dsh-memory
Hermes-style persistent memory + self-learning for DeepSeek Harness: MEMORY.md/USER.md stores injected as a system-prompt section refreshed every session, a single memory tool (add/replace/remove/atomic batch) with threat scanning, and a post-turn background review loop that replays the transcript through the llm service with a memory-only tool whi
What it does
Hermes-style persistent memory + self-learning for DeepSeek Harness: MEMORY.md/USER.md stores injected as a system-prompt section refreshed every session, a single memory tool (add/replace/remove/atomic batch) with threat scanning, and a post-turn background review loop that replays the transcript through the llm service with a memory-only tool whi
Installation
dsh plugin --profile web add github:penglai-doll/dsh-memoryInstall method: GitHub · not yet tested in container (L3+)
Compatibility
| DSH Version | Status |
|---|---|
| not stated | Declared — not tested |
Requirements
- • Node.js: not stated
- • DSH: declared "not stated"
- • External credentials: none detected
Security Report
Automated static scan, not manual review.
No security scan record for this plugin yet. Newly indexed plugins are scanned by the daily pipeline.
——4decc9f76f36The scan result is only valid for the scanned commit. If the latest commit differs, the badge shows outdated until the daily pipeline rescans.
Disclaimer: automated static analysis, not a security guarantee. Always review what you install.
• Static heuristic scan: pending
• Dependency vulnerabilities: —
• Hardcoded secrets: —
• Supply chain risks: —
Activity
Last commit 2026-08-17 · activity: Active
• Repo created: 2026-08-18
• Stars: ★ 0 · Forks: 0
• Health: Active — committed within last 30 days