Plugins

Provides snapshot-based research and question answering for individual A-share and US stocks.

Lets the agent inject one turn into a chosen session on its own when the host has been idle. Daily cap, active hours, weighted action lottery, per-activity budget, and a policy file re-read on every check. Disabled by default; sends no network requests.

Long-term memory kept as plain Markdown plus git: each session opens with a generated memory-context block assembled from a global store and per-project books (role card, user profile, current focus, routing table, recent logs), the plugin records which memory files the agent read and reminds it to extract conclusions while the day's log is unextracted, personas live in roles/<role>/SOUL.md role cards, and it ships a seven-tab settings page in the sidebar plus four skills. Requires Python 3.10+.

Static-context audit for a DSH home: a six-layer baseline (rules, memory, skills, tool surface, sessions, KB), broken-path checks for a markdown capability map, memory duplicate/stale/over-limit reports, SKILL.md description compression, and tool-surface plus cold-start static-context estimates recovered from session logs. Four read-only DSH tools; writes require --apply and are backed up first. Requires Python 3.10+ on the host (stdlib only; all four tools shell out to the bundled CLI).

Per-workspace session defaults for DeepSeek Harness: save the Agent preset, permission preset, model, reasoning effort, Chat work-details level and collapse timing per workspace; new or reused blank sessions in that workspace start from them.

Ships the Codex UI 1.1.49 sidebar inside the plugin itself, so no upstream release can change the interface, and adds a real delete to the session menu: it provides the remote.workspaceRegistry.deleteSession service, unhides the per-session ... button, and permanently removes the session log, workspace records and projection cache, with subagent and forked conversations selectable in a family-tree dialog. Bundles the Codex UI 1.1.49 sidebar from MichengAI/dsh-codex-ui (Apache-2.0) — do not install both; the delete engine is adapted from Lzcdebear/better-dsh-session-deletetool (MIT).

Read, message and live-follow local DeepSeek Harness sessions from inside an agent: four tools (session_list, session_read, session_send, session_chat) plus a matching Python CLI, over the desktop app local RPC; transcripts also read offline. Requires Python 3.10+; offline transcript reads also need the zstd CLI.

Remembers the reasoning effort you explicitly chose for each provider and model and restores it when you switch back, without replacing DSH's own model picker.

Native generation-time Mixture-of-Agents: every turn, reference models run the same session context in parallel as pre-run drafts and one aggregator executes with full tooling; config-as-model recipes, F mirror / R trimmed views, enforced subagent gating (dual-shape session indexing), derived per-recipe vision (vision refs relay image reads to text-only aggregators), tiered cadence with separate steering and patrol rosters plus frozen reuse between beats, degeneration guard dropping degenerate reference output, anonymized model face (failure notices carry no provider identity), and cache-friendly guidance placement (the rehearsal record is pinned where it was produced instead of appended to every request, so the cached prefix covers it and each step pays only for what was added since - on by default across every cadence).

A Telegram bot plugin for DeepSeek Harness, with shared sessions, image input, and interactive agent conversations

Give your DeepSeek Harness agent an addressable visual memory: revisit any image, inspect any region, and read exact pixels.

Progressive disclosure agent preset and call directory tool that starts from a minimal baseline and unlocks tools, skills, and MCP servers on demand.

Action Hub for DSH: a standard Agent Skill library whose SKILL.md files can run as model-visible Skills or user-only Commands, with groups, project scopes, import/export and a native Alt+A palette.

DeepSeek Harness skill bundle for Hearts of Iron IV 1.19.3 modding: registers 15 skills and mounts 20 local MCP tools (a Python stdio server) to scaffold, statically verify, install and debug mods - focus trees, events, decisions, ideas, characters, technologies, MIO, special projects, scripted GUI and topbar buttons, localisation, DDS icons, 18-slot tank designer layouts, 3D tank models, CJK font auditing and error.log triage - plus a 23-workshop-mod technique survey and a multi-agent playbook. Requires DSH >=0.2.0 <0.3.0 and Python 3.9+ on PATH (standard library only, no third-party packages); no game assets are shipped.

Read PDF, DOCX, XLSX, PPTX and text documents as agent tools, and OCR scanned PDFs or images locally with tesseract.js. Exposes doc_read, pdf_read, xlsx_read, doc_meta and doc_ocr.

Project-level MCP servers loaded automatically: a project declares them in `.agents/mcp.json` (path and root markers configurable), and every session working inside that project mounts them in its own scope — stdio and Streamable HTTP, tools named `mcp__<server>__<tool>` — with the connections closed when the session ends. A Web UI panel lists the session's servers and their tools, and can enable or disable a project entry after confirmation, backing up and atomically rewriting the manifest.

Auditable mathematical proving for DeepSeek Harness: a local stdio MCP server with 23 machine-checking tools, a bundled workflow skill, and the /prove and /audit-proof commands. proven, refuted and inconclusive are never conflated, and unproven steps are reported instead of hidden. Needs Python 3.10+ with pip install -r requirements.txt on first run; the 23 tools are unavailable until then.

Ships a minimal lesson ledger: brief.ps1 to look up past pitfalls, add-lesson.ps1 to record new ones, deployed into the skills directory and wired into AGENTS.md by the installer. The model checks it before working and turns what it hits into rules, so the same mistake is not made twice. This plugin watches whether that actually happens and shows the result in a tab and under the composer.

Adds backup-then-delete and delete-only actions to the DSH session menu: a safe session-delete tool that copies the session directory, its projection cache and a metadata snapshot to a local archive folder and checks them file by file before deleting a session to free disk space; subagent sessions it spawned are handled in the same run, and each backup folder keeps a RESTORE.txt with recovery steps.

Better Session Topbar: replaces the session topbar title with a workspace and session breadcrumb, switching workspaces, sessions and subagents from topbar dropdowns; adding a workspace hands off to the host's own directory picker, which is the OS folder dialog on desktop.

Folds the built-in subagent dropdown into History / Today / Previous / Current groups by usage batch, keeping the current batch expanded; the original header is left untouched.

Inspect the files an agent touched, review session artifacts, preview bounded content, and manage local Workspace Memory without leaving the conversation.

Multi-directory workspaces for DeepSeek Harness.

Claude Code (the official, unmodified binary, via the Agent SDK) as a model provider and subagent inside DeepSeek Harness