dsh-model-context-catalog
HOWILLMAKEIT
DeepSeek Harness 插件:维护 llm-pi-ai 模型的准确上下文窗口,避免长会话被误判为上下文溢出。
DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。
108 个项目,匹配「llm」
HOWILLMAKEIT
DeepSeek Harness 插件:维护 llm-pi-ai 模型的准确上下文窗口,避免长会话被误判为上下文溢出。
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。
FeatherHunter
DeepSeek Harness 的 Prompt 工具箱:别再复制粘贴——24 条深度模板随手点,/prompt 与智能推荐主动兜底,装好即用、可自定义。 | The Prompt toolbox for DeepSeek Harness: stop copy-pasting — 24 deep templates at a click, /prompt & smart suggestions as backup; out of the box, fully customizable.
omdsh-dev
An dsh plugin for role-based LLM retry&fallback strategy. 基于角色的模型重试备用策略插件
JunNanLYS
让 DeepSeek Harness 拥有跨会话长期记忆:AI 自动记住你是谁、你的项目和偏好,新会话直接带上背景,生活与工作记忆自动分开互不干扰,零配置无感运行 | Long-term memory for DeepSeek Harness: the AI remembers who you are, your projects and preferences across sessions, keeps personal and work memories separate, zero-config.
SeverusZh
Subagent Director: per-subagent LLM provider/model selection with role templates for DeepSeek Harness (dsh plugin)
phoenixlucky
让 Agent 高效又守纪律 — 不止省 token:ZeroToken 压缩无效上下文/推理/输出;尉缭子十原则约束权限边界、单一指令、先谋后动、验证先于结束;附 Unicode 编码规范、搜索规范、六种任务模式。More than token savings: ZeroToken efficiency + AI coding discipline for Reasonix / Codex / OpenCode / Hermes
1420079678-ctrl
Gates 84.7% of tool-schema prompt tokens away for DeepSeek Harness: plugins declare themselves organs, a nerve impulse routes each command, reflex arcs fire with zero model calls, memory consolidates while idle, every failure is attributed before retry. Reproducible offline, MIT.
TsFreddie
LLM-free lossless* compaction engine for DeepSeek Harness
beihzb
Per-conversation x-opencode-session injection for OpenCode Go in DeepSeek Harness - fixes 400 MissingSessionID without breaking other providers
LouisHaoL
DSH plugin: host-resident scheduled-jobs × AI-agent engine (hermes-agent cron inspired) — 60s ticker fires real agent sessions via cron; pinned-session / project-workdir / default-workspace targeting; timer_agent model tool + web board
justhalfbit
DeepSeek Harness (DSH) 跨会话记忆插件:对话模型边干边记的 Markdown 项目记忆,支持专题文件渐进式披露、可选后台静默蒸馏、按项目隔离与热更新设置面板。机制对齐 Claude Code auto memory。 | Agent-maintained cross-session Markdown memory: progressive-disclosure topic files, opt-in silent distillation, per-project isolation. Claude Code-aligned.
HorusJiang
Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.
freehul
SGME 拾光记忆引擎:AI 全面接管记忆、技能库、WIKI 知识库三大模块,跨会话、多智能体共享记忆,AI 会一直记得你的偏好。ShiGuang Memory Engine · AI takes full charge of three core modules — memory, skills, and wiki knowledge base. Memory is shared across sessions and multiple agents, so your AI always remembers your preferences.
rinDBeans
DeepSeek V4 Pro/Flash unified anchored agent preset for DeepSeek Harness (official API & opencode-go): two-stage RL-aligned bootstrap, model-aware path routing, epoch-aware long-session stability
xinchen03
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 13 tools, DeepSeek Harness plugin.
yangdcm
Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out. 12 role subagents, 9 gated phases, shared-workspace artifacts, zero runtime dependencies.
yoza10635
Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log. 守卫式上下文压缩:LLM 只提议、确定性守卫裁决——逐原子缩放 + 惰性引用图剪枝(0-LLM)+ 追加式日志逐字节召回;压缩率精确兑现,历史永不销毁。
yyyy231209
Company Is a Word. 一句话开一家AI公司 - open-source multi-agent orchestration framework for non-developers. 小白5分钟拥有自己的AI公司,可DIY任意行业、调教子Agent、无限家公司,支持飞书遥控。MIT
Tikzen
Interactive multi-agent collaboration, meetings, group chats, and task execution for DeepSeek Harness.
ZekaiShi
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. Unified subagent routing and evolution: prefercmd/memory serve as knowledge allow/deny lists, saving tokens.
everclear077
Progressive tool discovery for DeepSeek Harness — tiny stable surface, searchable catalog, real pipeline execution, context cache intact.
yindf
Context folding for DeepSeek Harness (DSH): wrap work in named tasks, fold finished spans into short summaries, recall originals on demand.
Asher-2000
Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation