23 results
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Doubao Web by default (zero cost, no API key), Antigravity IDE quota (flash/pro), Gemini API, or Cockpit proxy — model-invokable vision tool, wrapper adapters, evidence memory, and a bilingual client panel.
Vertical prompt quick-jump rail for the DeepSeek Harness web conversation view
One memory layer for every AI tool and agent, packaged for DeepSeek Harness with startup context, prompt-time recall, Mem MCP tools, and DSH thread capture.
AI 系统的数据层：把 18 种来源（文档站/GitHub/PDF/视频/Notebook/Wiki…）转成结构化知识资产，导出到 22 种目标（Claude/Gemini/OpenAI/RAG 管道/编码助手）；AI 驱动项目扫描生成配置。受 yusufkaraaslan/Skill_Seekers（14k★ MIT）启发。
网页复刻：从参考图/URL 提取字体、颜色、动画、组件结构，生成还原度高的网页项目。受 xuanxuan-prompts（169★）启发。
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
DeepSeek Harness 原生视觉 Bundle：粘贴或拖入图片，通过托管的 deepseek-vision-mcp 调用 OpenAI 兼容视觉模型。
RAG 检索增强生成：向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents（38k★ MIT）启发。
Sidebar usage card for the dsh web GUI: 7d/30d token usage, spend and remaining DeepSeek balance, rendered above the settings button.
DeepSeek Harness plugin for progressive, source-grounded deep research, writing, and learning: steerable checkpoints and citations verified against retrieved sources
Indirect prompt-injection guard for DeepSeek Harness: taints tool output by origin and gates privileged tool calls that follow untrusted content
DSH 插件：把会话轨迹变成可分享、可复盘、可教学的结构化报告（脱敏 + LLM 总结，HTML/MD/JSON 输出）
常驻视觉服务：直连视觉模型（默认 opencode-go/minimax-m3，回退 zai-coding-cn/glm-4.6v）。describe_image / subagent_vision 工具 + 粘贴图片自动转译（llm/stream 钩子）+ 输入框视觉状态小胶囊与详情页（活动日志：指令/思考过程/输出）。零子代理、零 agent 上下文开销，按会话记忆窗支持视觉追问与验收。
DSH client plugin: Think token-count display + optional tool-call grouping.
仓库知识图谱：把代码/PDF/Markdown/截图/白板照片提取概念关系建图——god nodes/惊人连接/建议问题、EXTRACTED/INFERRED/AMBIGUOUS 边标签、71.5x token 节省、wiki 导航、--watch 自动同步、git hook。受 safishamsi/graphify（48.7k★）启发。
DSH plugin: compress verbose voice-dictation text into token-efficient prompts, fully local.
dsh-spend + DeepSeek account balance: usage/cost dashboard (peak/off-peak aware) plus the official CNY balance readout
Paired experiments and promotion gates for DSH plugins.
提示词工程模式：结构化推理（CoT/ToT）、few-shot、模板变量、生产级提示词优化。受 wshobson/agents（38k★ MIT）启发。
SQL 优化模式：EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents（38k★ MIT）启发。
百万 agent 社交模拟：可扩展开源社媒模拟器，LLM agent 逼真模仿 Twitter/Reddit 上多达百万用户——23 种动作（follow/comment/repost）、兴趣与热度推荐算法、动态环境；研究信息传播/群体极化/羊群行为等社会现象。受 camel-ai/oasis（5k★ Apache-2.0）启发。
Configurable OpenAI Responses-compatible native web search provider for DeepSeek Harness, with a Settings UI
Fusion mode generation tool for the DeepSeek Harness: sample the model N times with different temperatures, then let the model itself pick the most suitable answer.