dsh-pua
MichengAI
DSH PUA — 为 DeepSeek Harness 提供 PUA 任务推进、角色风味、验收循环和运行状态卡片 · PUA task persistence, personas, verification loops, and live status cards for DeepSeek Harness
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。
492 个项目,匹配「harness」
MichengAI
DSH PUA — 为 DeepSeek Harness 提供 PUA 任务推进、角色风味、验收循环和运行状态卡片 · PUA task persistence, personas, verification loops, and live status cards for DeepSeek Harness
dsh-plugins
Auxiliary models for DeepSeek Harness: vision understanding and context compression through dedicated model routes. DeepSeek Harness 辅助模型插件:为视觉理解、上下文压缩、审批审查、子代理、会话标题与图片生成提供独立的模型路由、工具与系统提示,全程不触碰主对话模型。
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
QIANLING-0831
DeepSeek Harness (DSH) 记忆插件全家桶:中文可用会话全文检索(FTS5 trigram)、工具结果去重、混合向量+FTS5 记忆检索、跨会话核心记忆、近无损压缩、技能管理器+后台自我进化,以及模型写不到的用户专属层(手写或被固定的技能与记忆,模型工具与后台进化一律改不动)。86 单测;支持 DSH 0.1.5-rc.3 ~ 0.2.x
madage
DeepSeek Harness long-term memory & self-evolving plugin: L0 capture -> L1 memory extraction -> L2 scene grouping -> L3 user persona, auto recall injection + skill synthesis, fully local.
titanwings
DSH 真实浏览器插件:通过 Kimi WebBridge 让 Agent 操作用户已登录的浏览器,并提供 13 个 webbridge_* 工具。 / Let DSH Agents use your signed-in browser through thirteen Kimi WebBridge tools.
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.
9931666
(roundtable V1.0.0)把一次 DeepSeek Harness 会话,从"你和 AI 一对一聊天",升级成"你 + 主持人(DeepSeek) + 一圈专家 AI 开圆桌会
Co-Engram
Self-evolving team memory
Soulize
A DeepSeek Harness (dsh) agent preset for making large engineering tasks deliberate, integrated, and verifiable from the first turn.
dongsheng123132
Open task handoff protocol for DeepSeek Harness, WorkBuddy, Claude Code and Codex — verified state, not chat logs
falling-ts
Aggressive context compaction for local-first agents. Runs Qwen3.8‑27B on self‑hosted llama.cpp at low context, shrinking history so the live prompt stays small, fast, and private—delivering a big‑window experience without API cost or data egress. 面向本地的激进上下文压缩插件。自托管 llama.cpp 低上下文运行 Qwen3.8‑27B,不断收缩历史、保持常驻 prompt 小而快,兼顾隐私与大窗口体验,零 API 成本、数据不出本机。
lincong1987
dsh plugin: flexible model switch for sub‑agent & plan execution. 为子代理和计划执行选择更合适的模型。
xiaoshenming
Repair DeepSeek Harness sessions that refuse to load. 修好打不开的 DSH 会话文件。
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.
Altairpaca
Evidence-backed, explainable multi-model routing for DeepSeek Harness — policy resolution, provenance, and compatibility boundaries.
asukasec
Right-side user-message navigator for the DeepSeek Harness Web UI.
chenzheshushi-commits
Self-evolving memory + skill lifecycle for DeepSeek Harness — durable cross-session memory with zero-token deterministic recall, tiered approval, reinforcement learning from repetition, and anti-bloat convergence for both skills and memory.
isheng-eqi
Hermes-style persistent memory (MEMORY.md / USER.md) for DeepSeek Harness (DSH) — a faithful port of hermes-agent MemoryStore: bounded, file-backed, model-curated, frozen-snapshot injection.
jasen215
DeepSeek Harness (DSH) plugin for self-improving AI agents: continual learning, persistent memory, cross-session knowledge, review-and-refine workflows, and automatic rollback.
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。
Culeot
Cross-session long-term memory plugin for DeepSeek Harness (DSH)
Sky-lll27
DSH 对话管家:跨工作区对话总表 · 正文搜索(中文子串 / 未打开的旧对话也能搜 / 定位到命中那句并读出上下文)· 按时间批量归档 · 回收站式删除(可恢复、分批、不删除正在运行的对话)