Agent collaboration · DeepSeek Harness plugins — Page 245

Preset-selected Codex App Server Agent Runtime for DeepSeek Harness

Emil Kowalski's design-engineering skills — motion, UI polish, Apple design, mobile-native, Swift — bundled as a DeepSeek Harness plugin.

Emu 影像工作台 for DeepSeek Harness — 多供应商生图/改图/模型可用性探测 + Emu 独家 opencode 许愿 Agent

One install for SpecFlow, GitFlow, Guardian, and Code Intel on DeepSeek Harness.

Minimalist long-term memory for DeepSeek Harness, distilling symbolic-index + pi-esr ideas: zero-LLM auto-capture, a symbolic [ENGRAM] index with progressive disclosure, and an ESR-lite evidence-closure protocol (esr_task / esr_node / esr_close / esr_link). Real agent-behaviour telemetry (usage rollup + /stats) and a deterministic offline recall benchmark (npm run eval). Hot path is model-free; storage on ctx.storageDomain; web memory viewer, observability panel and config card through DSH's native settings slots.

Per-session Engram memory for DeepSeek Harness: spawns an engram MCP child per agent session rooted at the session workspace, registers mem_* tools per agent scope, and injects the Memory Protocol as a system-prompt section.

入口塑造（payload shaping）：按类别给会话元素排 op 链（reasoning / toolResult / toolArgs / assistantText），在元素被首次发送前定型；代理通道在 wire 层塑形 ⇒ 日志与界面保留原文、前缀单调、零断点税。

Environment facts for DeepSeek Harness — injects today, platform, os_version, and harness_version into system prompt variables

Zero-dependency DeepSeek Harness (dsh) plugin: probes the local machine environment (OS / shells / runtimes / tools / disks / proxy) once, caches the report, and injects it into every session's system prompt so the agent starts each conversation already knowing what this computer offers. Adds /env-refresh and /env-suggest slash commands where a command adapter is composed.

Minimal epoch bootstrap, full-tool promotion, and hard handoff compaction for DeepSeek Harness

DSH 插件配装引擎：任务 → 双检索(规则+LLM) → 组合评分(协同/冲突/成本/信任) → 配装建议。区别于目录/搜索：按任务自动配整套插件，含冲突检测与安装命令导出。

错误处理模式：错误分层、类型化错误、优雅失败、可观测性。受 wshobson/agents（38k★ MIT）启发。

Three-mode visible-session advisor plugin for DeepSeek Harness with configurable tool permissions, local-subagent coverage, and task-tree budgets.

ETeams for DeepSeek Harness: captain-led multi-agent team collaboration with execution chains, task slots, member dialogs and persistent state

ETeams for DeepSeek Harness: captain-led multi-agent team collaboration with execution chains, task slots, member dialogs and persistent state

Agent evaluation platform: benchmark YAML, headless run orchestration, trace-based metrics, and run reports

SQL 优化模式：EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents（38k★ MIT）启发。

DSH adapter for everything-wp — WordPress plugin dev AI toolkit. Phase 3: 18 commands + 5 agents with mode gating and inline rules.

Evidence-first multi-model coding comparison workbench for DeepSeek Harness

Bundled evidence-first knowledge work skill for DeepSeek Harness

Proof-carrying Skill self-evolution for DeepSeek Harness.

Evidence-driven runtime optimization for DeepSeek Harness: deterministic stuck detection + STRATEGY_RESET intervention, as a detachable DSH plugin.

Self-evolving memory + skill lifecycle for DeepSeek Harness. Cross-session memory with zero-token deterministic recall (bigram-Jaccard fused with FTS5 BM25 via RRF), a tiered approval gate, and reinforcement that strengthens what you repeat. Procedural knowledge crystallizes into SKILL.md files that refine in place and are curated through an active-stale-archived lifecycle (reversible archive, pre-op backups, rollback, never deletes). Includes background per-turn review, anti-bloat convergence for both skills and memory, an auto-grown user profile, and a web settings page.

Auditable, verifier-gated self-evolution for DeepSeek Harness.