Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
dsh-auto-memory
An auto-memory plugin for the DeepSeek Harness Web GUI that maintains three layers of context — user-level facts, project notes, and daily logs — with automatic injection and retrieval. It adds daily reflections, a visual panel and settings page, and can inherit historical memory from other AI tools.
Plugin facts
Screenshots
Install this DSH plugin
Copy the command below and run it in your DeepSeek Harness terminal.
dsh plugin add github:Aik358/dsh-auto-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
Adaptation and pre-research for DeepSeek Harness's official long-term memory system are underway — when it ships, this plugin will offer semantic recall and cross-window continuation for official memories from day one.
Related guides
Learn how to choose, install, and use memory plugins.
About this plugin: dsh-auto-memory
What is dsh-auto-memory?
dsh-auto-memory is a memory plugin maintained by Aik358. An auto-memory plugin for the DeepSeek Harness Web GUI that maintains three layers of context — user-level facts, project notes, and daily logs — with automatic injection and retrieval. It adds daily reflections, a visual panel and settings page, and can inherit historical memory from other AI tools.
How do I install dsh-auto-memory?
Run dsh plugin add github:Aik358/dsh-auto-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:Aik358/dsh-auto-memory#commit.
Is dsh-auto-memory free?
dsh-auto-memory is a community open-source project released under the BSD-3-Clause license. You can inspect its source and install it for free.
Related plugins
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.