@dttxorg/deepseekeyes
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
142 results
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.
Kimi Code as the agent loop of DeepSeek Harness — ACP bridge loop plugin
Enhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)
Use AI agents from the DSH session UI.
Open A2A network plugin for DeepSeek Harness: signed agent cards, decentralized peer/zone discovery, direct routing model tools, and joinable session nodes with a sidebar control
One-way structured conversation, project, MCP, memory, and context migration between Codex and DeepSeek Harness. Codex 与 DSH 的单向结构化迁移插件。
MCP admin for dsh: /mcp server status and per-profile MCP server management (add/edit/delete/enable) from the settings page, via a typert remote.
DeepSeek Harness (DSH) plugin: mount the nuphus-mcp desktop automation MCP server as native tools (mcp__nuphus-mcp__*).
Track Bridge: embedded task-management engine for DeepSeek Harness — decision-point protocol, capture wall, and Linear-shaped issue store over session events + storage KV
Zero-dependency MCP client bridge for DeepSeek Harness: connects stdio/HTTP MCP servers and auto-registers their tools for the agent.
DeepSeek Harness tools for reproducing the ml-quant-trading protocol v1 benchmark.
Telegram runtime adapter for DeepSeek Harness — chat with your dsh agents from Telegram.
Multi-agent orchestration and LLM model routing for DeepSeek Harness (DSH): semantic AI agent Specialists, exact model routes, declarative Cohorts and Strategies, and bounded subagent delegation.
Generic LLM gateway model provider plugin for DeepSeek Harness: mounts newapi / LiteLLM / Higress / any OpenAI-compatible gateway as provider routes, auto-discovers the model list, enriches every model with models.dev parameters, and dispatches each model over its native wire protocol (OpenAI / Anthropic / Gemini) via the pi-ai SDK
DSH 中转站模型思考强度配置与自动识别插件
Cursor subscription for DeepSeek Harness with browser login, token refresh, model discovery, and the Cursor Agent chat protocol
MCP server that searches the Roblox DevForum and official creator docs so AI coding agents can debug Roblox games against real community and engine knowledge.
Ask any line of code its backstory: what it does, and why it's here — grounded in git history and the agent's own session log. Ships a DeepSeek Harness plugin and a standalone MCP server.
Expose a DeepSeek Harness agent over the Agent2Agent (A2A) protocol: agent card, JSON-RPC endpoint, LLM-powered replies, and a live status card.
MCP server that lets any agent discover, install, and run DeepSeek Harness plugins.
dsh plugin: daily RSS news digest from 46 curated sources, LLM-edited via the model already configured in dsh, delivered to your IM via webhook (ServerChan / PushDeer / WeCom / Telegram / Bark / gotify / custom).
Ollama native protocol (/api/chat) provider for DeepSeek Harness: llm-ollama settings namespace, serving LlmAdapter, /api/tags model discovery, and a whole-page Ollama settings section.
Delegate and monitor DeepSeek Harness work from any MCP agent.