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causal-memory

DeepSeek HarnessMCP Server Memory Low risk

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

AI 代理的因果记忆层——记录决策→结果关系的 MCP 服务器。可跨压缩存活。

How to install

DeepSeek Harness dsh plugin add github:JingxuanC/causal-memory

About

causal-memory **An agent memory system with a causal core — and the only one that models inhibition.** > Facts, temporal state, and decision → outcome causal edges on one SQLite store, powered by a hippocampus-style engine: typed spreading activation (excitatory *and* inhibitory), Hebbian co-occurrence reinforcement, Q-value dynamics, and immutable SWR consolidation. Agents recall *what* happened, *when* it was true, *why* it worked — and *what would happen if* they acted differently. **English** · 简体中文 --- Why Every agent forgets *why* it made past decisions after a few context compactions. I…

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55 Tool quality · Based on stars, downloads, maintenance, security and docs
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Meta

License
Apache-2.0
Language
Rust
GitHub stars
71
mo. downloads
Last push
2026-09-10
Created
2026-07-26

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
agent-memory, causal-inference, deepseek-harness, dsh, dsh-plugin, llm-agents, long-term-memory, mcp, mcp-server, rust

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