「万字总结」- 我偷来了一份成为 Agent 工程师的学习线路
我之前面试了一家做 AI + web3 业内比较厉害的公司，但是没有通过吧，面试之后面试官给我了一份《Agent工程师入门指南》。我把它整理了一下，分享出来给大家提供参考，这是一份很详细很详细的、关于如何成为 Agent 工程师的文档，并且补充上我自己的学习心得当时给我的答复是 ...
Topic
#RAG
13 篇笔记
From rg to zg: Local Search Beyond Keywords
Summary: The information humans and agents need is often scattered across large numbers of local files, making it difficult to locate accura...
Memory Is a Compiler
tl;dr: Memory preserves the past in a form meant to be useful in the future, then recompiles what that past means as new evidence and new qu...
From context to dreams: architecting memory for AI agents
Have you ever felt that every conversation you have with an LLM across sessions feels like starting over from scratch? LLMs have a problem: ...
The AI Engineering Skills Map
I am delighted to present The AI Engineering Skills Map. AI allows us to build software very differently today than in 2022, and everyone wi...
The State of Agent Wikis
In April 2026, Andrej Karpathy published a GitHub Gist describing a pattern he called the LLM Wiki.In the months since, four different teams...
How we built our knowledge base
Authors: @hi_im_isaac_, @learnwdaniel, @gaozenghaonote: the interactive version of full technical blog available: https://www.cerebras.ai/b...
Your KV Caching Is Broken
A practitioner's guide to KV cache management. How a modern caching architecture cuts input token costs by 90% and speeds up LLM inference b...
The 7 Types of Agent Memory: A Technical Guide for AI Engineers
Agent memory explained: the 7 types — working, semantic, episodic, procedural, retrieval, parametric, prospective — and when to build each.
Complete Map of Graph Technology 2026: 128 Products, 7 Categories
The complete guide to graph databases, knowledge graphs, GraphAI, and more. 7 categories, 128 graph technology products, 113 vendors
Building Reliable Agentic AI Systems
AI helping pharmaceutical researchers query decades of information buried in PDF reports
Faking a Filesystem For your Agent: PostgresFS
Faking a filesystem for your agent: why PostgresFS lost to a skillCo written by @SufjanFana Working with agent harnesses, it is hard not to ...
We broke the frontier in agent memory: Introducing ~99% SOTA memory system.
Supermemory 团队发布 ASMR (Agentic Search and Memory Retrieval) 技术，在 LongMemEval 基准测试达到 ~99% 准确率，无需向量数据库或嵌入