Plugins

One shared Obsidian vault for every agent: dependency-free Python core (search/promote/adjudicate/forget), vault template, dsh plugin (memory_search/show/submit/status).

Scans 20+ AI agents on this machine (Codex, Claude Code, cc-switch, Hermes, opencode, Gemini, Grok, Kimi, CodeBuddy, Trae, OpenClaw, Qoder, WorkBuddy, Zcode, Cursor, Windsurf, Cline, Roo Code, Qwen Code, ...) and one-click syncs, manages and adds their MCP servers and skills into DSH — global or per-workspace.

Hook DeepSeek Harness into a Hermes pipeline: dispatch-spec template, model-tier routing, orchestrator-run quality gates, git single-writer rule, as a SKILL.md pack (bundle installable).

Loopback-first multi-agent message relay: HMAC-authenticated broker plus dsh plugin (relay_send/recv/peers/history), zero-dependency CLI and Python clients, wire protocol v1.0.

Fully local long-term memory for dsh: cross-conversation and cross-project, stored as a single JSON file on your machine with no network calls, no model calls and no API key. Ships memory_save, memory_search, memory_list, memory_forget and memory_review tools, keyword-and-tag recall injected before each turn with adjustable ranking weights, Markdown import (including Kun and Hermes Agent formats) and export (native and Hermes Agent formats), and a settings page to browse and edit memories.

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

Sidebar skill picker: lists installed skills with Global and repo badges, session checks plus persistent auto-start, optional Guard, Codex/Grok/Hermes user skills, and /skill injection.

DeepSeek Harness 插件：把本机已登录的 WorkBuddy / WorkBuddy AI / Hermes Agent 大模型接入 DSH 模型库，显示与 Agent 一致的模型名称、积分倍率与免费额度。

Hermes in the DSH sidebar: start and stop the gateway and dashboard, watch the dashboard beside the chat, and bridge DSH to Hermes. Windows only; requires an existing Hermes install.

Cross-session long-term memory backed by a local Go service (~50MB RAM, SQLite-vec + verify-augmented claims): zero-lag recall injection on every user message, session-end transcript ingest, and memory_search / memory_logs / memory_ingest tools. Install with `dsh plugin --profile web add @djasdh/interest-memory-dsh-bridge`. Protocol bridge only: the Go service is not installed by `dsh plugin add` — install and start it per the repository README first; until it runs, the tools silently return nothing.

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.

Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.

Reviews each finished turn, distills reusable skills as drafts, runs code-level checks over them, and holds each draft until the user approves or rejects it with a directive; every write is recorded in a SHA-256 ledger that supports rolling back a single entry. On by default, it reviews finished turns with the current session model (or an OpenAI-compatible endpoint set through DSH_EVOLUTION_BASE_URL), sending a bounded excerpt of the conversation, and writes drafts to ~/.dsh/skills/.staging until you promote them. Its bundle patch lowers DSH's skill-catalog description limit from 500 to 80 characters for every skill, and it starts an unauthenticated HTTP server on 0.0.0.0:18890 (DSH_EVOLUTION_PORT) that can list and promote drafts, change settings and trigger reviews.

Imports skills from a local Hermes Agent installation into DSH. It scans the Hermes home directories and each profile below them, lists every skill with its description, file count and size, and copies a selected skill into the DSH global skills root or into one project, keeping the original folder name. Only a frontmatter name that DSH would reject is rewritten, an existing skill of the same name is never overwritten without a choice, and several skills can be imported in one batch with a per-item report.

Bundled Pixiv skill backed by a Python CLI: search illustrations, manga and novels, browse daily/weekly/monthly/rookie/original/AI/R-18 rankings, look up works, novel series and artists, and download originals, with multi-page works merged into PDF, ugoira converted to GIF and novel series merged into TXT; requires Python 3.9+ with requests, img2pdf and Pillow installed (pip install -r requirements.txt), and R-18 content needs your own Pixiv cookie.

Reads a local Hermes Agent session store read-only and imports sessions into the current conversation as bounded, untrusted background context: a composer button opens a searchable list across every profile, plus the hermes_sessions_list and hermes_session_import tools.

Agent mode picker for DSH: pick an external Agent CLI (Claude Code, Codex, Qwen Code, Gemini CLI, Aider, Goose, Hermes…) as the session's default executor from a control next to the input box, instead of editing configuration files. The agent roster is data-driven, and installed CLIs are discovered automatically from PATH, the managed CLI directory and a drop-in convention directory. Agents that are installed but still missing credentials or a required background service are shown as "needs setup" rather than silently hidden.

Layered long-term memory for DeepSeek Harness with automatic model distillation, source-linked encrypted session logs, and guarded compaction.

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.

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。

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.

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

Git source-control sidebar for the DeepSeek Harness web UI: repo init, staging, commit/push/pull, branch & remote management, AI-generated Conventional Commits messages, and a commit-history graph.