Plugins

Percent-progress scoreboard docked below the todo pill: tracking_write rows with evidence-bound percents, host-captured git checkpoints with before/after deltas, and pursue/align/dismiss actions that reach the agent as instructions.

Adds confirmed DSH restart actions and durable automatic continuation for eligible top-level sessions through an existing compatible dsh-restart Host provider.

Lenovo laptop diagnostics for DSH: battery health on macOS and Windows, plus Windows device, performance, storage, app and Wi-Fi checks, user-confirmed maintenance actions, and battery warranty, parts, store and appointment helpers.

Percent-progress scoreboard docked below the todo pill: tracking_write rows with evidence-bound percents, host-captured git checkpoints with before/after deltas, and pursue/align/dismiss actions that reach the agent as instructions.

Memory triage for DeepSeek Harness: at the end of each turn it decides which entries to keep and which to archive, routes project-specific ones into a project bucket while global ones stay in the main store, merges near-duplicate entries, and falls back to an LLM when the rules are unsure — automatic actions are recoverable archives only, never deletions.

Shows a floating toolbar above text selected in a conversation, with copy, quote, ask, explain, translate, summarize, and custom prompt actions.

WeChat Mini Program automated testing for DeepSeek Harness (dsh): selector-addressed actions, build-freshness gates, geometry-first assertions that work on text-only models, and screenshot image blocks on vision routes. 微信小程序自动化测试 dsh 插件：选择器寻址、构建新鲜度门、面向纯文

蜗蜗 (Sumikko Gurashi snail) desktop pet for the DeepSeek Harness Web UI: 8-direction crawling, slime trail, file-drop feeding, sleep, and conversation reactions

The pet that grows with your agent: 5 evolution stages earned from real signals (verified rules, completed sessions, tool calls, compactions), agent-state mirroring, and one-click growth share cards. Zero dependencies, 100% local.

Injects allowlisted GitHub Actions and GitLab CI run metadata into agent context without reading logs, credentials, or provider APIs.

Action-state time memory: record typed states and actions, then analyze trends, anomalies, and causality.