Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
causal-memory
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
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About this plugin
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
Install this DSH plugin
Copy the command below and run it in your DeepSeek Harness terminal.
dsh plugin add github:JingxuanC/causal-memory Plugins run with the permissions of your dsh process and may execute code at install time. Review the source repository and its license before installing. Pin the commit hash for reproducible installs. Plugin safety →
More about this plugin
Every agent forgets why it made past decisions after a few context compactions. It re-fixes the same bug the same wrong way, re-debates the same architecture
Related guides
Learn how to choose, install, and use memory plugins.
About this plugin: causal-memory
What is causal-memory?
causal-memory is a memory plugin maintained by JingxuanC. Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
How do I install causal-memory?
Run dsh plugin add github:JingxuanC/causal-memory in your DeepSeek Harness terminal. The dsh CLI resolves the plugin from GitHub and installs it into your active profile. For reproducible installs, pin a commit hash: dsh plugin add github:JingxuanC/causal-memory#commit.
Is causal-memory free?
causal-memory is a community open-source project released under the Apache-2.0 license. You can inspect its source and install it for free.
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