Plugins

Local BM25 auto-recall, a fail-closed write guard, a static doctor and a memory panel for an Engramory markdown store. No network, no daemon and no model calls unless you opt in; recall quality is measured by a reproducible benchmark in the repository.

Local memory for DeepSeek Harness: what you write is filed under a topic and linked to related entries, recall ranks results by embedding similarity (word matching when no model is installed), and the data stays in a local SQLite database.

Notes-backed context compression for DeepSeek Harness: replaces LLM-summarized compaction with a model-written persistent notebook plus recoverable raw history, so the rollover boundary itself costs zero model calls.

Hides other memory plugins' context sections and tools inside a chosen DSH preset, so that session gets a clean context. Off by default; ships a read-only diagnostic tool.

Archives the QQ Zone posts you published yourself into a local library, auto-sorted into three columns — thoughts, dreams and reviews (book/film recommendations) — all three of which can be corrected by hand, one column at a time, and undoing a correction never disturbs the other two. Ships a private web viewer that can be locked with a password, repairs long posts that the upstream API truncates to its first ~500 characters, counts words by year and month, and backs up attached images for offline reading. The cookie is stored on the local machine only.

Share omp (oh-my-pi) project memory with DeepSeek Harness: DSH injects the same memory_summary.md and learned.md window omp reads, and its learn tool writes back to the very same learned.md. Conservative by default - never deletes, refuses to evict when omp's 100-lesson cap would be hit, byte-faithful writes with a CAS re-check, and it will not create omp's memory directory on its own. Verified black-box: one prompt sent to omp headless and to a one-shot DSH task yields the same answer, while a control run without memory abstains on both sides.

Bridges DeepSeek Harness to a Hindsight memory service using the same conventions as omp: one shared bank, automatic project-tag stamping, project plus global recall, plus tools for mental models, duplicate detection and retrying failed background operations. Requires a running Hindsight server (default http://127.0.0.1:8888).

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.

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.

Local-first knowledge base for DeepSeek Harness: imports Word/PPT/Excel/PDF (text or scanned), EPUB and MOBI/AZW3, builds Markdown parts with page anchors, OCR quality/confidence and column-aware PDF reading order; adds an LLM-maintained wiki layer (schema.md rules, auto index.md, append-only log.md, typed notes with sources and backlinks), adds source-trust labels (high/medium/low) with trust-aware ranking and low-trust warnings, and supports ranked search, cross-KB query, precise reading/editing, and md/jsonl/zip export. MOBI/AZW3 need Calibre; legacy .doc/.ppt need Word/PowerPoint (Windows) or LibreOffice (Linux); scanned-PDF OCR downloads models on first use.

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.

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.

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.