66 results
Tabbit Browser bundle for DeepSeek Harness: a code-first tabbit_browser tool, browser-backed web_fetch, @tab composer mentions, a dedicated page-access permission, an environment preflight with background installer download, and a daily plugin update check.
Manage DeepSeek Harness (DSH) plugins from the Web UI: list, enable/disable, install/remove, environments, and a GitHub-awesome-driven marketplace.
OpenViking retrieval, resource management, auto-recall and session memory for DeepSeek Harness.
A reproducible science workbench plugin for the DeepSeek Harness: agent-driven cells, inline figures with feedback/rerun, manifest provenance, and environment snapshots.
低成本视频理解工具：B站链接/BV/本地视频 → 信息层（ASR+场景+对象轨迹+YOLO）→ 摘要+问答。问题驱动动态路由分层（L0/L1/L2）、语义层复用、预算上限。采用 Python 引擎：核心层需 faster-whisper / opencv / yt-dlp（约 200-300MB），可选语义层另需约 2GB 的 torch / transformers / ultralytics，内置 doctor --fix 一键建 venv 并装齐两者。
Tensorlake sandbox execution providers for DeepSeek Harness
Sprites remote development environments for DeepSeek Harness through Cordis and MCP.
PBR model preview for DeepSeek Harness: render GLB/GLTF game art with physically-based materials, textures, environment lighting, and orbit controls — fence language `pbr3d` + `pbr_render` tool.
Route-aware Codex environment simulation for DeepSeek Harness, improving tool-call reliability for GPT and other Codex-adapted models
Environment housekeeper for DeepSeek Harness: toolchain inventory, agent scratch/cache scan with safe one-click cleanup, and the machine rules file (AGENTS.md) view/edit - all in the Web GUI settings. Zero runtime dependencies.
Persistent global fetch proxy for DeepSeek Harness LLM requests (undici setGlobalDispatcher + EnvHttpProxyAgent), configured via the llm-proxy settings namespace
Session environment selector for DeepSeek Harness: per-language conda / standalone R / WSL / custom-path slots behind a /env command, the session_env tool, DSH_ENV_* shell facts, and a conversation-header dropdown. Installs with dsh plugin add.
Server-development mode for DeepSeek Harness: remote agent tools (ssh_list / ssh_exec / ssh_ls / ssh_read / ssh_write) backed by a persistent ssh2 engine, so the DSH coding agent's working environment is a remote Linux server. Works with the `remote` agent preset.
生物信息学「许愿式分析」插件：Python 执行器（bio_python：Biopython 全功能 + 出版级绘图）+ 48 个高频语义化工具（差异表达/GSEA、代谢建模/FBA、合成生物学设计、CRISPR、ML、文献检索等）+ 47 个 skill（1 主 skill + 17 领域配方 + 17 协议 + 4 研究方法 + 8 agent 指南）+ 零依赖自举 Python 环境（uv+venv 自动下载到插件私有目录）。用户下载安装即可许愿式分析。
Web chat entry for DeepSeek Harness (dsh plugin): a sidebar button (right below New Session) that opens chat.deepseek.com in a dedicated desktop window when running under dsh-desktop (Wails bridge), falling back to in-webview navigation in plain web environments
OrbStack VM sandbox v0.4.0: 在 v0.3(安全/可靠性)基础上新增 A1 交互终端、A3 场景化一键创建、A4 删除撤销+完成通知、A5 配额一眼可见、A6 协作分组、B1 安全基线 vm_harden、B2 密钥库 vm_secret、C1 增强指标+阈值告警 vm_alert、D1 vm_scp/vm_logs/vm_env/vm_withdraw、D2 调度 UI+用量报表 vm_report、D3 导出分片/远端、D4 累计配额+创建排队。
Cross-session memory with governance, self-evolution and an approval-gated write path for DeepSeek Harness. Heat-ranked recall, environment conventions, forgetting lifecycle, supersession chains, poisoning defense, auto-distillation, and an open measurement ABI.
DSH 插件: pwsh executor 增强，从 workspace .env 注入环境变量到子进程
Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
DSH plugin that explicitly forwards the complete Harness environment through the subprocess service
Real-time weather, location, battery, and system-device context for DeepSeek Harness
Inject WSL/Windows path and shell facts into the DeepSeek Harness system prompt.
Diagnose WSL/Windows proxy, Node 24 fetch, dsh web process env, proxy TCP listen, DeepSeek/npm/ModelScope reachability.
System information tool for DeepSeek Harness: OS, CPU, memory, uptime, and network facts the agent can read when diagnosing the local environment