v0.5.5 · Apache-2.0
本地优先、零普通运行时依赖的 DSH 项目记忆:有界会话冻结 Hot Memory、倒排 BM25 召回、生命周期与缓存命中优化、中英双语 GUI。 / Local-first DSH project memory with zero regular runtime dependencies: bounded session-frozen Hot Memory, inverted-index BM25 recall, lifecycle, cache-aware design, and a bilingual GUI.
v0.6.1 · BSD-3-Clause
DSH 上下文注入审计插件:统计 AGENTS.md 指令链/技能目录/工具 schema 的 token 成本,检测重复与冲突;Web UI 圆环面板 + context_audit 工具。Context Doctor for DeepSeek Harness: audit instruction-chain / skill catalog / tool schemas token cost.
v0.7.0 · MIT
Terminal front door for DeepSeek Harness (dsh): an out-of-tree TUI mode bundle over dsh-base
v0.1.20 · MIT
Self-evolving memory for DeepSeek Harness (DSH): earned experiences, diary/fact semantic memory, concern tracking, and an append-only audit ledger.
v0.3.0 · Apache-2.0
Native Rapid-MLX provider for DeepSeek Harness (dsh) — dsh reads model facts from the server instead of your settings.yaml.
v0.2.6 · MIT
In-GUI skill hub for DeepSeek Harness (dsh): browse the full local skill catalog from the official ctx.skills registry (every root + third-party providers), toggle skills on/off, inspect bodies, surface frontmatter diagnostics, and scaffold new skills — p
v0.13.1 · MIT
DSH 费用统计插件:会话费用行 + 成本归因报告,llm-pricing 动态价格。 / DSH cost attribution and usage dashboard, priced by llm-pricing.
v0.6.0 · MIT
Update copilot for DeepSeek Harness: tracks the DSH core, bundled packages, and every installed plugin across npm and git, merged package-centric over all profiles, with one-click updates — the update command is identical for every profile. · DSH 更新助手:追踪
v0.5.5 · MIT
DSH plugin: run every agent shell command through Git for Windows bash on Windows instead of PowerShell. Replaces the pwsh executor with a Git Bash ctx.shell provider and materializes Git Bash variants of the standard/minimal/code/cordis agent presets int
— · MIT
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
v0.1.3 · MIT
DSH 预设编辑器插件, 支持一键破甲.
v1.6.2 · MIT
An intent-calibrated DSH discussion mode that prevents complex conversations from drifting and turns them into evidence-based next steps.
v0.0.1 · no license
A native DeepSeek Harness (dsh) plugin bridging dsh coding agents to Feishu/Lark group chats — one group, one project directory.
v1.1.0 · no license
中华传统智慧(玄枢)AI Agent 技能包的 DeepSeek Harness(dsh)Cordis 插件:八字/紫微/六爻/梅花/奇门/风水/五运六气/体质全融合,本地确定性引擎 + 可视化 Dashboard,一行 dsh plugin add 安装。
v0.6.0 · ISC
DeepSeek Harness bundle: a Chrome browser for agents (browser_goto / browser_evaluate / browser_screenshot tools) with a live two-way pane inside the DSH Web GUI. The browser engine is a fork of zenbu-labs/terminal-browser with the React Ink terminal UI r
— · BSD-3-Clause
帮 DSH 搜索、安装并验证插件的 Skill|A DSH skill that finds, installs, and verifies GitHub plugins
— · no license
DeepSeek Harness (dsh) 从 0 到 1 深度手册:安装/插件开发/性能调优/实测案例/同模型多 Agent 实测对比(中文 + 英文 PDF)
v0.8.0 · MIT
DeepSeek bills peak hours at 2x, and peak is 09-12 and 14-18 Beijing time. npx dsh-lean audit shows what your session paid and what it costs off-peak. DeepSeek 峰时按 2 倍计费,峰时正好是上班时间。
v0.5.2 · MIT
High-reliability Feishu/Lark bridge for DeepSeek Harness — QR one-click auth, multi-mode agents, card-based commands, zero-loss outbox, media in/out, session logs, reusable DSH Web GUI
— · MIT
An Agent Skills skill for developing DeepSeek Harness (DSH) plugins(开发 DSH 插件的 Agent Skill)——插件/服务/事件/工具/LLM 适配器/打包安装的标准。Works with Claude Code, Codex, DSH, VS Code Copilot & any compatible agent.
v1.7.7 · MIT
Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.
v0.1.13 · MIT
AgentTeams plugin for DeepSeek Harness
v2.4.0 · MIT
通过扫码或机器人凭据把IM机器人接入DeepSeek Harness(支持飞书、微信、钉钉、企业微信、QQ、Slack、Telegram、Discord和WhatsApp)。 Connect IM bots to DeepSeek Harness via QR code or credentials (9 channels).
v0.1.0 · Apache-2.0
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.