AI Coding Live News

DeepSeek Harness Launches Creator Mode: Describe a Plugin in Chat and the Agent Builds It, With 7 Official Demo Prompts

DeepSeek Harness, DeepSeek's open-source, MIT-licensed agent app, announced Creator Mode on its official X account on November 2: users describe the plugin they want in plain language, and the agent turns it into a plugin they can use. Demos include a 3D landmark gallery, a 3D Transformer visualizer, a video editing workbench and a paper reader. DeepSeek also published seven bilingual demo prompts on cdn.deepseek.com, cautioning that some plugins took several rounds of conversation, so a single prompt may not reproduce the video exactly. The post drew about 20,000 likes and 1.69 million views. No benchmarks were published.

DeepSeek Harness Launches Creator Mode: Describe a Plugin in Chat and the Agent Builds It, With 7 Official Demo Prompts

Key Takeaways

  • Creator Mode: describe the plugin you want in natural language and the agent turns it into a usable plugin, from a design workspace to a sandbox game or a 3D LLM visualizer.
  • DeepSeek published 7 demo prompts: a 3D landmark gallery, a 3D Transformer demo, a five-style app theme switcher, a poster workbench, a video editor, a paper reader and a token-usage statistics plugin.
  • The entry point shipped in v0.2.1-rc.5 (Oct 30 pre-release): plugin management gained a "Let Agent create a plugin" button that opens Creator mode and keeps the draft.
  • The GitHub repo has about 270,000 stars under the MIT license; Harness is still in preview.
  • No benchmarks or success rates were published; the announcement drew about 20,000 likes and 1.69 million views.
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DeepSeek Harness team open-sources dsh-superagent, a proactive coding agent prototype for a single GitHub repo, alongside its Super-agent architecture article

On Oct 31, deepseek-ai open-sourced dsh-superagent-prototype on GitHub under the MIT license: a proactive coding agent that runs as a DeepSeek Harness bundle, lives on one GitHub repository and can optionally listen to Feishu. When an allowed person asks for work, it opens a work item, works in its own session and directory, and answers in the original conversation, for example with a pull request. The README states it is a research prototype, not an official DeepSeek product. The companion article, Exploring Super-agent Design, proposes a two-layer Router-Worker architecture; the team test, as reproduced by media, reports a p95 completion time of 15.7 minutes versus 29.5 minutes for a single-session setup.

Key Takeaways

  • Open source: deepseek-ai/dsh-superagent-prototype went public on Oct 31 under MIT, written in TypeScript, with about 1,800 stars at the time of writing
  • Scope: each deployment serves 1 GitHub repository, with optional Feishu; it acts only when an allowed person addresses it or a team-written rule allows it
  • Delivery: by default it only allows auto-merge for an approved pull request opened for a ticket with fewer than 200 changed lines, and never enables auto-merge as the agent account
  • Team test (as reproduced by media, vendor-reported): in a simulation with about 300 messages and 20 requests, p50 / p95 completion was 12.4 / 15.7 minutes versus 20.4 / 29.5 for a single session with a subagent tool
  • Risk: worker sessions run commands without approval as the operator's OS user, and the README asks users to review and adapt the code first
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DeepSeek Harness v0.2.1: desktop apps plus experimental Claude Code Mods compatibility

GitHub dsh-v0.2.1-alpha.1 (2026-10-03T06:42:19Z) adds an experimental Claude Code Mods compatibility layer to MIT DeepSeek Harness (~243k stars)—explicitly to test that Mods APIs are broadly a subset of dsh plugins, not full compatibility—continuing v0.2 desktop apps. Get it at deepseek.com/harness or npx @deepseek-ai/dsh web.

Key Takeaways

  • Sources: dsh-v0.2.1-alpha.1 (2026-10-03), deepseek-ai/deepseek-harness (~243k★), deepseek.com/harness
  • Experimental Claude Code Mods layer = subset validation, not full compatibility
  • v0.2 desktop: macOS Apple silicon + Windows x64 with bundled dsh command
  • Everything-is-a-plugin on Cordis; OpenAI-compatible providers supported
  • Developer preview with breaking changes—sandbox before production
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Official DeepSeek Harness Desktop App Released: Bundles Cordis Plugin Core for Daemon-Free Local Agent Workflows

DeepSeek AI (@deepseek_ai) has officially launched the standalone desktop application for DeepSeek Harness (dsh) across macOS and Windows. Designed to eliminate the engineering overhead of managing CLI background daemons and local sandbox sockets, DeepSeek Harness Desktop integrates the web UI, the Cordis plugin execution engine, and isolated sandboxing into a native local client. It delivers out-of-the-box support for visual trajectory playback, arbitrary session branching, and multi-model sub-agent delegations.

