プラグイン

DeepSeek Harness 用の 3 層ローカルメモリ：L1 スナップショットメモリ（MEMORY.md/USER.md）を memory_* ツール経由でオンデマンドに読み出し + L2 検索可能なナレッジベース（事実 + SQLite FTS5、スライディングウィンドウ分割による中国語検索）+ L3 Hermes/Claude Code/Codex/WorkBuddy および承認済み Agent Hub ドキュメント（memory/global、memory/projects、承認済み決定）からの取り込み（内容ハッシュで重複排除）。v0.2.0 では自動注入をすべて廃止し、モデルが 12 個の memory_* ツールのいずれかを呼んだときだけメモリがコンテキストに入り、データはローカルドライブに留まります。

DeepSeek Harness のエージェント機能を MCP サーバーとして公開し、外部の MCP クライアント(例: Hermes)から Harness を操作してコーディングタスクを実行できるようにします。Hermes が頭脳、Harness が手足という構成です。

Reflect2Evolve memory plugin: layered L1/L2/L3 memory, reflection-weighted value backprop, cross-task policy induction, skill crystallization, and three-tier retrieval for OpenClaw, Hermes Agent, and DeepSeek Harness.

Security-audit facts AI coding agents cannot compute, plus a verdict gate: euthyna history attributes deleted lines to commits and flags those from security fixes (--origins finds the first introducer), euthyna coverage reports which changed symbols no test ever invoked, and euthyna gate checks each finding against six gates, downgrading any without evidence to an observation.

Pool AI provider accounts per platform and route them through a local loopback proxy that bridges the OpenAI, OpenAI-Responses, Anthropic and Gemini protocols, then write the proxy into Codex, Claude Code, Gemini CLI, Grok, OpenCode, OpenClaw and Hermes config files with snapshot-and-rollback safe writes; registers no agent tools.

dsh (DeepSeek Harness) 跨 agent 信箱插件：让 dsh 会话内的 agent 通过 agent-mailbox 与本机其他 agent（Claude Code / OpenCode / Hermes…）互发消息、收任务卡、卡动即唤醒。零 npm 依赖，Node 22 即装即用。

Bidirectional bridge between Hermes Agent and DeepSeek Harness. Hermes dispatches focused tasks via JSON-RPC over POST /mcp/collab (one-shot or continuable, nonce-bound amend, secret-bound consult reply); DSH lets you continue Hermes sessions as native DS

DeepSeek Harness web UI 向けの Git ソース管理サイドバー：リポジトリ初期化、ステージング、commit/push/pull、ブランチとリモートの管理、AI による Conventional Commits メッセージ生成、コミット履歴グラフ。

DeepSeek Harness 向けの永続的な長期ペルソナメモリ機能。MEMORY.md/USER.md への保存、memory・memory_search ツール、リクエストごとのコンテキスト注入、機密情報スキャンに対応します。pi-hermes-memory の思想を受け継いだ移植版です。

Cross-agent token usage dashboard: aggregates local conversation logs from Claude Code, OpenCode, Cursor IDE, DSH, OpenClaw, CodeWhale, Hermes and more into a persistent ledger that survives log deletion, with cache-hit rate, cost estimation, period comparison and day drill-down analytics in a sidebar panel.

Scoped persistent memory for DSH: memory_save/search/replace/remove/list across global, user, project and failure scopes, DSH storage-domain persistence with secret and prompt-injection scanning, session-scope search, retention cleanup, and optional session-start injection; standing context via memory_pin/memory_pins/memory_unpin.

Tiered task queue as the single source of truth for DSH↔Hermes work (reset > approve > review): enqueue tools for all submission paths, lease/claim model with concurrency 1, priority aging against starvation, atomic busy mutex, and a Hermes-side consumer (cron */1 + monitor gating) that drains tasks, writes review-handoff requests with single-slot checks, and invokes the reset agent.

Auto-approval agent for DSH permission requests: rule layer (denyAlways/allowlist) plus Hermes Pro semantic adjudication with quick-fail retries, fail-closed to human when Hermes is unavailable, rejection feedback returned to the requesting session, and approve tasks enqueued into the task queue with a shared busy mutex.

A standalone desktop pet for the DeepSeek Harness web GUI, powered by your local Hermes Agent — with real conversation, long-term memory, and persona.

Nous Portal free-tier provider for dsh: Portal OAuth (device-code) agent-key lifecycle behind an OpenAI-compatible harness route

Hermes-style self-evolution for DeepSeek Harness: a skill_manage tool that lets the agent save proven procedures as skills, prompt guidance for when to save them, usage tracking, and a background curator that keeps the self-authored skill library healthy

给 DeepSeek Harness（DSH / DeepSeek Hermes）加语音能力的社区插件：输入框语音输入（可配快捷键）+ 回答朗读（微软 Edge 神经网络音色，可换音色、可试听），无需 API Key。

Task-queue execution endpoint for DSH: requires a separately self-deployed Hermes Agent gateway plus your own WeChat inbound script; verified on a single environment — expect to adapt it.

Import chat history and memory from other AI agents (Claude Code, Codex CLI, Gemini CLI, Aider, Cline, OpenCode, Hermes Agent, OpenClaw) into DeepSeek Harness