Plugins

Browser notifications and a beep when a session turn ends, the agent asks a question or approval is pending; clicking the notification jumps to the session; remote trigger endpoint and SSE channel (npm: `bsfeng-dsh-notify`).

SVN (Subversion) toolset for DeepSeek Harness: 33 agent tools (status, diff, log, blame, commit, merge, props, lock, changelist...) plus a sidebar panel with side-by-side BASE/working-copy diff, conflict resolution and AI commit logs.

Adds a subagent_codex tool that delegates tasks to the local OpenAI Codex CLI, running the work in an isolated external process.

Mixture-of-Agents plugin for DeepSeek Harness: a /moa slash command fans a prompt out to multiple models in parallel, merges their responses in a file workspace, and integrates with Live Canvas for visual output.

Runs TiddlyWiki 5 as the DSH persistent knowledge base: ten tiddlywiki_* agent tools (filtered search, read/write/batch/rename/delete, recent, tags, git sync with conflict resolve), a full TiddlyWiki editor embedded in the GUI center column over a same-origin proxy, a right-side wiki tab, a per-session tab summarizing the notes a session read or wrote, a quick-note card with draft auto-save, and an optional clip bookmarklet with image attachment — all backed by an auto-committing git repository.

Prompt enhancement for the composer: an "✨ Enhance" button rewrites your draft prompt into a clearer, more structured version with first-principles thinking, grounded in session context, memory and recent conversation; asks clarifying questions in a card when key info is missing, then previews the result before applying it to the input.

DeepSeek Harness plugin that blocks risky npm installs with metadata and deep supply-chain scans

Read-only trajectory review in a resizable conversation sidebar, with rule analysis, optional model explanations, evidence navigation, and same-range run comparison.

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

Visible Electron browser for DSH with one shared BrowserWindow, isolated task views, explicit human-Agent handoff, snapshot-reference and native navigation tools, operation trails, demand-driven page thumbnails, and keyed session recovery for reliable tab switching and closing.

Agent-driven kanban board: one board per workspace, per-task agent sessions, and a guarded human/agent workflow (Backlog → To Do → In Progress → Review → Done).

Creates and inspects RecoWork local-agent-project workspaces through two bounded DSH tools and a web workspace card.

Embedded MCP server letting external agents (Hermes, Claude Code, etc.) drive DeepSeek Harness over StreamableHTTP: sync/async task execution, a three-tier file sandbox, a Web-backed approval bridge, session management and search, and path-jailed file tools.

Manage Git-backed DSH plugin markets, installed agent skills and optional Codex hooks from the web settings page.

DSH plugin bridging agents to Cheat Engine for dynamic memory debugging: scanning, pointer analysis, breakpoints, and game memory hacking.

Connects your GitHub account to DSH agents from the composer GitHub button (OAuth device flow or personal access token) and lets them call the GitHub API through the github_api tool.

Named subagent roster: manage role entries (model, persona, tool filter, depth, background mode) from a hot-reloaded settings page; the model picks one with list_subagents and dispatches by id with delegate — foreground, background, or continuable.

Deep research as an agent mode: one reviewed loop that plans, researches in adaptive parallel rounds driven by the gaps the researchers themselves declare, synthesises a cited report and then reviews it adversarially, instead of a script the model rewrites per call. Questions the round budget never reached are named in the report rather than dropped.

Claim-verification skill that checks design documents and plans against codebase facts, escalating behavioral claims to executable logic-primitive verification for state machines and data models, with before/after regression, domain constraints, and concurrency risk mining.

A thinking level stored per provider and model, so reasoning effort outlives the session it was set in and also reaches subagents, which dsh never asks. The in-session picker still wins, and a model with no row keeps its provider default.

Per provider/model generation concurrency, with a settings card: a cap on how many sessions may stream at once, enforced at the stream and again at subagent spawn, where a fan-out past the cap waits in a FIFO queue instead of failing.

After each completed agent turn, a bounded auxiliary LLM call writes one suggested next prompt into the session log; the web composer renders it as ghost placeholder text, adopted via Tab.

Durable multi-agent collaboration for DeepSeek Harness with channels, threads, tasks, and resumable agent sessions.

Agent preset for DeepSeek Harness that layers the self-referential Cordis toolset (dynamic plugins, runtime inspection) and preset-authoring skills onto the PTC Code-Mode preset; materialized files carry per-file sha256 markers, so user-edited presets are never overwritten on upgrade or uninstall.