Plugins

Routes chat images to a fixed OpenAI-compatible vision model, returns factual observations to the selected main model, and reuses session-scoped observations across replay, compaction, and restarts.

Focus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions, with automatic context injection, archive on clear, and an optional web panel.

Make your dsh ready for serious coding. (Tools x Schemas)^REPL. `skill://`, `ctx://`, `agent://`, `dvc://`, `dsh://`, IPython REPL, Context as Variables, cross compactions recallable, full context revive. `hash-edit`, `dvc://browser`, subagent as function, workflow as function.

Compacts a session at 70% context and appends mechanically extracted anchors — first user message, hard requirements, paths, commands, error codes and unresolved items — to the summary; it reuses DSH built-in compaction-basic and adds a /compact-status command.

Sidebar compaction: the global panel rows (plugins, market, tasks, context, memory, More) and the footer actions (e.g. paper reading and remote control) pack two per line in the wide sidebar, so the workspace session list regains the height. The collapsed icon rail keeps its shipped vertical layout. Pure CSS, no network or model calls.

A composer slime that grows on the output tokens your agent writes, splits into a colony, wears a breed hat from the tool mix, molts on every context compaction, and totals the colony across sessions in a sidebar tab.

Turn the context window into a zen garden: every message or tool result plants one of eleven plants (code = cactus, image = flower, error = weed, document = rice, web = dandelion), each context compaction harvests the field into seed currency, and as the session deepens ivy climbs the chat edges while dandelion seeds drift across it.

Cross-session memory and compaction archives for dsh, plus a persona kernel. After each substantive turn a background model call extracts facts, preferences, open tasks and commitments; entries carry ids, fade when they stop being mentioned, are capped per kind and can be corrected. When the host compacts a conversation the compressed span is written to the note vault as an archive card whose catalog is injected into the session, so details can be read back by id. Ships an append-only ledger, a settings page, a /whale command group and nine tools.

Merges, appends, and repairs DSH session logs: eleven modes for copying events between sessions, computing compaction cut points, clearing a broken parent link, and validating the result against DSH's own loader.

Port of MiMo Code's infinite-context memory: as the window fills it asks the model in the background (the current provider route unless writerProvider/writerModel is set) to write a structured checkpoint and a project MEMORY.md, then, ahead of DSH's native compaction, replaces the visible window with a rebuilt dump of tasks, checkpoint, recent user messages, memory and notes, falling back to a MiMo-style compaction. Memory files live under $DSH_HOME/mimo-context (per session, per project, plus a read-only global one); it adds mimo_* memory, history, checkpoint and rebuild tools and /mimo-* commands, with dream/distill off by default. Needs DSH 0.2.2-rc.1 or a later 0.2.x.

Observation-only audit for DSH Agent Teams that records per-request cache usage and prompt-prefix rewrites to JSONL, with no tool or prompt changes.

Manual context compaction for DSH Agent Teams, adding a scoped compact_context tool and the /compact-agent command.

Replaces LLM summarization with deterministic text compilation, so compaction makes no model calls and keeps original tokens; elided content stays retrievable through seq pointers. Based on TsFreddie/dsh-compaction-instant.

Folds older oversized tool results into spill files and replaces them with short, deterministic stubs at step boundaries, with no LLM call: the stub keeps the first 200 and last 80 characters plus the sequence number, tool name, line/char/size counts and the original file path, and each fold is a real surface replacement accompanied by compaction/prune shadow pricing so token counts stay honest. Triggers on context pressure at 25% of the model window (falling back to 32768 tokens when the window cannot be resolved) or on five accumulated candidates; the last three turns, error results and rich content are never folded. The original is recovered from the session log rather than the spill file, so /folds, /unfold <seq> and /unfold all keep working after spill cleanup; session_fold_recall lets the model fetch a folded result by sequence number or by keyword, and session_fold_diagnose reports the effective settings. /spill-prune removes orphaned spill directories, preview only unless --apply. A Settings page exposes 12 of the 13 options as draft-then-save fields; they are volatile, so saved changes apply without restarting the plugin.

