Plugins

Feishu/Lark IM channel for DeepSeek Harness agents with native thinking-process messages, approval cards, live goal and todo cards, workflow fan-out lines, session text search, and background job and subagent settlement notices. Access is bounded by the Feishu app's own visibility scope by design — anyone the app admits can drive the agent and answer its approvals unless the optional sender, group and approver allowlists are filled in.

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.

Cross-session memory plugin for DSH (v0.6.1, npm @asherliner/dsh-memory-connect): auto-extraction, SQLite FTS5 indexing, RRF semantic recall injected into the system prompt every turn, scheduled maintenance, LLM-powered consolidation via ctx.llm, context explosion prevention, and global Soul identity via ~/.dsh/soul.md. v0.5.0 added temporal context graph (valid_from/valid_until/supersedes, append-only corrections via reviseMemory), trust model (recalled history injected as untrusted reference, current instruction always wins), turn-end summarization. v0.6.0 added local semantic embeddings (BAAI/bge-small-zh-v1.5 via embed_server.py, cosine + RRF fusion with FTS5, no cloud calls, ~232 msgs/sec on CPU). v0.6.1 fixed ~ expansion in path config. Zero-config install.

Multi-tenant primitives for DeepSeek Harness (DSH): tenant identity, immutable session ownership, fail-closed authorization, and a replaceable ownership-store contract.

100+ multi platform social-media data skills, plus 40 native MCP tools covering data APIs, AI search and AI generation — all installable with one command.

A slim port of Headroom: compresses tool output, cuts up to 20% of context, without affecting the model's context cache or agent performance.

Learning Mode agent preset: a coding agent that teaches while coding — concrete scenario-grounded explanations, Socratic guidance, and TODO(你) practice blanks, modeled on Claude Code's Learning output style; installable via dsh plugin add (dsh-learning-mode on npm).

Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.

Wallpaper Engine integration for the dsh web GUI: scan the local WE library (Steam workshop 431960 + local projects) and use its wallpapers as the page background — image/video/web rendered natively, scene wallpapers as softened static previews — with a wallpaper-design panel (opacity, scope, blur, vignette, fps, parallax, carousel, theme linkage) and agent tools wallpaper_scan/list/set/config.

A marquee mood-light ring around the DSH web UI edge that reacts to session state, turning green while the agent works, pink when done, and yellow when something needs attention, with colors, ring width, rotation speed, and flash frequency configurable from the settings panel.

Deep-collaboration writing agent for DSH: per-user writing-style learning from edit pairs, clarify→outline→section-writing→red-team→reader-gallery flow, project-to-report synthesis (lab report / product intro / survey / README), 41 MCP tools, and web selection-improve UI with in-app file preview.

Execution-discipline suite for DSH with identical-retry interception, forced reflection, todo enforcement, memory deduplication, and experience-to-skill promotion (11 plugins + 6 skills).

Agent Client Protocol (ACP) server plugin for the DeepSeek Harness (dsh) — drive dsh agents from Zed and any ACP client

Structural code intelligence for DeepSeek Harness — gives the agent codegraph and codegraph_index tools to find where a symbol is declared, what calls it, what a change reaches, and how one symbol reaches another, from a tree-sitter index it builds itself

Wallpaper Engine integration for the dsh web GUI: scan the local WE library (Steam workshop 431960 + local projects) and use its wallpapers as the page background — image/video/web rendered natively, scene wallpapers as softened static previews — with a 壁纸设计 panel (opacity, scope, fill, blur, vignette, fps, parallax, carousel, theme linkage) and agent tools wallpaper_scan/list/set/config.

Runs work as a crew of role agents: a product manager writes the PRD or DoD, waits for your confirmation, then starts architect, engineer, QA and reviewers whose tool sets are locked per role, and shares work through files on disk.

Codex Pets-style floating pixel pet with 10 built-in Petdex-compatible pets, a 9-state agent-status engine (idle/running/waiting/review/failed plus client-side waving/jumping/directions), draggable overlay, pet picker/zoom settings, notification bubbles, and a `pet_say` tool for the agent to speak through the pet.

Model high-availability failover (quarantine, circuit breaking, probe recovery) and subagent orchestration (fanout/pipeline/supervisor) with bilingual settings UI.

Search-first capability workflow for DSH agents (v1.0.0): reuse local tools or review exact-source plugins before installation, adapt or create capabilities in managed source work, and use receipts that distinguish installed, loaded, activated, and verified states; version tools cover rollback, adoption, and upstream updates.

Finance data toolkit for DSH agents: number and currency formatting (incl. Chinese wan/yi units), return and CAGR math, valuation and profitability ratios, PV/FV, risk metrics, and a data-quality checklist.

Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.

Biomimetic memory system for DeepSeek Harness: a single SQLite store (node:sqlite, WAL) whose Markdown tree is kept as a read-only mirror; memory tools, frozen-snapshot injection at session start, graded approval gating, on-demand extraction of the current session, near-duplicate merging, an archive and supersede lifecycle, memory metabolism (dream), memory pins, semantic recall over local embeddings, and the /memory command.

Knowledge-base-driven agent preset: wiki long-term memory, a web KB UI, a management page and optional UI polish.

Move a session to another folder from the Web UI via drag & drop or a menu picker, permanently delete a session with a risk-consent dialog, and AI-rename a session by summarizing the whole conversation (typo-aware). Each action also ships as an agent tool.