by Frappucc1no · Claude Skill · ★ 152
🧵 RecallLoom 让项目自己记住自己。 把背景、进展、关键决策和下一步留在项目文件里。换会话、换模型、换工具,下一次 AI 协作也能接上当前状态。 English · 简体中文 [!TIP] 如果你已经被“隔一段时间回来又要复述十分钟”的重启税折磨过,RecallLoom 的目标很直接:让项目状态、关键决策和下一步留在项目里,让下一次 AI 协作接得上。 快速跳转: 为什么需要 · 30 秒开始 · 特性 · 核心能力 · 项目记忆循环 · 适合与不适合 · 方案对比 · 工程设计 · 版本迭代 · FAQ 🧭 为什么需要 RecallLoom 长期 AI 协作里,最耗人的常常是反复解释项目。 你
| Stars | 152 |
| Forks | 6 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 41.25/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-06 |
| Created | 2026-04-13 |
| Platforms | python |
| Est. Tokens | ~2213k |
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recall-loom is Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files.. It is categorized as a Claude Skill with 152 GitHub stars.
recall-loom is primarily written in Python. It covers topics such as agent-memory, agent-skills, ai-agents.
You can find installation instructions and usage details in the recall-loom GitHub repository at github.com/Frappucc1no/recall-loom. The project has 152 stars and 6 forks, indicating an active community.
recall-loom is released under the Apache-2.0 license, making it free to use and modify according to the license terms.