Plugins

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

A soul for DeepSeek Harness: an in-character Whale Chan agent preset with layered long-term memory and dream-like consolidation.

Lean and light? See DSH CPU, memory and UI stalls, broken down by plugin, terminal and MCP server, matched against stall times, and copy a diagnostic report. Windows x64 only.

Standalone QQ-bot extension pack for DeepSeek Harness — fully independent, no other plugin required. Two-layer SQLite memory with hippocampal recall, a persona that keeps learning from daily chats, group tiers, local-model quick replies with a single-brain arbiter, TTS outbox, sticker library, an approval-gated video studio, and a four-form desktop pet (three custom characters plus the stock fish) playable over a public invite link with access-code login, single seat and brute-force protection. Chat bridging is deny-by-default: c2c/group access defaults to a care mode that only responds to the special-cared people and groups of the owner (shared with the persona system, zero extra config); allowlist, open and disabled modes remain available. First-run defaults (persistent inbound dedupe, configurable outbound-hook budget, optional default permission preset, extension seeding) are written only where nothing was configured and never overwrite user changes. Interview and quiz practice run inside chat with local scoring and configurable transcript retention. Requires QQBOT_APPID and QQBOT_SECRET, and Node.js 22.5 or newer.

Original CSS gold and purple glass theme with local avatar upload, crop controls, assistant naming and reading styles; no bundled game media. The package was renamed from dsh-glass-theme to dsh-glass-aurum because another author publishes an unrelated package under the old name; stop the old package before installing this one.

CRT terminal skin with a phosphor-green palette, scanlines and monospace type for DeepSeek Harness. Also adds a sidebar dashboard with output speed, CPU/memory and DeepSeek balance; the key stays in the host process.

Partitioned long-term memory for agents, with folders as memory zones, a one-line index first, and a forgetting curve.

A long-term memory box for DeepSeek Harness settings: type it once and every new session carries it. 0.3.0 can also expand a rough note into a five-section requirement sheet that keeps every requirement of yours verbatim, marks anything the model had to invent as 推断 and deletable, and lists the dimensions you left open instead of deciding them for you.

Adds a Chat mode beside Work with a user-defined persona, long-term memory extracted after each turn and recalled by topic, and stickers it can save and send.

Iter Memory: it remembers my own state, not the facts. A level that drifts back to baseline by itself, plus an occasional line I choose to say only when that level allows it. When it stays quiet, nothing is spent.

Shows a Live2D character in the bottom-right corner of the DSH web UI: blinking, breathing, lip-sync while talking, seven moods, and a speech bubble with its own chat, memory, corpus and stickers. Models are never bundled; every user drops in their own folder.

Cross-session memory for DeepSeek Harness: a three-tier store (behavior notes, deep details, session archive) plus a 600-character core card injected every step, work/companion/learning state lines, multi-person and multi-group records with visibility partitions, session-scoped suppression or deletion of memory fragments, summaries and fact candidates that can route to a separate model, and backup plus self-check tools. Data is plain text under the home directory, and entries can carry images and audio stored by content hash.

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.

Turn-granular context memory for DeepSeek Harness.

Agent Memory plugin for DeepSeek Harness: local, file-per-memory long-term memory with human approval.

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

Moves DSH plugins between machines and profiles: export a migration bundle where local plugins keep their source and remote ones reinstall by version, restore it elsewhere with the bundle's own restore.mjs, copy plugins to another profile, or pack the whole environment (config, memory, sessions, attachments, plugin sources) into checksummed volumes with a restore script.

Disk-backed long-term memory for DSH: a SQLite FTS5 vault that captures every conversation turn, injects relevant past turns into new sessions within a per-turn character budget, groups sessions into resumable conversation files, and ships a web panel for search, paging and capacity.

Workspace memory for DeepSeek Harness ported from ZCode: one Markdown memory directory per workspace (a MEMORY.md index plus one file per fact), injected into each main session and refreshed by a background extraction request after completed turns; a sidebar page browses the stored files read-only.

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.

Delete a DSH conversation from its sidebar menu or the conversation header, optionally cascading into that conversation's associated memory nodes when you tick the box (the confirmation dialog shows the hit count before you commit); deletes land in a plugin recycle bin with restore, every action is appended to an audit log, and batch deletes are rate-limited with per-conversation rollback.

Original CSS gold and purple glass theme with local avatar upload, crop controls, assistant naming and reading styles; no bundled game media.

System monitor for kids: a single card summary of CPU, memory and disk.

Explains computer memory as a workbench: current usage, memory pressure and top programs.