Plugins

Task-scoped Workspace to Task to Session control center for DSH Web, with Session boards, archived conversation viewing, and bounded long-term memory shared across linked Sessions.

Turns the user into an RPG protagonist: after each finished user turn a random "adventure" may trigger, drawn from 700+ events across 7 themed pools (sci-fi, fantasy, ancient, anime, novels, wuxia, urban), growing six persistent attributes (strength, intelligence, agility, charisma, luck, vitality) with XP, levels and attribute-weighted story branches, configured via a settings-page UI.

Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.

Achievement system for the DSH Web UI: gallery with category/rarity sorting, unlock toasts, sidebar trophy, composer dock, crossover achievements, and local persistence.

Alternative plugin market for DSH: curated catalog plus live GitHub browsing, zh/en cross-language search, a fail-closed pre-install static security audit with an install-hook block, and per-plugin README viewing with garbled-encoding repair.

Sound + popup when a task completes: a Web Audio chime, an in-page toast, and a system notification while the page is in the background (browser-only, cross-platform).

Agent-callable vision tool that describes local images via any OpenAI-compatible vision endpoint you configure, with an optional multi-model cross-check and no built-in keys.

Offline diagnostic for DSH: 19 checks across env, profile, and session state, with a settings "Doctor" panel and a read-only JSON API.

DSH port of TaskPlane: dependency-ordered waves run in parallel git-worktree lanes, with task packets, cross-model review, and crash recovery.

Export the current session to portable, schema-versioned Markdown and JSON files via the `session_export` tool and slash commands, with cross-platform-safe filenames.

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.

Replaces the reasoning-effort dropdown with a draggable snapping slider, and draws 13 canvas effects across five style families (thrust, fluid, fantasy, tech, texture) with three tiers that unlock as the effort level rises. Custom mode combines 10 particle forms with 8 flow trajectories; 9 accent presets and a hex picker recolor every effect, and optional key sounds cover two voice clips, a synthesized duck squeak, a mechanical click and a local audio file.

English edition of Weiwen's Law (KISS's Law): the first and only domain-agnostic white-box causal adjudication middleware for AI agents. Unlike domain-specific causal-inference tooling (statistics/economics/ML) or evidence-gated agent firewalls, it adjudicates *every* tool call along a deterministic structural causal chain (R->S->D->H->M) before execution - across any domain, with no training or per-domain tuning. It blocks destructive and credential-file operations, escalates repeated boundary violations, cuts faulting links until verified-fixed, and gives risk verdicts on un-auditable execution; runs fully local with zero API cost.

Manage DSH skills and commands from Settings: list, enable/disable, edit, delete and add skills across global and project scopes, and save reusable prompts as slash commands.

Merges other sessions' context into the current turn: evidence-weighted conflict resolution, retraction of claims whose premises were retracted, trust labelling that resists cross-session prompt injection, and budget-bounded packing. Ships a benchmark.

Mind-map project planning with blocking drift protection: plans, modules and tasks as a dependency DAG with topological execution order, an agent position marker, a human approval gate on every board edit, git cross-checks, and evidence-gated task completion.

Per-project memory for DeepSeek Harness. Three Markdown files per workspace — PROJECT.md, DECISIONS.md and SESSIONS.md — are auto-created on the first step of any session in that workspace, re-read from disk and re-injected only when they change (and re-injected if compaction dropped them), and written back by classification through a memory_checkpoint tool, with a bounded end-of-turn nudge when a turn did work but recorded nothing. memory_read and memory_search read the live log and the archive, the latter over a zero-dependency BM25 index. The session log is capped at 200 entries with the overflow moved to SESSIONS-archive.md — never injected, but visible, readable and searchable, and restorable one entry at a time. Settings page: a workspace list with a path filter, read-only tabs for the three memory files plus the archive, reload, export/import of one workspace's memory as a JSON bundle, a two-step clear, a panel that rewrites or removes the AGENTS.md instruction block, and a PROJECT.md staleness reminder. A composer status chip shows that workspace's sync state and creates the files on click. Zero dependencies — no vector store, no embeddings, and no model calls.

Session instruction anchor for DeepSeek Harness: the first step of a new session injects a freely composed instruction block as a plugin-sourced message, and it is re-anchored after a summarizing compaction, every N turns, or when metered context pressure crosses a threshold. An /anchor command re-anchors on demand without a model call; a settings page manages the paged preset library, injection order, re-anchor source and character limits.

In-process cross-session communication, peer session creation, and shared blackboard for DeepSeek Harness.

Self-tending living memory in one local SQLite file — a nightly patrol dedupes, merges, decays and cross-links entries on its own, with seven-signal RRF hybrid recall (FTS5 + jieba Chinese-first tokenization, optional vector KNN, graph PPR), a typed knowledge graph, conflict detection instead of silent overwrites, and web telemetry panels.

Goal mode and autonomous execution plugin for DeepSeek Harness: a sticky top banner keeps the current goal visible across turns while the agent works toward it autonomously.

An RTS-style orchestration dashboard where commands replace chats: a resident commander agent decomposes each order into task briefs with acceptance criteria, typed subagent troops (recon/engineer/medic/scribe) execute them across isolated workspaces, and every session is indexed by the order that started it.

Explicit cross-session work state for DeepSeek Harness: goals, decisions and next steps captured automatically from host events or via a model-visible work_state tool, inspectable with /checkpoint.

Whole-report verification for scientific reports: per-claim checks against Crossref, PubMed (retraction scan), ClinicalTrials.gov, UniProtKB, GEO/SRA and PatentsView, URL accessibility and title agreement, claim-vs-source meaning at temperature 0, and a durable restartable audit ledger with an annotated report.