Plugin

Espone le capacità dell'agente DeepSeek Harness come server MCP, così un client MCP esterno (ad es. Hermes) può guidare Harness nell'esecuzione di task di programmazione. Hermes = cervello, Harness = braccia

Scanner locale limitato e privacy-safe per metadati di Codex, Claude Code, WorkBuddy e CodeBuddy: aggrega atomicamente evidenze chiave e consiglia deterministicamente preset DSH integrati e capacità opzionali — senza conservazione del contenuto, accesso di rete o mutazione dei preset.

Graph runtime capabilities for the DeepSeek Harness: register LangGraph compiled graphs as DSH tools, plus a graph-driven routing agent.

Nearly half the agent cost, with accuracy intact. Just enough tools is a DeepSeek Harness plugin that uses Jev to reveal tools and skills progressively. The main model starts with a clean planning step. Jev then selects which capabilities to add as the task unfolds.

Fronts stdio MCP servers with three router tools (list_capabilities, describe_tool, call_tool) so schemas load on demand instead of riding every request; shapes every tool result through a deterministic output ladder that archives the original first (retrieve_spill reads it back); prices tool groups in tokens and can hide built-in groups per agent. Bridges to a standard-library Python router, so Python 3.9+ is required.

Lets the AI insert streaming-generated UI into the conversation or a side panel, written in TSX — already one of the model's native languages, so there is no JSON schema to teach it. Rendered without flicker, state kept across frames with no hard remount, and a click in the card driving the next chat turn. Inline is where streaming matters most; the side Canvas is the more agentic shape. Cards get agentic capabilities of their own — run bash, curl, call the model, read and write files.

Plugin DeepSeek Harness (dsh) che collega la piattaforma desktop locale 'Screen Automation Helper' (Windows/macOS) nel sistema di strumenti Agent. Espone stato, capacità, elenco/esecuzione/arresto workflow, gestione esecuzioni, cattura schermo, primitive di riconoscimento locale

Espone le funzionalità interne di dsh (linguaggio, registro dei workspace, eventi di stato degli agent e di approvazione) via HTTP sotto /dsh-api sul socket di loopback locale su cui dsh è già in ascolto, con distribuzione SSE su /dsh-api/events.

Scopre automaticamente elenchi di modelli, prezzi e capacità dagli host API compatibili OpenAI, li normalizza ed emette configurazioni di modelli pronte all'uso per dsh.

Audits a DSH profile for capabilities nothing consumes: inventories the declared composition rows, counts how often each registered tool and skill is actually called in the session logs, separates calls that were made from calls that returned a result, and reports the ones with no observed consumer. Ships a skill that fixes the evidence-chain format for completion claims.

Computer Use for macOS desktop applications: reads any app's accessibility tree as text with element indices, then clicks, types, pastes, scrolls, drags, selects text and sets values through it, plus screenshots read back as images. Driven by a persistent JavaScript REPL — the agent gets two tools (`js`, `js_reset`) and calls an `sky` API inside them, so state survives between calls and the tool schema stays fixed as capabilities grow. Accessibility trees come back as diffs after the first read; actions address elements by index and indices from a stale read are refused rather than misapplied; typing waits for keyboard focus and reads the field back; paste restores the clipboard. Requires macOS 14.4+, Accessibility permission (Screen Recording only for screenshots) and Node 20+; ships a prebuilt native module, so nothing compiles at install time.

Runtime observability and plugin operations panel for DeepSeek Harness: shows the profile plugin tree, real Loader fiber state, capabilities/dependencies/compatibility, current-session plugin activity and upstream source/version checks, with one-click enable/disable/update/uninstall plus a standalone startup-failure diagnostics page that works while DSH is not running.

Native DSH foundation bundle that registers a persistent default workspace, provides paged read-only inspection of plugins, skills, memory, sessions, storage, settings, credentials, and DSH_HOME files, and synchronizes rich CLIProxyAPI model capabilities into native provider settings.

一个DSH插件，为自定义模型配置输入类型(input)、推理模式（reasoningEfforts）

DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.

Per-model reasoning effort (off/minimal/low/medium/high/xhigh) for GPT, Codex, Gemini and OpenAI-compatible models. Installs a helper, not a runtime adapter: run enable-capabilities.ps1 once per profile (Windows) and restart — it declares the levels in ~/.dsh/settings.yaml, with a disable script and a backup to revert.

LLM compatibility auto-healer: detects 400 errors from incorrectly declared model capabilities (thinking/reasoning) on transit/gateway providers, then idempotently patches `llm-pi-ai` config and suppresses thinking on the next request — no restart needed. Full settings UI for every pi-ai compat field.

Hold a DeepSeek Harness agent to a capmark capability manifest: mask its tools and judge every call.

Configure model input capabilities and reasoning efforts for DeepSeek Harness

Container-isolated backend for the `ctx.codeRuntime` seam: each Code Mode program runs in a fresh container with no network, a read-only rootfs, dropped capabilities, and kernel-enforced memory, CPU and pid ceilings.