6 results
DSH (DeepSeek Harness) plugin packaging of the Project Blueprint skill — one-command AI coding conventions (AGENTS.md, docs skeleton, CI/CD, git rules, testing policy) with an autonomous discovery engine (7 languages, 15 frameworks, 70+ components, web fallback).
Reference commands, skills, workspace files, DSH sessions, local agent transcripts, cloud-drive files, and mirrored web-chat conversations from one DeepSeek Harness @ menu
Evidence-backed runtime nutrition labels for DeepSeek Harness plugins and tool namespaces
DeepSeek Harness plugin: LLM model selection & deployment analysis (deployability, VRAM, TTFT, latency, throughput, power for 38 models × 20 GPUs/NPUs)
Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.
Native DeepSeek Harness model health monitor with persistent Alive/Dead state, runtime failure verification, scheduled rechecks, and health-sorted searchable model pickers.