Cross-Model Shared MemoryCross-Model Shared Memory（跨模型共享记忆）
Claude Sonnet / Opus / Haiku share one conversation memory in real time, switching models without losing context.让 Claude Sonnet / Opus / Haiku 实时共用同一份对话记忆，换模型也不丢上下文。Claude Sonnet / Opus / Haiku share one conversation memory in real time.
Price
$0 Free
Usage
0 run
Version
v0.1.11
Description
AI translated this listing. The original creator text remains authoritative.
An open-source skill that lets Claude's Sonnet, Opus, and Haiku share the same memory, so switching models doesn't lose context.
Who it's for: People who frequently switch between different Claude models and don't want to repeat background each time. What it solves: Context discontinuity when switching models or starting new conversations. What you get: A set of pure Python, zero-dependency open-source scripts (MIT). v2 triple features: On-demand retrieval (recall.py, TF-IDF search across all historical sessions, works in Chinese and English, only fetches relevant segments); Tiered context (curated long-term memory plus recent sessions kept, older ones auto-archived); Dedup and consolidation (consolidate.py, de-dupes accumulated session summaries, never hard deletes). How to use: Clone the repo, run setup once, then auto-save and load. Works with Cowork, Claude Code, and Chat with Projects. Not included: Doesn't modify your model, doesn't upload data to the internet, everything stays in local files.
Open-source skill that gives Claude Sonnet, Opus and Haiku one shared memory store, so switching models doesn't lose your context. v2 adds on-demand recall (recall.py, TF-IDF search across all past sessions in Chinese and English), tiered context (curated long-term + latest sessions loaded, older auto-archived), and consolidation (consolidate.py, de-dupes session dumps, never hard-deletes). Zero dependencies, pure Python, MIT-licensed. Works in Cowork, Claude Code, and Chat with Projects.
GitHub: https://github.com/JRcomet/cross-model-shared-memory X: https://x.com/Harry_Atomi/status/2035326204929253718
一个开源 skill，让 Claude 的 Sonnet、Opus、Haiku 共用同一份记忆，换着用也不丢上下文。
适合谁：经常在 Claude 不同模型间切换、又不想每次重复交代背景的人。 解决什么：换模型或开新对话时的上下文断层。 你拿到什么：一套纯 Python、零依赖的开源脚本（MIT）。v2 三件套：按需检索（recall.py，对所有历史会话做 TF-IDF 搜索，中英文都行，只捞相关的那几段）；分层上下文（精选长期记忆加最近几次会话常驻，更早的自动归档）；消重整理（consolidate.py，把堆积的会话摘要去重，从不硬删）。 怎么用：clone 仓库、跑一次 setup，之后自动保存与加载。Cowork、Claude Code、带项目的 Chat 都能用。 不包含：不改你的模型，不联网上传数据，一切在本地文件里。
Open-source skill that gives Claude Sonnet, Opus and Haiku one shared memory store, so switching models doesn't lose your context. v2 adds on-demand recall (recall.py, TF-IDF search across all past sessions in 中文 and English), tiered context (curated long-term + latest sessions loaded, older auto-archived), and consolidation (consolidate.py, de-dupes session dumps, never hard-deletes). Zero dependencies, pure Python, MIT-licensed. Works in Cowork, Claude Code, and Chat with Projects.
GitHub: https://github.com/JRcomet/cross-model-shared-memory X: https://x.com/Harry_Atomi/status/2035326204929253718