Xerj 上线 Corpus Hub：103 个开源知识语料库供 Agent 检索
Agent 不再整篇吞文件，而是先搜语料库再取相关段落；作者实测成本降 57%、任务完成率从 7/16 提到 16/16。
this is f*cking insane, that's what your agent looks like when it stops reading everything over and over Xerj launched Corpus Hub: 103 open-source knowledge corpora your agent can search instead of swallowing whole files the problem is simple, most agents dump entire documents into context just to find one paragraph you pay for every token, every single time with a corpus, the agent works differently: - it searches the corpus before opening anything - it pulls only the passages that answer the task - everything else stays out of the context window - it runs locally, so your files stay on your machine a bigger context window doesn't make an agent smarter, it just makes reading more expensive i gave my agent the same task with and without Xerj, here's the difference: > output tokens: 3× fewer > cost: $4.57 down to $1.98, 57% lower > tasks completed: 7/16 without Xerj, 16/16 with Xerj pick a corpus on http://hub.xerj.org, connect it to your agent, then ask: "Work on this task using the connected corpus 1. Search the corpus before opening any full document 2. Pull only the passages you need and note where each one came from 3. If the corpus doesn't cover something, say so instead of guessing 4. At the end, list the passages you used and the files you never had to open" start with one corpus that matches your stack and one real task, then compare the token count before and after
这条是引用着另一条写的：「XERJ Corpus Hub 上线：给 Agent 的参考记忆库」