The components of agent memory
For Claude to learn from experience, it has to decide what’s worth remembering before it knows what’s next. Here’s how “dreaming” helps it organize memory and correct mistakes.
Topic
#Claude-Opus
9 篇笔记
Lemo-Opuscar 史诗级更新：8种新风格+新改编玩法，我把风格库变成了风格制作工具箱
Hello 大家好，我是lemomo。这次 Lemo-Opuscar 迎来了上线以来最大的一次更新，不光有新的风格，还有新的玩法，整个项目定位从【视频风格库】变成【搭建自己风格库的工具】。新增【剪辑与纪实】8 种风格，目前从最早的39种已经更新到了59种。未来会继续更新，我的目标...
LLMs are making formal software verification feasible at a much larger scale
Claude formally proved security properties in the compiled code of 123 open-source libraries. Along the way, it found bugs that had eluded detection for years.
来自 every 的自我批评，不应该让每个员工一个 Agent
Every 是一家做 AI 应用和内容的公司，最近把自己用了半年的企业 Agent 公开，同时批评自己之前的做法：受 OpenClaw 的影响，Every 为员工每人一个 agent，但在实践过程中，发现了在「维护」层面产生了诸多的问题，导致这种方法不可持续。它的联合创始人兼 C...
Designing Loops for Production-Grade Work
What became standard practice after vibe-coding a production-grade BPE tokenizer trainer without reading a single line of code.
Optimizing for cost and intelligence
Balance cost and intelligence on the Claude Platform, with measured results for prompt caching, effort, model choice, budgets, and multi-model strategies.
The new rules of context engineering for Claude 5 models
I’ve written previously about how to best prompt the newest generation of Claude 5 models and work with them iteratively to discover what yo...
How to Build AI Agent Swarms (Complete Guide)
This is a complete A–Z breakdown of AI Agent Swarms what they are, how to use them.Why they change everything about how you work with AI.B...
Editing Files at 1000 Tokens per Second
A new model and inference method for high-accuracy full-file edits at 1000 tokens/s.