Plugins

Layered cross-session memory for DSH that pushes only what changed - the first round injects every active entry, later rounds push only added / updated / removed ones, and nothing at all is injected when nothing changed, with keys that merely repeat an entry id left out of the text so the baseline is about 26% smaller. Facts and decisions carry semantic keys (one active truth per key), the model may only write to an inbox that a human promotes, an entry can carry a review date that raises a one-time reminder when due, and search is relevance-ranked with journal lines down-weighted and Chinese matched by bigram. A sidebar tab tells the lifecycle story instead of listing files - entries are grouped by stage (awaiting confirmation / in use / archived) along four axes (topic - one level, human-assigned, type, tag, date), each group can be ticked for batch promote / withdraw / archive / restore / delete / assign topic, and topics can be renamed store-wide or searched on their own. The archived stage reads in three levels - the category says why an entry left (distilled into the docs / useless for good / not needed right now, the first two being defaults you can add to), below it the entry topic stays collapsed until you click it, and entries with no topic sit right under the category. The tab also shows the global and workspace instruction files plus the current injection size. A zero-dependency CLI ships with it, so the store is usable without DSH.

Adds an "approve for me" access mode whose approval requests are answered by an independent reviewer model instead of a person: the reviewer can read the workspace read-only, a reviewer that cannot run hands the request back to the human, and every decision is recorded with its rationale in an Approvals tab.

DeepSeek Harness plugin bundle: grill_tree, a fixed-policy design-space search tool. Expands one decision per node, fans out independent proposers, has a separate judge prune the branches, beam-limits each depth, and ends with complete designs or an infea

Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and sprint context in a queryable DuckDB file, rules enforced on every model request, with a full management UI in the Web Client

Reminders and task timing for DeepSeek Harness: interval alerts while the model runs and overdue alerts past the planned time, plus a persistent red decision alert when the model needs your input (in-app reminder cards with sound while you are in DSH, system toasts when you are away, configurable or keep-until-dismissed card dwell time, and clicking a card jumps to its session); plan time per session, count model runtime only, and report actual vs. planned when the task ends, with a task board and persistent local records.

Product-thinking companion for DeepSeek Harness: clarifies negative boundaries first, separates facts from assumptions, routes through seven product lenses, and persists confirmed decisions to project memory.

Bridges the agent to a persistent OKF memory vault over MCP stdio: a Python server (SQLite FTS5 + Markdown) with 10 tools for searching and storing decisions, facts, learnings, conventions, profiles and sources.

Explicit, evidence-first multi-model consultation for DeepSeek Harness

📌 Sticky-note settings tab for DeepSeek Harness — agent notices & pending decisions visible in the Web GUI (Tailscale-friendly). Zero deps, read-only.

Wayfinder Dashboard — DeepSeek Harness 插件，把模糊想法画成一层层决定图

Email reminders from your DSH agent when you're away: fires at goal completion, blockage, before asking the user a decision, and at long-task milestones via a bundled zero-dependency Node SMTP sender.

Ferramentas avançadas do memoria: injeção de contexto de sessão (perfil + recuperação), decisões recentes, relatório de saúde, lista de permissões de namespace, grafo de relações de memória e busca de entidades; complemento do dsh-memoria