diqierjia
Recent memories stay detailed. Older ones grow concise. Important ones live on.近期记忆保持详细,旧记忆逐渐精简,重要记忆长期存在。
mengwEX
AI-managed Auto Compact for DeepSeek Harness: the agent decides when to compact context and what to retain based on task progress, without waiting for a fixed token threshold.
Tasihi89
Visual conversation map for DeepSeek Harness — sessions as cards on a whiteboard: drag to arrange, double-click to chat, draw an edge to fork with injected context. ADHD-friendly spatial memory. · DSH 可视化对话地图
PerryLink
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).
wang1299
DSH-Reforge (dsh-reforge) — DeepSeek Harness plugin for traceable experience from test-verified Python bug fixes. 从有测试依据的 Python 修复中积累可追溯经验。Experimental alpha · DSH 0.2.0-rc.2 / 0.2.1-rc.5.
yj-liuzepeng
Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval
MichengAI
DSH 一次性只读旁问插件:基于当前上下文回答,独立气泡,不执行工具 · One-shot read-only side-ask plugin: answers from current context in an independent bubble, no tool execution
john-walks-slow
Advanced model-context injection and request-only rewriting for DeepSeek Harness with native Keysmith rules compatibility.
Ethereal-Space-one
面向 AI 编码助手的源码知识生产工具包:提取业务规则,生成可追溯的机器人问答知识 | An agent toolkit for evidence-backed knowledge from source code.
398894496-arch
Give your agent a subconscious: mention it and it comes to mind, with what is connected to it, and the lessons carry over. Local plain-Markdown memory for Claude Code, Codex, Cursor and any MCP app. Every answer cites its page. No API key, no server.
fishzjp
Testing skills for AI coding agents: evidence-backed strategy, executable cases, Playwright/API testing, regression and QA memory. 面向 AI Agent 的测试工程技能。
ouli-1242
一个设置面板,统一管理 MCP、技能、记忆、子智能体、提示词和归档会话;可自定义搭配场景,一个场景即可切换整个环境;Agent也能帮你操作这个插件。 | One settings panel managing MCP, skills, memory, subagents, prompts and sessions; customize scene combos to switch the whole environment; the Agent can also operate this plugin for you.
Jimmy0123-ux
Bilingual floating DeepSeek Harness pet with live context, lifetime token ledger, trends, opt-in completion sound, and editable Prompt Optimizer enhancement.
hanshanyike
把对话里说过的重要事情,变成持续可跟进的计划。 为 deepseek-harness 打造的个人助手:从对话中整理事项、跟踪变化,并在需要时提醒你。
minedalang
让大肥鱼在 DSH 中长期生活:在B站社交(多平台规划中)、生活,具有长期记忆、可塑造人格、自然好友关系、可视化桌宠(规划中)
PolinniZhong
面向 AI Coding Agent 的任务感知工作区上下文检索与生命周期追踪:按当前任务找到、组织并持续追踪最相关的文档、代码与媒体。纯本地、零模型调用、零网络。 Task-aware workspace context retrieval and lifecycle tracking for AI coding agents. Find, organize, and track the workspace context most relevant to the task at hand — locally, deterministically, zero model calls, zero network.
limuyang2
Multi-agent team collaboration for DeepSeek Harness, with independent models, skills, MCP tools, contexts, and a shared workspace.
PolinniZhong
Session Workbench for DeepSeek Harness: session-library full-text search + recall + conversation-view management (show/hide + reorder). 会话工作台:会话库(历史会话全文搜索与召回)+ 会话视图(标签栏显示/隐藏 + 拖拽排序)。
hr98w
融合 Claude Code 的 Auto Memory 与 Codex 的 Session 记忆整理,为 DeepSeek Harness 提供简单、透明、上下文友好的长期记忆。Claude Code-inspired Auto Memory meets Codex-inspired Session consolidation, bringing simple, transparent, and context-efficient long-term memory to DeepSeek Harness.
kirkchinese
为 DeepSeek Harness 打造:选中 AI 回答或思考内容,随时追问、学习、检查与纠偏。
functy23
DeepSeek Harness 的 MCP 服务与 Skills 管理器:面板里增删改 MCP 行、扫描导入其他 Agent 配置、管理 Skills(DSH Web 插件)
lcestou
Claude Code for dsh (DeepSeek Harness): runs your logged-in Claude Code CLI as a model provider, with live models, session resume, approvals, rewind, memory and remote SSH workspaces
pk14742952-AD
DSH host RSI for local LLMs (currently Qwen3.8 27B): per-use continual self-improvement, counter-reason self-check, critic escalation, and memory retrieval.简单来说根据论文建立的长期反思教训机制,让大模型不再犯错,越用越强!重点是千问3.8 27B/FLASH这种本地LLM模型!当然在线大模型理论上也可以通用!
Rxiain
面向 DeepSeek Harness 的 OpenViking 检索、资源管理、自动召回与会话记忆插件