context-m

怎么安装

简介

**cortexm remembers what you tell it. Forever. For free. On your machine. Same result every time.** Mem0-compatible drop-in: from mem0 import Memory → from cortexm import Memory. Zero LLM calls at ingest. Zero LLM calls at retrieval. Zero monthly cost. Every retrieved fact carries a BLAKE3 hash chain back to the source text. One .db file you own. Quick start bash pip install cortexm # works offline, no API keys, single command python from cortexm import Memory # Mem0-compatible surface m = Memory() m.add("I work at Google", user_id="alice") m.search("Where does Alice work?", user_id="alice") →…

推荐参考

信息

协议

Apache-2.0

语言

Python

GitHub 星标

2

月下载

–

最近更新

2026-09-24

创建于

2026-08-27

链接

基础安全检查

检查结果

curated 收录但无 npm 包/安装命令

收录来源

curated:0xsline/awesome-deepseek-harness

主题标签

agent-memory, bi-temporal, chroma, context-engineering, deterministic-ai, hippocampus, letta, llm-memory, local-first, long-term-memory, mcp, mem0, memgpt, provenance, rag, self-hosted, vector-symbolic-architecture, zep