Find the right plugin

fan56

dsh-dcp

dsh plugin: deterministic context compression backend — zero LLM calls, reproducible compression

Memory8

chenzheshushi-commits

Self-evolving memory + skill lifecycle for DeepSeek Harness — durable cross-session memory with zero-token deterministic recall, tiered approval, reinforcement learning from repetition, and anti-bloat convergence for both skills and memory.

Memory8

zhujunpeng12

dsh-memory-system

Local-first persistent memory infrastructure for DeepSeek Harness: hot bootstrap, Chinese-BM25 cold recall, lease-lock transactional writes, read-only governance

Memory8

noteflowai

dsh-skills-anywhere

Check Agent Skills before reuse: find missing local resources in browser or CI, review pinned examples, and serve skills through DeepSeek Harness or MCP.

ZekaiShi

evo-subagent

Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution (prefercmd/memory as knowledge allow/deny lists), so repeated tasks start from proven commands and save tokens. Unified subagent routing and evolution: prefercmd/memory serve as knowledge allow/deny lists, saving tokens.

yindf

taskfold

Context folding for DeepSeek Harness (DSH): wrap work in named tasks, fold finished spans into short summaries, recall originals on demand.

everclear077

dsh-progressive-tools

Progressive tool discovery for DeepSeek Harness — tiny stable surface, searchable catalog, real pipeline execution, context cache intact.

Scorp1o117

dsh-tdai-memory

Agent memory for DeepSeek Harness | DeepSeek Harness 记忆插件

Noelune

unified-agent-memory

Unified fleet-wide agent memory system for DeepSeek Harness — shared Obsidian Vault for dsh, Codex, Claude Code & Hermes with dependency-free Python FTS5 core.

XSJUSTC

dsh-rewind

DSH (DeepSeek Harness) conversation rewind plugin - rewind to any user message, interrupt a running turn, hide the tail from chat view and model context, cancel freely before sending.

nowledge-co

nowledge-mem-deepseek-harness

One memory layer for every AI tool and agent, packaged for DeepSeek Harness

PeterTXPan

dsh-unreal-mcp

DeepSeek Harness Bundle for Unreal Engine 5.8 via Unreal MCP

Asher-2000

dsh-memory-connect

Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation

Starlight-bananice

dsh-status-bar

Know what your agent is doing at a glance — 17-segment configurable status bar for DeepSeek Harness: status/model/context/tokens/TPS/cost/jobs. 一眼看清你的 agent 正在做什么：17 段可配置 DSH 会话状态栏。

54xkeee

dsh-vision

Vision for DeepSeek Harness: Doubao Web by default (zero-cost, no API key), Antigravity IDE quota (flash/pro), any IDE CLI, Gemini — auto detail escalation, evidence memory

Edge-Echo

dsh-mcp-bridge

Curated, verified MCP server bundle for DeepSeek Harness (dsh): one install brings demo, memory, filesystem, GitHub, Playwright and remote HTTP MCP servers, with a connectivity verifier and CI checks.

ciskonc

dsh-context-imports

Claude Code-style @path imports for DeepSeek Harness: expands @imports in AGENTS.md/CLAUDE.md and injects referenced files into context at session start

gezi-wen

sage-mem

This plugin has no description yet.

TT-Wang

dsh-slice-agent-loop

A drop-in DeepSeek Harness agent loop whose context engine is a bounded slice instead of a growing transcript

Guojiz

gitlearnos

Git-native AI learning OS with a GitLearnOS-exclusive DeepSeek Harness panel, targeted practice, local RAG, and learner-owned memory.

pure-craft

dsh-capability-panel

Manage MCP servers, skills, and tools for your DeepSeek Harness agent — true in-context state and per-session / per-preset switches

PerryLink

dsh-fast

Read-only performance diagnostics for DeepSeek Harness: session load/restore timing, spill-hit counts, compaction count and trigger, context-injection volume (AGENTS.md/skills/tool-schema token share), and LLM cache hit rate — surfaced via /fast, persisted as reconstructable session events with async sampling off the model path.

justhalfbit

dsh-plugin-jev-effort-selector

DeepSeek Harness (DSH) 推理等级自动选择插件：由 Jev System One 模型判断每条消息值多少思考量，按模型声明的等级自动推导档位，上下文信封让「继续」这类追问继承话题深度，低置信度向上取，任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.

skepsun

dsh-engram

极简·省 token 的 DSH 长期记忆插件：零 LLM 自动捕获、符号索引渐进披露、ESR 证据闭环。Minimalist token-saving memory for DeepSeek Harness: zero-LLM auto-capture, symbolic index, ESR-lite evidence closure.