Plugins

Cross-session and cross-project long-term memory: a non-blocking silent sedimentation dispatch on turn/end writes into a local SQLite store (FTS5 trigram full-text index with insert/update/delete sync triggers) that later turns recall from; entries are scoped per project alongside a global tree, and the plugin ships its own embedded web dashboard (it starts the HTTP server itself, no separate process) for browsing, graphing and controlled deletion.

Adds a red "Delete session" row beneath Archive in the sidebar session menu and permanently deletes that one session - its stored logs and its workspace account entry, written through the workspace registry itself. A second click confirms and the row leaves the list immediately; sessions opened this run are disposed from memory first so nothing resurrects them, and a session running work shows one extra warning whose click stops the task before deleting.

Per-turn development progress memory: completed turns are classified into date-indexed Markdown files under doc/progress/ with a maintained INDEX.md, system-level bugs are kept in a cross-project SYSTEM_MEMORY.md and re-injected on error keywords, and a progress_read tool loads full documents on demand.

Bounded self-managed long-term memory (Hermes-style MEMORY.md / USER.md with hard character limits and a safety scan), a review that runs after every turn and writes plain-language notes or refines an existing skill instead of adding a near-duplicate, a curator that finds and surgically repairs skills the loader would silently discard, cross-session search over past messages, and a learning card above the composer that appears only when there is news and asks before it deletes or rewords a memory.

Connects dsh to the GreatArrow.ai MCP server over Streamable HTTP, so the agent can search and save workspace memories, tasks and decisions shared with your other AI clients; a config-only bundle that reads the token from great-arrow.token in the dsh home, never from the environment.

Registers the project-cross-migration skill for DSH: five-layer agent project migration (conversations, memory, persona, tools, environment) with entry validation, JSONL integrity checks and readable restore. 1,418-message real migration verified across three platforms; pure Python stdlib, MIT.

Host performance monitor in the right Sidebar: CPU, memory and swap gauges, a GPU clock and VRAM bar, CPU / GPU / motherboard / drive temperatures, and a process table sortable by CPU, memory or name.

Imports a proxy subscription, supervises a local mihomo core (proxy-provider plus a url-test group), and fetches direct-first with automatic proxy fallback and per-host routing memory; exposes one proxy_router tool (status, start, stop, test, fetch, routes, forget).

Cross-session lesson book (the agent wrong-answer notebook) for DeepSeek Harness: injects a memory index capped at 2 KB verbatim into every turn, adds mem_recall and mem_save model tools whose write gate demands four sections, a locatable reference and explicit human approval before anything reaches disk, registers the /memory command, and keeps every lesson as a zero-dependency Markdown entry in the .memory/ directory.

Persistent memory for dsh in the style of Hermes Agent: a memory tool that keeps a user profile and the model's own notes, delivered to every chat as a logged context message — at the start, after a change and after compaction — and a session_search tool that reads earlier chats only after the user approves, with a Memory panel to see and edit what is kept.

Anima-style vector memory for DSH: injects retrieved historical summaries into the system prompt each turn, exposes an anima_query semantic-search tool, and isolates the vector store per playthrough. SiliconFlow embeddings sent as array-shaped requests; timeouts and provider errors surface as honest, classified notes in the injection slot — never silent.

Resident search index living in the host process: hot_find (fuzzy filename and path match, with frecency and git status), hot_fuzzy (content search that tolerates typos, including in Chinese), hot_grep (literal and regex content search), hot_plan (groups hits per file so a batch of files can be read in order) and hot_stats. One in-memory line index is built once and rebuilt on demand, so a query does not spawn a process.

DeepSeek Harness plugin: bounded-file memory for local agents. ME.md + project MEMORY.md vault, cache-stable inject, plain-line inbox, Memory rightbar. No embeddings, no LLM calls.

Model-facing codebase-memory CLI tools (codebase_list_projects/index_repository/index_status/search_graph/query_graph/trace_path/get_code_snippet/get_graph_schema/get_architecture/search_code/detect_changes/manage_adr/ingest_traces/delete_project) that ru

Newmark Core for DeepSeek Harness：一个插件包携带 Newmark 的 MemoryLab、ComputerUse 与 Dev 智能体预设，共用 ~/.Newmark 用户库，各组件可在插件页独立启用。

Project-isolated long-term memory for DeepSeek Harness that keeps one bank per project and adds a cross-project view; it can also seed a project's memory from its git history without opening a session there.

记忆核心（工作区版 memory-eternal-ws）：按 DSH 工作区自动切库的本地 Markdown 记忆库插件。每个项目用自己的 .dsh/memory-vault，跨项目知识走全局库。fork 自 dsh-memory-eternal v0.7.0，保留自动沉淀 / 自动召回 / 知识卡 / 知识图谱 / 审核中心 / 回收站 / 配置页全部功能。

DeepSeek Harness agent tool (session_search) for full-text search across historical sessions backed by core SQLite FTS5 engine without memory overhead.

DeepSeek Harness (dsh) host adapter for anysearch: thin Cordis bundle — hooks layer only, all business logic stays in the anysearch server over 127.0.0.1 HTTP IPC

Claude-compatible memory for DeepSeek Harness: a user-chosen memory directory with MEMORY.md index and topic files, the memory tool, and a settings page

Claude Code compatibility for DeepSeek Harness: skills, memory loading and writing, scoped rules, and settings switches

Progressive long-term memory for DSH: sharded markdown bodies under ~/.dsh/memory/topics/, with only a live-generated index (shard · count · path · per-entry line numbers) injected into the system prompt — so the prompt cost stays flat however large the m

Persistent long-term memory for DeepSeek Harness: a JSON store of typed entries (fact, preference, entity, rule, episodic) exposed as the memory_remember and memory_recall agent tools, with recall ranked by keyword overlap, importance and access frequency.