Plugins

Connects DeepSeek Harness to the official Vercel MCP server over OAuth, with per-Agent on-demand tool loading, slimmed tool schemas, paged long results and 34 bundled Vercel skills.

Five production-grade DSH tools bundled into one plugin (8 tool slots total): git regression finder (find introducer, recent changes, bisect, blame age), stack-trace decoder with local code context, YAML/ENV/properties config validator with typo suggestions, cross-platform shell escape (POSIX/PowerShell/cmd), and MyBatis Plus SQL static auditor (N+1, missing @Transactional, LIKE leading %, SELECT *, missing WHERE). Zero npm dependencies, all offline; concurrency-safe except the bisect tool (dsh-when-broke). Each sub-plugin is also installable standalone (dsh-when-broke, dsh-stackdecoder, dsh-config-guard, dsh-cmd-shield, dsh-mp-auditor).

Adds a download_file tool that fetches a URL over 16 aria2c connections and falls back to a single stream when aria2 is unavailable. Needs aria2c installed separately; the aria2 channel does not verify TLS certificates.

Creates and edits Feishu and Lark cloud content through ten tools - Bitable databases and their records, documents with Markdown converted to native blocks, spreadsheets, wikis, drive files and messages - plus Base V3 dashboard charts and server-side aggregate queries.

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.

A private diary for your agent: eight zero-dependency tools to write, amend, search and export daily entries kept on date-hashed paths the index never records (inner_find returns a day's path on request).

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 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.

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.

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.

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.

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.

Adds an Insight tab next to the conversation and trajectory tabs in DSH: calls a model to interpret tool calls turn by turn, and supports a custom prompt.

A human-in-the-loop curation workbench inside a DSH session: mark whole turns or single messages to keep verbatim or to summarize, rewrite user, assistant, tool-result and injected-context messages in place without a model call, then compress the marked ranges with model-written summaries or the official /compact. A local JSON backup is written before every write to the session.

Persona manager for DeepSeek Harness — a JSON-backed persona library, a per-session binding so each session can run a different persona, an optional default persona for sessions that have no binding, and switching that applies either at once or from the next session; the Web UI adds a Model personas settings page and a persona chip next to the composer, and three model tools let the model list, switch and create personas itself.

Treats the session as a mainland-China user (zh-Hans-CN, Asia/Shanghai, ISO dates, CNY currency) and generates a self-consistent test persona: five tools, six cross-checks, GB 11643 check digit, phone prefix matched to carrier ASN.

Stops compaction summaries and session titles from burning their output budget on reasoning, by lowering the thinking level and raising the token floor for auxiliary calls only.

Use your ChatGPT account to bring Codex models into DSH: choose models and thinking effort, chat with images, use tools and skills, approve local tasks, answer interactive questions, continue and compact long conversations, check quota and Token history, and maintain a supported Windows screenshot helper.

Bridges the third-party providers saved in a local cc-switch app into DeepSeek Harness: Anthropic-format tool groups become adapter routes, Codex groups are handed to the built-in pi-ai adapter, and a settings page picks which groups to import and in which order.