Plugin

Sync a git-backed memory folder with a peer machine every time DeepSeek Harness starts — no daemon, no cron, no manual pull.

Bridges the shared ~/.agentloom store between DeepSeek Harness and Codex: injects the shared memories and the AGENTS.md entries the context budget truncates into the system prompt, and adds six loom_* tools for status, sync, memory search/list/add and skill listing. Requires the agentloom CLI installed and a one-time agentloom init; the seven-tool MCP bridge in the same repo is a separate package for MCP clients.

A cross-workspace Library for DeepSeek Harness: agents record files, tools, environments, knowledge and work records so any later session can index, search and reuse them.

Zhinao (second brain) for DeepSeek Harness: Markdown-authoritative layered memory (L1 long-term model gated by user confirmation / L2 knowledge with mandatory sources / L3 recent status under daily quotas), a local recall ledger explaining every injection, lifecycle engine with weekly review and a Web panel. First-run wizard initializes a blank brain, adopts an existing Zhinao directory read-only, or fills in only missing skeleton files; existing files are never touched.

Local searchable archive of DSH chat history: decodes the multi-frame zstd session logs (thousands of concatenated frames), extracts user and assistant text into SQLite, and exposes sync / search / stats tools. Idempotent imports, no external service, nothing leaves the disk.

Elysia's memory plugin for dsh. One shared, human-editable MEMORY.md across every session: two-disk mirror, history snapshots, cross-process write lock; entries tier between the main file and a searchable archive by hit frequency; retrieval is keyword co-occurrence plus BM25. Nine sections (persona, requirements, corrections, lessons, methods, requests, sessions, method library, ingested docs) plus a dedicated self-identity section for a character's own self-cognition, injected above the persona. Ships an opt-in memory pack (packs/elysia: 61,903-char identity + 2,482-char persona, distilled from 1,696 officially-confirmed voice lines and 112,175 dialogue lines — not written by hand, measured) that is off by default, backs up before writing, only touches identity/persona, and can be uninstalled. Also opt-in voice playback through a local GPT-SoVITS engine, a skills library, and a sticker library that sends a fitting sticker at the right moment.

Workspace artifact manager that sorts files into artifact, process, memory and material roles, with extra workspace roots, 12 file types, a year/month/day timeline, preview, rename, trash, zip archive and optional COS sync.

Caps how many DeepSeek Harness conversations run at once, so extra conversations wait in a FIFO queue instead of piling up model requests. On Windows a bottom status strip shows physical memory, commit memory and disk usage; on other platforms only the queue and physical memory are reported. A plugins-page card changes the limit.

Names sessions as a category plus a short topic. A sidebar action reads the conversation, asks its model for the pair, and pre-fills an editable title; a smart_rename_session tool gives the same naming to the agent, which renames the session it runs in when the topic moves on.

Literal full-text search across every DSH session log (Chinese sentences work, where the built-in FTS5 tokenizer fails), as a right-sidebar panel that scrolls to the matching line, plus a session_find model tool.

Sync DeepSeek Harness sessions and workspace files to a private GitHub repository for cross-device handoff, with sync badges, search and bulk upload, independent local/remote delete, conflict "pick a side", and multi-device-safe index merging.

Auto-titles conversations after the first user+assistant exchange, with a chat header button to update or manually edit titles.

Agent-facing keyword search over local DSH session logs: session_search returns matching sessions with timestamps and excerpts, session_read dumps one conversation, and both skip injected context such as memory snapshots; no index is built.

Layered context management: at each turn end older tool output becomes a deterministic card, the model can fold older ranges into its own summaries in up to three tiers (compress), and every original is archived locally for decompress and search_context. Works alongside DSH-Mem0: superseded runtime-context snapshots (such as recalled memories) are never archived, carded or folded, and are replaced by a one-line placeholder at turn end when the prompt cache is already broken, when the saving outweighs the cache miss, or above 75% of the window; a strataBudget service (pressure, allowance, countTokens) and a strata/fold-landed event are provided for other context plugins; strata_status warns when DSH's automatic compaction is off or its official summary keeps failing. Its L1 layer, archive rotation, prune guard and preset takeover are forked from dsh-live-compact 1.0.6 (MIT); uninstall dsh-live-compact or billion-context first — they replace the same compaction rows and Strata will not take over while either is installed.

Mirrors other coding agents' sessions into DeepSeek Harness as continuable tasks, one workspace per application, with content-fingerprint deduplication.

Compare two or three answers in one session and drop chosen turns from every later model request.

Rewrites the message you type into the DSH composer into a precise prompt before the model ever sees it, with one cheap side call on the session's own route. The rewritten text is what gets logged and sent, so the transcript always shows exactly what the model received; hover the whale to compare before and after. Slash commands, very short or very long messages and image-only messages are left alone, and any failure sends your text untouched. The composer whale is the switch: dark silhouette when off, gold when on.

Gives the model in DeepSeek Harness a real new_conversation tool: creates a session in the current workspace, delivers a self-contained handoff as its first user message, optionally attaches a read-only dsh-session: reference to the calling conversation, pins the title, and switches the Web UI to the new session.

Slumber Pavilion physically moves archived DSH sessions out of the load path into ~/DSH-Archive, and ships archive, read, restore and delete tools for them.

Select-all cleanup for archived DeepSeek Harness sessions: deletes the session log, projection cache, workspace accounting and archive marker, cascades subagent logs, and can also remove unreferenced attachments, the request-image cache, the workspace files a Session wrote and leftovers of already-deleted Sessions.

QQ (OneBot 11 / NapCat) channel for DeepSeek Harness: bridges QQ private chats and group chats into their own dsh sessions. Ships group guardrails (mention-only, quiet hours, cooldowns, daily quota, peak-hour mute), a tool gate with write-action audit, an outbound filter that stops the model from echoing input tags, voice transcription, media and forwarded-card support, dryRun and usage stats. Forked from dsh-onebot-qq 0.9.4. Cannot be installed alongside the upstream dsh-onebot-qq (two QQ channels on one NapCat crash-loop DSH). Private chats answer admins only (an empty admin list means nobody); group chats default to all groups and answer any @-mention, so set groupPolicy to allowlist to restrict who can drive the agent.

Adds a model picker to teammate (continuable subagent) sessions: switch a quota-exhausted teammate to a model that still has quota and let it continue, without rebuilding it or touching the Lead session.

Per-provider User-Agent and stream idle timeout settings, with visible request retries and optional bounded continuation messages.

Merges your configured, runtime-registered and locally cached models into one panel, probes and minimal-request tests them, pulls each channel's upstream /v1/models catalog, and chains the keepers into named schemes. A virtual ModelPool provider fails over at request time with per-model cooldowns, exponential backoff, image-request avoidance for text-only models, and a 10-minute memory for rejected reasoning levels. Adds a token ledger by day and model with CSV export, and 21 regression probes. Not a fork of dsh-llm-fallbacks.