infinite memory locall rag system for

infinite-memory 是一个基于 Python 脚本的长期记忆与检索 Skill：通过 scripts/ingest.py 将文件名与文本写入长期记忆库，通过 scripts/recall.py 按查询召回事实；另含 memory_service.py 服务脚本与本地记忆引擎文件，声明依赖 python 与 curl。

mhndayesh

热度 74.35

最近更新 2026-05-18 12:07:21

分类：知识依赖：代码执行 / 读写文件 / 内部调用大模型 / 第三方 API应用场景：笔记整理 / 研究 / 自动化脚本

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add infinite-memory-v2

Metadata

name: infinite-memory
version: 1.0.0
description: High-precision memory with 100% recall accuracy for long contexts.
emoji: 🦞
metadata: {"clawdbot":{"requires":{"bins":["python","curl"]},"files":["scripts/recall.py","scripts/ingest.py","engine/memory_engine_parallel_lms.py","references/AUTO_INTEGRATION.md","memory_service.py","requirements.txt"]}}

Infinite Memory 🦞

High-precision RAG engine for deep context retrieval (Phase 16 Architecture).

Tools

recall_facts

Cmd: python scripts/recall.py "{{query}}"
Goal: Search for facts in the historical database.

memorize_data

Cmd: python scripts/ingest.py "{{filename}}" "{{text}}"
Goal: Store new data into the long-term memory.