Who it is forA developer who uses DeepSeek Harness daily and is tired of re-explaining project conventions and past decisions to the agent in every new conversation.
The problemEach DSH conversation starts from zero, so the agent forgets constraints, preferences, and decisions made in earlier sessions.
The outcomeThe agent loads relevant memories at session start, and new durable facts it learns are saved as inspectable Markdown files you can read.
What you need first
- A working DeepSeek Harness (DSH) install; the README says it was tested with DSH 0.2.0-rc.2
- The dsh command line available in your shell
- Node.js and pnpm if you plan to build or develop the plugin from source
- Access to the memory files of any other AI coding tool you want to import
Steps
- Run
dsh plugin --profile web add @zseven-w/dsh-noema@latest - Run
dsh weband open Settings → Noema Memory to confirm Enable memory is on - Start a session and ask the agent to run noema_recall for the project you are working on
- Ask the agent to save a fact with noema_remember, such as a preference or a decision you just made
- Start a new session and check that noema_recall returns the fact you saved
Prompt for your agent
Using the dsh-noema plugin in DSH, call noema_remember to save the decision '<decision text>' for the project at <project path>, then call noema_recall with a query about that project in a new session. Expected output: the recall result contains the saved decision. Verify that a Markdown memory file for it appears under NOEMA_ROOT, which defaults to ~/.agent-memory/.
Caveat. The README says the plugin needs one server restart after it is first added to a profile, and the default memory location is ~/.agent-memory/ unless you set the Memory root (NOEMA_ROOT) setting.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for ZSeven-W/dsh-noema and "Keep a DSH agent's knowledge across sessions"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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