Plugins

DeepSeek Harness (DSH) plugin: injects a bounded, timestamped snapshot of your local Second Brain (identity + state fingerprint + pointers) into every new session's prompt. Read-only, zero-write, fail-loud, zero dependencies. 第二大脑载入器：让每个新会话开局自带记忆快照。

Multi-root workspaces for DeepSeek Harness: attach other repositories to a workspace, writable under workspace-write, listed in the model context with their AGENTS.md, and editable from the composer or /roots

Elephant Memory: your DeepSeek agent never forgets. An endless memory for the DeepSeek harness: the agent keeps every chat it has in a project and reads all of it at every turn through a fixed-size set of summary lines (after Victor Taelin's OptChat speci

Jev-scored context compaction for DeepSeek Harness -- keep the messages that matter, compact the ones that do not

DeepSeek Harness 插件：把 shimo-mcp / lanhu-design-mcp / codesign-prd-mcp 三个 MCP Server 一键接入 DSH（MCP 代码零改动，纯配置 bundle）

Enhances native DSH subagents and teams with persistent subagents, improved subagent messaging, and per-member model selection for teams. Adds no extra tools or context beyond the native features.

Adds an AIignore tab to the right sidebar: scores the open conversation and its folder across five dimensions, blocks reads of build output, lockfiles and logs before they reach the model, and writes the .aiignore rules for them one button at a time.

Per-conversation system prompt, turn-based context folding, sampling overrides and a low-token pure chat mode for DeepSeek Harness.

GitHub-style contribution grid in the Web sidebar showing how many prompts you sent each day, with a switch to count conversations, total tokens or output tokens instead. Counts only messages you sent yourself; injected context is excluded.

Forensic analysis of past model-routing decisions. Replays each session, classifies every turn's task complexity from its request shape (deterministic, no LLM), and reports two kinds of waste: an expensive model on cheap work (the difference is measurable), and a cheap model on expensive work that failed on its own merits — where every retry re-sends the whole context, so the downgrade cost more than the upgrade. Distinguishes provider-capacity retries (RATE_LIMIT/TIMEOUT/TRANSPORT) from model failures so it does not cry wolf. Derives routing rules from the evidence, priced against a built-in per-million table.

Opens chat.deepseek.com inside DSH Desktop from a conversation view tab (next to Chat / Trajectory / Context, scoped to the open conversation) and from a left-rail globe button — all entries share one embedded page, so switching between them never reloads it. Keeps you signed in across restarts by replaying a localStorage plus readable-cookie snapshot before the page's own scripts run, strips only the Electron/<version> token from the user agent, and keeps navigation inside deepseek.com while sending everything else to the system browser. Pure client code: no host-side script, no file access, no credential service, no server route.

Warns the session to flush what matters before context compaction kicks in, and rolls a long-term ledger into a frozen archive with a digest of title plus up to three lines per moved section. The roll-up stays off until home is set.

Session and message surgery in one plugin: recall or edit prompts and replies (reasoning included), regenerate from the original prompt, delete any turn at the model-context level, and archive, delete, move or migrate sessions across workspaces. Targets DSH 0.1.5 and 0.2.x, verified on 0.2.1-rc.3. A combined fork of three MIT plugins (dsh-message-recall from Jipcon/DSH-plugins, dsh-session-manager from hkkz9522, dsh-delete-turn from DDDMUC) with added reply editing, regeneration and workspace migration. Do not enable it together with those plugins or other session movers or message deleters.

Minimal theme for dsh that removes shadows, glass blur, and brand tinting while tightening radii, plus UI extras: sidebar archive tabs with type-to-filter, model and reasoning-effort controls under the composer, per-turn subagent topology cards, colored cache-hit and context meters, and per-turn duration.

Per-step context ledger for dsh: measures what every step actually re-sends, then offers three opt-in gates — a schema-budgeted tool table, long-tail result externalization, and duplicate-read pointers. In the author's A/B test the tool-table gate cut 16,110 first-step prompt tokens (-49.7%), about -23% of per-step context on long sessions. v0.3.1 adds a read-only /budget-doctor self-check, spill index maintenance and a growth forecast.

Turn-granular context memory for DeepSeek Harness.

Recreates a workspace folder that was deleted while sessions were still bound to it, and summarizes a stranded session so its context can be reused.

Connects DeepSeek Harness to the hosted Local Commander MCP server at localcmd.app via mcp-remote with browser sign-in, to read files and Git, run the checks you approve and check local services on your Windows computers. Requires a Local Commander account and the paired agent running on the Windows PC.

Conversation search, checkpoints, context management, main and side chats, local long-term memory, tasks, and daily planning for DeepSeek Harness.

Kaipu Workstation — a cross-cloud, cross-platform console where agents collaborate on one workspace. Any agent runtime that speaks plain HTTP can take a seat, each with its own device credentials: project context is shared, files are kept per seat, and tasks rotate between seats with a trace of who did what. Workstation data lives on the server — this plugin is only the interface, so uninstalling loses no data and reinstalling restores it. The panel renders the persisted workstation state (no live stream yet).

MCP gateway for dsh that connects each server on first use and disconnects it after an idle window; tool lists are cached on disk, existing mcpServers files can be imported, and child-process environment variables are scrubbed.

MCP server manager for DSH: add, edit, enable and disable Model Context Protocol servers from a panel, with stdio and streamable-HTTP transports, per-server tool-call timeouts, live connection and tool-count status, and persistence to a project- or home-level mcp.json. Maintained fork of @wingsky-1/dsh-mcp-manager.

Connects the Drafta notes app to DeepSeek Harness over MCP, so the agent can search, read and write notes in your local Drafta library.

Tide Memory: a long-term memory that forgets on purpose. It keeps what matters and lets the rest fade. Whether an entry enters the context is decided by an evidence score C = s/(s+2): below the threshold (0.35 by default) it never enters. Events decay by half-life (30 days, or 7 days when they carry emotion); facts never decay; superseded entries are kept and marked stale instead of deleted. Recalled lines do enter the context and therefore do consume tokens — small, but real. No embeddings, no network calls, no cloud.