# Lossless为OpenClaw实现"无限"上下文记忆

- 来源：Peter Steinberger 🦞 (@steipete)
- 发布时间：2026-05-16 22:35
- AIHOT 分数：57
- AIHOT 链接：https://aihot.virxact.com/items/cmp8gfqpu0iesslnz5a0hiwwy
- 原文链接：https://x.com/steipete/status/2055658429645983756

## AI 摘要

Lossless为OpenClaw引入了一个实现“无限”上下文窗口或记忆的有趣概念。其核心机制是将对话内容压缩成可引用的数据块，并构建树状结构以检索历史信息。最新发布的lossless-claw 0.10.0版本旨在确保长对话的持久性，关键改进包括：采用全局压缩替代增量压缩以减少缓存抖动，保护高频提示缓存，修复启动与重启时的转录异常，并简化了新安装的配置流程。

## 正文

Lossless is a really interesting concept for OpenClaw to have an "infinite" context window/memory. It compacts conversations in blocks that the model can refer to， building a tree to look up past messages.

### 引用推文

> Josh Lehman：lossless-claw 0.10.0 - the "long chats survive" release 🧵 recall spans rotated conversation segments 🧹 full-sweep compaction replaces cache-churning increment...