causal-memory
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
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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Meta
- License
- Apache-2.0
- Language
- Rust
- GitHub stars
- 81
- mo. downloads
- –
- Last push
- 2026-09-24
- Created
- 2026-07-26
Links
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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