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context-m

DeepSeek HarnessMCP Server Memory Low risk

Deterministic agent memory. μ=0. Free, local, forever. Mem0-compatible.

确定性代理记忆。μ=0。免费、本地、永久。与 Mem0 兼容。

How to install

DeepSeek Harness dsh plugin add github:ssmurfgg04-gif/context-m

About

**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") →…

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Meta

License
Apache-2.0
Language
Python
GitHub stars
1
mo. downloads
Last push
2026-09-03
Created
2026-08-27

Links

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:0xsline/awesome-deepseek-harness
Topics
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

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