Plugin

GitHub Copilot LLM adapter: OAuth device-flow sign-in, live model discovery from the Copilot API, vision support for image-capable models (gpt-4.1, gpt-4o), and two wire protocols (Chat Completions and Responses API) with automatic endpoint routing per model.

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

Drive Origin scientific plotting from DeepSeek Harness AI chat via MCP: write data, plot line/scatter/column, export PNG/SVG.

WeChat iLink ClawBot bridge: official Tencent iLink protocol, Web UI settings (QR login / model / preset / permissions / session management with delete), 24h auto-renewal pushes a fresh QR before expiry, zero downtime.

A structured work-state protocol for DeepSeek Harness agent handoffs

NPM-installable DeepSeek Harness plugin that bundles Engram persistent memory MCP and injects parent-agent memory protocol.

Dual-protocol DIT.ai provider bundle for DeepSeek Harness

Agent- and GUI-controlled DG-LAB Coyote e-stim plugin: eight `coyote_*` tools plus a DSH web panel behind one safety envelope (soft limits, asymmetric rate limiter, session cooldown, playback caps, disconnect fail-safe); optional auto-stim layer maps agent events (tool calls, errors, turn end) to bounded pulses; official V3 socket protocol with QR pairing, programmable waveforms. Adults only.

A project-agnostic multi-agent collaboration protocol for the DeepSeek Harness: loop guards that stop runaway agent loops, a six-field handoff format, risk-tiered review routing, and a fixed verify→commit→push→review→close sequence. One skill instead of the same rules copy-pasted into every agent's instructions.

Bundle ACP di DeepSeek Harness per la delega dell'editor: un profilo server stdio Agent Client Protocol avviabile con un comando, che condivide le credenziali dsh e i log di sessione

Bundle per DeepSeek Harness con strumenti e skill di governance di Amber Protocol

MCP client hub (stdio / Streamable HTTP / SSE) with a web console for DeepSeek Harness — manage MCP servers, agent skills, slash commands, project & global memory, and prompt sections.

DeepSeek Harness (DSH) plugin: mount the nuphus-mcp desktop automation MCP server as native tools (mcp__nuphus-mcp__*).

Anthropic Model Context Protocol (MCP) client bridge plugin for DeepSeek Harness (dsh).

Multi-dimensional quality scoring for DeepSeek Harness plugins: scores one repo or npm package across install success (consuming dsh-test-drive results), maintenance activity, documentation completeness, security scan, and protocol compliance — every conc

Native dsh (DeepSeek Harness) Cordis plugin adapter for vision-translation: grounds images into <vision-context> via the Python CLI (PROTOCOL v1). Spawns cli.py, never re-implements core logic.

Inbound A2A (Agent2Agent) protocol server for DeepSeek Harness: publish an Agent Card and let any A2A-compliant peer submit tasks to a harness agent

DeepSeek Harness bundle that exposes Model Context Protocol (MCP) servers — stdio, streamable HTTP and legacy SSE — as native Harness tools, with a settings UI, live status, auto-reconnect, and backup/restore via local files or WebDAV.

DeepSeek Harness bundle that registers Claw Orchestrator as an ACP subagent provider — delegate a dsh subagent to a multi-engine council across Claude Code, Codex and Cursor.

Chemical safety intelligence through the hosted MSDS Chain MCP endpoint: 23 tools for compatibility and mixing order, GHS hazards, PPE, storage, waste disposal, exposure limits, transport classification, multi-region regulatory compliance, SDS lookup and version diffs, and signed audit reports, each answer citing the supplier SDS and revision date it is grounded in.

Zero-dependency MCP client bridge that connects stdio and HTTP MCP servers and registers their tools as mcp_<server>_<tool> for the agent.

Memory protocol enforcement plugin: bridges the opencode-memory MCP server, forces memory_weave before tool calls, auto-ingests turns, and injects memory context into agent steps.