Plugins

StrataGate gives DeepSeek Harness evolving, local-first long-term memory for user preferences, project decisions, conversations, and tool results across sessions; it layers history with user-tunable time decay, reinforces memories through real answer use, shows workspace-aware usage counts, and keeps recalled evidence traceable to its original messages.

Memory profile composition with Chinese session search, hybrid recall, persistent workspace facts, user-pinned rules and reusable native skills. Install the standalone versioned Release bundle with one dsh plugin add command. Requires Node.js 24 and pnpm on PATH.

Local literature knowledge-base RAG: 10 tools (kb_ingest, kb_search, kb_rag, kb_zotero, kb_dedup, kb_clear, kb_fetch, kb_scope, kb_stats, kb_status), hybrid BM25+vector+reranker search, cited QA with clickable DOI links, all-local bge embeddings over a single-file SQLite index. Needs Python 3.9+ with pymupdf, faiss-cpu and sentence-transformers; the `npx dsh-kb-rag-install` installer sets those up and pre-downloads the model.

Local literature knowledge-base RAG for DSH: hybrid BM25 + vector retrieval, cross-encoder reranking, cited answers with section- and page-level provenance, metadata-only refresh and background ingest with progress polling, over a SQLite index.

Long-term memory & self-evolving plugin for DSH: L0 capture → L1 memory extraction → L2 scene grouping → L3 user persona, auto recall injection, skill synthesis, fully local (SQLite FTS5 + jieba, optional vector recall).

Local-first learning mode: cross-session learning threads with per-source explanations.

Learning mode that explains each agent step (WIP).

Header quota badge plus a usage-monitoring tab: live balance/quota remaining and reset countdown per provider, with requests, tokens (input/output/cache-read/cache-write), cache hit rate, estimated cost and average latency tracked per session, provider, model and client, stored locally in SQLite with cross-device import/export.

AI Company Framework: turn one sentence into a multi-agent company — 15 flat Skills (boss/pipeline/role-template/11 roles/generic customer-memory), 7 workflow templates, AgentTeams runtime + activity panel, employee sidebar with per-session isolation, Feishu bot bridge (boss and per-employee bots, group routing, autonomous push, human decision gate, external-contact guide), per-customer SQLite memory with three-layer memory (cross-group merge), /company mode switch; no RAG.

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.

MySQL connector for DeepSeek Harness: configure multiple connections in the settings page with per-connection table allowlist and write permission, switch the active connection from the composer, and expose mysql_query / mysql_tables / mysql_execute tools to every agent preset.

Database tools for agents: list/query/exec/schema/stats/health across SQLite/MySQL/PostgreSQL, with lexer-grade read-only protection, row caps, CSV/JSON query output and an approval-gated write path.

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.

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

Chat-operated multi-database admin plugin for DeepSeek Harness: query and manage MySQL, PostgreSQL, GaussDB, MongoDB, Redis, Oracle, DM and SQLite from the conversation with project-scoped ro/rw grants, a sidebar management panel, schema browsing and data preview, and confirmation-gated dangerous operations.

Turns the main model into a dispatcher: six pools (economy/mechanical/main/hard/vision/review) route each subtask to the right model, with ranking and per-route reasoning-effort pins. A context watermark (50k/90k/130k) nudges delegation early and, at the force level, forks a backup session, writes a handover doc, compacts, and continues without losing in-flight subagent work; /ctx-pause, /ctx-resume and /ctx-handover pause, resume or trigger the same machinery by hand. Optional Agent Teams mode adds persistent teammates and a shared task board; /vision lets text-only models handle images via the vision pool; tiered verification sends bigger diffs to a tester and an independent reviewer. Settings UI, READMEs and the conversation / code-comment / document language preferences all cover the same 11 languages (en, zh, zh-TW, ja, ko, de, es, fr, it, pt, ru); the plugin UI follows the DSH app locale unless forced otherwise. Bundles three skills: read-only MySQL/Redis verification, commit-message generation, and a requirements/design document convention.

Database explorer panel for DeepSeek Harness: connect SQLite, MySQL/MariaDB, PostgreSQL, SQL Server, MongoDB, ClickHouse, Redis, Elasticsearch and Qdrant from a third Conversation tab — browse schemas, page through data, edit cells, insert rows, design and drop tables, run SQL, import/export CSV/JSON/SQL/Markdown, and draw editable E-R diagrams. Read-only connections enforce statement-level allowlists, agent tools ship read-only by default with an opt-in write flag, and every write (including refused attempts) lands in an auditable log. Ships an MCP stdio server exposing the same connections to external AI clients.

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

Search, list and read past and current sessions through the harness's own `sessionQuery` service: uses the SQLite FTS5 index where a deployment enables it, and falls back to a bounded newest-first scan where it does not.

DeepSeek Harness 数据源连接插件，支持数据库元数据发现、AI 语义建模、只读 SQL 查询和固定 HTTP API 调用

Full local-first issue board embedded in the DSH web GUI: Kanban / list / Gantt / workflow / dashboard views, AI chat per task, attachments and labels, auto-claim of todo tasks driven by dsh-routines — data lives in local SQLite (dsh plugin add @ttmouse/dsh-taskboard).

Turn raw data (CSV / pasted table / SQL results / DuckDB) into a structured Markdown report with business conclusions, metrics and charts.

Mirror dsh session events to MySQL, PostgreSQL, SQLite, or SQL Server while retaining local session files.

SQLX database tools: list saved datasources, show or test a connection, execute SQL and open a local result page, with the sqlx CLI installed on first use.