Plugins

Local long-term memory for DSH: browse, search (BM25 + synonyms) and edit entries in a panel; folders, archive and a recycle bin; choose per session what to inject; model-written memories need your approval; import/export backups; optionally sync across devices via your own Git or WebDAV.

Local code memory with automatic source context, symbol lookup, vector search, and dependency graphs for JavaScript and TypeScript projects.

Runs the upstream Headroom compression toolkit (headroom-ai, Apache-2.0) inside DeepSeek Harness over MCP: headroom_compress, headroom_retrieve and headroom_stats are exposed as mcp__headroom__* tools backed by the upstream server, installed on demand by uvx. Compression is lossy but reversible — originals are fetched back by hash from a local CCR store. Also ships a registrar that adds DeepSeek Harness to Headroom's own MCP registry, and a model-header sanitizer for the upstream proxy.

Semantic context watcher for DSH agents: maintains a journey ledger with flash summarization and MinHash novelty detection, folds milestones, and can inject long-term context with a three-level stall response; injection and the stall-2/3 responses are off by default.

Turns guard denials, gate failures and human thumb-downs into project lessons, and injects only the rules a human has armed into each new session of that project; it registers no model tools and is reviewed through its settings card.

Registers the Akasha Book memory server over stdio and exposes its 22 akasha_* tools to DeepSeek Harness, covering lookup, briefs, revision chains, audits and session recall. Companions: Hindsight (repo memory), OpenViking (user memory), and the built-in session search (see repo README). Setup: clone the repo, copy core/ aside, then replace <AKASHA_DIR> in cordis.patch.yml with its absolute path (or set the AKASHA_DIR env var); plugins fail loudly while the placeholder remains.

Schedules Akasha sleep distillation on idle or timer, and injects a wake note for new sessions plus a per-turn memory pulse; the optional idle-resume behaviour is off by default. Companions: Hindsight (repo memory), OpenViking (user memory), and the built-in session search (see repo README). Setup: clone the repo, copy core/ aside, then replace <AKASHA_DIR> in cordis.patch.yml with its absolute path (or set the AKASHA_DIR env var); plugins fail loudly while the placeholder remains.

Records host events — turn ends, tool results, agent errors, idle transitions and assistant output — as append-only JSONL for Akasha metrics, recall checks and output audit. Companions: Hindsight (repo memory), OpenViking (user memory), and the built-in session search (see repo README). Setup: clone the repo, copy core/ aside, then replace <AKASHA_DIR> in cordis.patch.yml with its absolute path (or set the AKASHA_DIR env var); plugins fail loudly while the placeholder remains.

Write guard for the Akasha Book store: blocks tool calls that write into the memory data directory, and injects the store usage contract and self-layer sections into the system prompt. Companions: Hindsight (repo memory), OpenViking (user memory), and the built-in session search (see repo README). Setup: clone the repo, copy core/ aside, then replace <AKASHA_DIR> in cordis.patch.yml with its absolute path (or set the AKASHA_DIR env var); plugins fail loudly while the placeholder remains.

A private memory library for DSH with customizable personas that only records when you ask, storing everything locally in Markdown.

Session deletion for DeepSeek Harness: a sidebar menu item, a workspace-grouped batch cleanup panel and a session_delete tool (dry-run by default). Deletes session logs, projection cache, workspace-registry references and derived search indexes, and cascades to all subagent sessions.

Chunked compaction for oversized sessions: takes over only when the live context exceeds 85% of the model window (or the request exceeds 4 MB), summarizes the history in 1.5 MB chunks and merges them; smaller sessions keep the built-in compaction.

Delete sessions for real from the dsh sidebar (local logs and projection cache included, subagent and fork children cascade) and manage workspaces and ungrouped sessions, with an optional daily cleanup of ungrouped sessions.

Automatic, versioned backup of your DeepSeek Harness home — sessions, memories, settings and the profile plugin tree — to a private git remote you own, with commits and pushes on a schedule and every failure surfaced in the DSH log.

Adds a permanent Delete session action to the sidebar session menu, behind a confirmation dialog that reports the log size, running turns, subagents, background jobs and reminders bound to the session; the id is then released from the live, archive and workspace registries, so the row stays gone on refresh instead of folding back in.

Delete DSH sessions into a restorable recycle bin — subagent sessions follow their parent as one tree, batch archive, restore and purge are supported, and only purge destroys bytes.

In-conversation keyword search for the current session: pages the history back to its first window before matching, then highlights every hit and scrolls to the one you pick.

A DSH conversation workspace: turn actions, provenance quotes, local notes and summaries, in-conversation find, focus lock, and per-workspace command buttons.

Names a session from its first prompt, and streams AI title suggestions into the rename dialog.

Turn rail on the left edge of the conversation: one tick per user message, hover to preview, click to jump (auto-loads earlier pages when the turn is unloaded), plus an active-turn highlight and a scroll-position indicator.

Goal Map shows a read-only goal-to-plan progress route, session mindmap and step list using reported plan progress, without starting tasks or model calls. Beta.2 supports DSH Web 0.2.0-rc.2 or 0.2.1-rc.2, with Node.js >=24.

Context observability and control for DeepSeek Harness: cross-session token analytics, session-level budget/prompt/tool controls, and optional agent scaffolds. It reuses the official tokenMeter, compaction, systemPrompt, and tools.restrict seams; monitoring is read-only.

Lightweight crash-recovery for dsh: after a restart, it detects sessions whose last turn was killed mid-flight and re-injects a continuation prompt that first demands the agent verify real-world state before acting, so side-effecting operations are not blindly repeated. It only reacts to the genuine crash marker (turn/end reason 'interrupted', synthesized on cold read by session repair), so it never misfires on user cancels, rate limits or model errors - which is why it needs no error classification, backoff or configuration UI. Unlike general-purpose auto-continue plugins, it also covers the case where a subagent was interrupted mid-run: the parent turn has already ended normally while it waits, so a naive check sees nothing to resume and the whole subagent tree dies silently; this plugin detects the interrupted child and wakes the parent instead. Single host file, zero external dependencies, seven config constants.

Select a statement in an AI answer, find candidate support in earlier chat and tool records, classify support, and jump to original passages for review.