How to Give DeepSeek Harness a Memory: 6 Best Memory Plugins
A question the DSH community asks constantly: “how do I make my DeepSeek Harness agent remember things between sessions?” By default it doesn’t — every new session starts from scratch. The answer is a memory plugin. Here are the six that matter.
The short answer
| Plugin | What it gives you |
|---|---|
| dsh-mnemon | Cross-agent, local-first persistent memory — facts survive across sessions |
| distill | Turns past conversations into reusable skills automatically |
| dsh-memory-evolve | Long-term memory + background self-evolution, git-aware |
| dsh-mneme | SQLite + editable Markdown dual-write memory, offline semantic search |
| dsh-kb-sieve | Build audit-able knowledge-base packs (references + retrieval) |
| flowix | Notes for you, memory for your agents |
How each one works
dsh-mnemon — the default recommendation
Local-first persistent memory that works across agents: tell it a fact once, and future sessions recall it. It’s the closest thing to “the agent just remembers.” Install:
dsh plugin add github:omdsh-dev/dsh-mnemondistill — learn from your conversations
Automatic conversation distillation: a background subagent reflects on your chat history and creates or updates skills. Over time the agent gets better at the tasks you actually do. Great for turning one-off sessions into repeatable capability.
dsh-memory-evolve — memory that improves itself
Adds cross-session long-term memory plus background self-evolution: five memory tracks, git-branch awareness, in-turn self-review, and a skill manager that grows its own capabilities.
dsh-mneme — memory sovereignty
SQLite + editable Markdown dual-write, so you can read and edit what the agent remembers. Offline semantic retrieval (embedding/rerank/clustering) means it works without the cloud.
dsh-kb-sieve — knowledge bases you can audit
Build knowledge-base packs with references and SQLite-backed local retrieval — useful when you need to know what the agent is recalling and why.
flowix — notes that feed agents
A notes app designed to be memory for agents: take notes for yourself, and your AI companions read the same store.
Choosing by use case
- “I want the agent to just remember my preferences” → dsh-mnemon
- “I want it to learn from what we did before” → distill
- “I want inspectable, editable memory” → dsh-mneme
- “I want a searchable knowledge base” → dsh-kb-sieve
Browse the Memory category for the full list, or search for memory plugins.
Bottom line
Memory is where agent quality compounds — a harness that remembers gets better every session. Start with dsh-mnemon, add distill when you want the agent to learn from your history, and the rest of the memory category is there when you need specialized storage.
DeepSeek Harness Plugin FAQ
Does DeepSeek Harness have persistent memory?
Not by default — each session starts fresh. Memory plugins add it: dsh-mnemon shares long-term memory across sessions and agents, distill turns past conversations into reusable skills, and dsh-kb-sieve builds searchable knowledge-base packs.
Which DSH memory plugin is best?
dsh-mnemon for simple cross-session memory, distill for turning chat history into skills you can reuse, and dsh-memory-evolve if you want self-evolving memory with git-aware branching. Pick by your workflow.
How do I install a memory plugin for DeepSeek Harness?
Run 'dsh plugin add github:omdsh-dev/dsh-mnemon' (or any repo from the directory). The CLI installs it into your active profile; some plugins need a UI restart.