Puts a domain bar under the session header — a domain groups skills and tools and toggles as one block, so one click loads or unloads every member. Hovering a chip lists its members (skills, then tools) in a height-capped panel that scrolls. The right end of the bar is a compaction-threshold counter (− 5 +, 100k tokens per step) that rewrites the live compaction engine policies, so the compaction trigger line changes on the next turn without restarting dsh; a degraded fallback turns the number amber and is reported in the snapshot. Settings maintains domains and members with search, skill/tool tabs, all/selected/unselected filters and a copyable AI grouping prompt. Tool removal uses tools.restrict plus a guard; hiding a skill re-registers it with modelInvocable false, so it leaves the model catalog while /name still works. Sessions of another preset are left untouched.

Connect a locally installed agy CLI to DeepSeek Harness 0.2.2-rc.1, with separate thinking levels, quota display, and Harness-owned tools. Community fork of dannndouglas/dsh-antigravity-acp, beta, verified on Windows x64 only. Needs the agy CLI signed in with your own Google account; installing makes new chats default to Agy models (messages go through agy to Google), switches web search to the agy provider and replaces the built-in compaction. Do not enable it alongside other forks that register the agy-local-acp provider.

Configure automation Hooks for user and project scopes to run commands on session, tool, permission, and context-compaction events. Manage Hook authorization manually in Hooks setting.

Structural scaffolding for DSH agent continuity: layered memory (hot/index/judgments), judgment cards, handoff packs (compact mode), compaction review. Zero-dependency, pure files, portable — rebuild the 'self' across model changes. Not a memory engine; the skeleton of continuity.

Deterministic, zero-LLM compaction engine for DeepSeek Harness: the checkpoint is compiled locally from the session log with no summarizing round-trip, and dropped tool traffic becomes seq reference lines the model can restore with recall, which helps on small context windows. Ships as two packages: install dsh-fast-compact and dsh-fast-compact-preset, add both to the profile's bundles, pick the Fast Compact (standard) preset and start a new session. Needs dsh >=0.1.5-rc.2 <0.3.0.

A Conductor tab and commands for a chat's context: /new replaces the context in place with a model-written handoff, /rewind restores the chat and the agent's file edits to an earlier prompt, plus /drop, pins, an automatic compaction level, recovery after failed turns, silent messages between chats and agent and task orchestration. Supersedes dsh-orchestrator, dsh-force-compact and dsh-continue, so do not install it alongside them. Requires DSH >= 0.2.1-rc.5, Node >= 22.5, the web profile and dsh-better-sidebar.

Super input suite — model and effort picker, prompt enhancer, follow-up suggestion chips, a full cost engine with daily heatmap and Coding Plan quotas, voice-input light effects and transcript cleanup (needs the built-in voice-input bundle enabled), prompt templates, selection reference chips with comments, a compaction ring and a settings hub. Bundles the author's standalone dsh-cost, dsh-power-picker, dsh-prompt-enhancer, dsh-followup, dsh-siri-voice and dsh-compaction-control; uninstall those before installing.

Replaces the sidebar workspace folder picker with a name box (type a name, get a same-named folder and a new workspace), adds a Move to workspace action that clones a session into another workspace and archives the original, and optional per-workspace memory that opens a continuation session after compaction and adds a workspace_memory search tool.

Runs the local llama.cpp Qwen3.5-4B from a Settings page — Windows only, NVIDIA GPU (8 GB VRAM handles the 4B Q4) — with start, stop and restart, launch parameters, deployment paths with a presence check, provider-route and compaction-policy sync in the profile patch, a loopback request-capture proxy, and a local_worker tool that hands translation, OCR and video-frame chores to the local model by file path. Needs llama-server.exe (verified on b12069) and Qwen3.5-4B GGUF + mmproj files on disk; video frames also need ffmpeg.

Trim idle DeepSeek Harness session logs at startup: keep the last N windows, cut the ones the model can no longer see, and verify the result with the host's own format, session and projection validators before writing. Not context compaction: this shrinks