causal-memory
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。
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
怎么安装
dsh plugin add github:JingxuanC/causal-memory 简介
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…
推荐参考
信息
- 协议
- Apache-2.0
- 语言
- Rust
- GitHub 星标
- 71
- 月下载
- –
- 最近更新
- 2026-09-10
- 创建于
- 2026-07-26
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:awesome-dsh-plugin/awesome-dsh-plugin
- 主题标签
- agent-memory, causal-inference, deepseek-harness, dsh, dsh-plugin, llm-agents, long-term-memory, mcp, mcp-server, rust
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