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OpenCode Go provider that verifies a model against the gateway rather than treating a recommendation as a measurement: the models.dev protocol suggestion is probed before it is used, reasoning levels follow a measured contract, and requests run through an ordered protocol fallback chain. Context window, max output and image-input numbers are declared by a runtime-refreshed models.dev layer rather than probed, with operator overrides above both. Several OpenCode Go credentials can be stored and switched from the settings page.

Discovers OpenRouter's free models, measures their real speed and context size, and writes them into the DeepSeek Harness model list fastest-first, with speed and context in each display name, plus a Settings section to configure and run it.

Context compaction that keeps its receipts: a five-section handoff summary, a durable segment index, review tools that read compacted text back, optional working notes, and a read-only extraction exit. Mounts as the compaction-basic row's replacement; cha

Host- and agent-layer DeepSeek Harness plugin that prices every automatic context rewrite before it lands, asks the human by default, and reports what the provider had to re-read cold.

Rapid-refill circuit breaker for DeepSeek Harness automatic compaction. It refuses a compaction that would be futile — the context refilled within fewer than N tool turns M times in a row, which the unbounded step-pressure trigger cannot detect — and instead of burning a summarization call on every step it reports the situation with advice, usually that a single read or tool output was too large. Shows state and re-arms through /compaction-breaker, and injects one prompt section so the model relays it to the user. Covers host-plane sessions through its profile bundle; ordinary sessions need one row replaced inside an agent preset.

One-line clock context for DeepSeek Harness: a Current time timestamp reading (weekday, date, time, UTC offset, IANA timezone) opens every conversation turn and a Turn ended reading closes it, so the model always knows the time, date and idle gap across turns without asking.

Sidebar card that prices this session's tokens in RMB at official peak/off-peak rates and splits context share by source, with per-turn pricing and a Markdown/CSV history report.

Figma design context for the agent: reads a frame's node tree, auto-layout, paints and typography, resolves the variables it is bound to, and renders a screenshot to compare code against — plus four bundled design-to-code skills. Connect with one button against Figma's own consent page; the plugin ships its own OAuth app, refreshes tokens automatically, and never asks for or displays a token.

Model-driven context compaction for DeepSeek Harness. The agent decides when and what to compress, commits durable session-log replacements, and ships reversible tool-result compression with byte-exact hash retrieval.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

Adds a Global Prompt tab to the conversation view: text you write there is prepended to the top of every session system prompt, and saving takes effect on the next message without a restart.

Memory archive and prompt viewer for DeepSeek Harness: read back what compaction folded out of context - browse past sessions or Tavern playthrough archives (summary, original text, state) with full-text search - and inspect the prompt each turn actually sent, listing every assembled system section with its order, character count, offset, hash and mutability, plus an assembly map, registry export, and honest diagnostics when a section is empty or its log cannot be read. Optionally provisions a roleplay agent preset.

On-demand memory for DeepSeek Harness: session logs are distilled into layered markdown (a summary, an index and per-topic files), and a mem_query tool returns only the matched entries rather than the whole index. Nothing is injected per turn, there are no dependencies, and every entry keeps a source pointer back to the conversation it came from.

An Agent-safe context compressor for DeepSeek Harness. It semantically preserves critical tool outputs such as errors, file paths, JSON payloads and command results, instead of mechanically truncating the context.

DSH plugin: mint issue tracking integration — session context injection, event reminders, plan binding, a zero-approval `mint` tool, and a session tab.

让 DSH 智能体在新会话里按需检索同一工作目录下历史会话的记忆

DeepSeek Harness（dsh）Web GUI 插件：在上下文占用面板新增「压缩」与「交接」按钮。Adds Compact / Handover buttons to the dsh context panel (unofficial plugin).

Insight dock for the DSH Web GUI: lets an agent park a short, strictly-bounded side observation while it works, shows it above the composer, and lets the user ask to hear it later — with a context anchor that survives context compaction.

gopkg fork：接入 WorkBuddy / WorkBuddy AI 模型，支持按模型选择上下文窗口与桌面客户端请求格式。WorkBuddy models for DSH with selectable context windows.

DSH plugin: matches a model you declared on a custom gateway to the capability metadata it should have — context window, output cap, reasoning levels and image support — by looking the bare model name up at runtime; the plugin never writes your settings document.

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

Context occupancy and account balance for the DeepSeek Harness Web Client: a session-header readout, a balance capability seam, and a DeepSeek provider

Injects the current date and time into the runtime context on every turn, so the agent can read the time instead of inferring it.

ChatGPT-style side chat for the DSH Web GUI: ask small questions about the current topic in a floating side panel, answered by an independent lightweight session over the official /api RPC — the main conversation is never touched. Streaming text, collapsible reasoning, tool chips, stop button, agent-preset selector, and an automatic context snapshot from the visible main chat.