369 results
dsh-docker — typed, guarded container control for DSH: structured docker/compose tools, project-aware targeting, an approval gate for destructive ops, service-health context, and a replayable status-table renderer
Vision for text-only DeepSeek Harness agents: delegate image reading to a one-shot subagent on a configurable vision route (MiniMax / Kimi / any OpenAI-compatible provider), keeping image bytes and the vision model's context out of the main session.
Markdown folder long-term memory for DeepSeek Harness: one file per fact, an index line per memory, mounted into every request as a system prompt section
Claude Code-style `paths:` rule injection for DeepSeek Harness (DSH): inject rules from ~/.dsh/rules, <project>/.dsh/rules and <project>/.claude/rules into the model context.
Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming.
Pure-incremental directive-driven compaction for DeepSeek Harness: /compact-directive <requirement> summarizes the session middle per your requirement, /trim-directive <requirement> trims the whole conversation per your requirement
MCP adapter for DeepSeek Harness — one proxy tool instead of dumping every MCP schema into context.
把 git 状态与仓库规范动态注入 system prompt：分支/脏文件数/最近提交 + 仓库规范指引（官方 system-prompt section/context/variable 缝隙插件）
TabNexus for DSH：轻量的本地任务、分类、网页资料与流程管理插件。
DeepSeek Harness bundle: inject the user's IDE context (open editors + current selection) into each turn, via the Claude Code IDE WebSocket bridge (IntelliJ IDEA & VS Code).
Load MCP servers for the DeepSeek Harness from the mcp.json of Claude Code, Kiro, OpenCode, and Codex, with user and project layers and live reload
Visual percentage and token settings for official DeepSeek Harness compaction
Evidence-backed working memory for DeepSeek Harness: a cited ledger of what already worked in this workspace, built from the session log you already have
Cut MCP context and API cost in DeepSeek Harness with two model-facing tools, lazy discovery, and exact-schema calls
Token usage dashboard for DeepSeek Harness: cache, context, efficiency, per-step details, and cross-session comparison
Right-click context menus for the DeepSeek Harness (DSH) web UI: open files, reveal in Explorer/Finder, open in a detected editor, copy paths; workspace/session context menus. 对话文件右键菜单插件。
Auto-compact a DSH conversation after the current task finishes, at a user-set context threshold. Settings-page switch + slider included.
A local DeepSeek Harness north-star guard with explicit AI indicator evaluation and task alignment context.
DeepSeek Harness 的 MCP 服务管理器：在 设置 → 插件 → MCP 标签页中发现 GitHub 上的 MCP 服务仓库（topic:mcp-server / modelcontextprotocol），探测 npm / PyPI 发布状态与 README 启动线索，详情查看后一键安装 / 移除。服务以 @deepseek-ai/dsh-mcp-client 行登记进 cordis.patch.yml，HMR 热重载，无需重启。支持 GitHub 代理。
Data-provider MCP server for football: results, stats, odds, standings, form and head-to-head for 18 European leagues (1993-94 →) and 8 cup competitions, for any MCP client. Also a DeepSeek Harness (dsh) plugin.
DSH plugin: context archiving + historical retrieval — archive_session / search_archive tools over the session-archive skill (zstd session-log decode).
DSH Desktop Operator: safe Windows Computer Use, desktop automation, UI Automation, and MCP tools for DeepSeek Harness
Fill dead waiting time: while a long task runs, surface one small, true, topic-relevant fun fact — never touching the agent's context or result.
DSH web plugin: a better-sidebar tab that reads the latest assistant line and generates four style-distinct reply candidates (帮我想想) with a one-shot off-loop completion. Independent from the main session: no context inheritance, a fresh round per generation.