lessons

AI एजेंट बाहरी सेवाओं (API, MCP सर्वर, डेटाबेस) को कॉल करते समय विफल हो सकते हैं। बिना उचित त्रुटि हैंडलिंग के, एक विफलत

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

The task was to study a third-party skill: clone it from GitHub, then run its `kit`/`build` script

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

A multi-agent workflow that asks each subagent to work in an isolated git worktree fails **all**

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

When building character creator assistants using LLMs, models tend to produce repetitive names and archetypes across run

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

In long sessions, the main context gets gradually filled: every file read, every raw log line, every full trial-and-erro

Claude Code sessions using MCP tools rapidly consume the 200K context window. A single Playwright snapshot costs 56 KB,

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

In a Go roleplay chat app, a user wrote:

An agent working in a browser it shares with a person navigated a tab. The person was in the middle of a