Official DeepSeek Harness Desktop App Released: Bundles Cordis Plugin Core for Daemon-Free Local Agent Workflows

Key Takeaways

  • Eliminates complex multi-process CLI terminal setups by packaging the Cordis agent engine into a standalone GUI.
  • Integrates native visual trajectory playback, inspecting tool execution, file diffs, and chain-of-thought traces in milliseconds.
  • Introduces deterministic session forking, enabling developers to branch and retry failed agent steps without invalidating global context.
  • Supports heterogeneous sub-agent delegation, seamlessly piping sub-tasks to Claude Code, OpenCode, or local Ollama instances.
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HarnessRouter open-sources Unified Harness Protocol: one API for Codex, Claude Code, Hermes, and more

@akshay_pachaar highlighted HarnessRouter (github.com/HarnessRouter/harnessrouter, Apache-2.0): an “OpenRouter for agent harnesses” implementing the Unified Harness Protocol (UHP) so Codex, Claude Code, Hermes, DeepSeek Harness, System One (Jev), and 9+ other harnesses share one API for sessions, streaming, files, cancellation, and failure handling—self-hosted with your own keys.

Key Takeaways

  • Open-source github.com/HarnessRouter/harnessrouter (Apache-2.0); site harnessrouter.ai.
  • Unified Harness Protocol: one API for sessions, streaming, files, cancellation, and failures.
  • Supports Codex, Claude Code, Hermes, DeepSeek Harness, System One (Jev), and 9+ other harnesses.
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dsh-ios: iOS Simulator and USB devices inside DSH chat with 22 build/UI/OCR agent tools

Open-source dsh-ios (DeepSeek Harness plugin) wires the iOS Simulator and USB devices into the chat: 22 tools cover build, boot, logs, OCR, accessibility tree, and UI control, with a live sidebar for tap/drag. Device signing follows configurable Xcode teams and stays local with short-lived signatures; requires macOS and full Xcode (github.com/ZSeven-W/dsh-ios).

Key Takeaways

  • Role: DSH plugin putting Simulator/USB devices inside the coding-agent chat.
  • Tools: 22 for build, logs, OCR, accessibility tree, UI ops, live sidebar.
  • Constraints: macOS + full Xcode; local short-lived device signing.
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DeepSeek Ships V4-Flash-Vision-Exp, Nearing Opus 4.8 on Multimodal Agents

DeepSeek launched DeepSeek-V4-Flash-Vision-Exp on its API: an experimental multimodal model that matches V4-Flash on text, agents, and reasoning, while jumping close to Claude Opus 4.8 on multimodal agent benchmarks. A free Files API and DeepSeek Harness 0.1.1 landed the same day, with images billed at up to 384 tokens each.

Key Takeaways

  • Available now as model='deepseek-v4-flash-vision-exp' across Chat Completions, Messages, and Responses
  • Multimodal agent scores leap toward Opus 4.8 while keeping V4-Flash-level text and tool use
  • Free Files API lets teams upload an image once and reuse it by file_id across requests
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DeepSeek Ships V4-Flash-Vision-Exp: Multimodal Agents Near Claude Opus 4.8

DeepSeek-V4-Flash-Vision-Exp is live on the API: it matches V4-Flash on text—including agents, reasoning, and world knowledge—while jumping on multimodal agent benchmarks to near Claude Opus 4.8. A free Files API and DeepSeek Harness 0.1.1 ship with it; images bill at V4-Flash rates (up to 384 tokens each) and drop into existing agent frameworks.

Key Takeaways

  • The experimental vision model keeps V4-Flash text/agent strength while pushing multimodal agent scores close to Opus 4.8
  • Chat Completions, Messages, and Responses are supported; images mix in via base64, URLs, or the Files API
  • Files API is free with file_id reuse, and Harness 0.1.1 supports the model out of the box for agent stacks
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Milvus Ships Official Plugin for DeepSeek Harness for Read-Only Vector Retrieval

Milvus released an official integration plugin for DeepSeek Harness 0.1, providing high-concurrency hybrid vector retrieval and secure read-only context injection for open-source autonomous agents.

Key Takeaways

  • Seamless compatibility with DeepSeek Harness 0.1 to provide out-of-the-box vector knowledge retrieval;
  • Strict read-only security guards protect enterprise vector collections from unintended agent modifications;
  • Integrates smoothly with Milvus 3.0 StructArray for multi-vector contextual retrieval in agent loops.
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DeepSeek-V4-Flash-Vision-Exp Goes Live on API with Near-Opus 4.8 Multimodal Agent Capabilities

DeepSeek launched deepseek-v4-flash-vision-exp on its API, maintaining ultra-low V4-Flash pricing while achieving multimodal coding and agent performance approaching Claude Opus 4.8.

Key Takeaways

  • Preserves ultra-cheap V4-Flash token rates for both text and vision multimodal inputs;
  • Achieves massive leaps on multimodal agent benchmarks, rivaling Claude Opus 4.8 on GUI and diagram reasoning;
  • Day-0 support added in DeepSeek Harness 0.1.1 for seamless agent orchestration and benchmarking.
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DeepSeek-V4-Flash-Vision-Exp goes live: multimodal agents near Opus 4.8 at V4-Flash image rates

DeepSeek launched experimental DeepSeek-V4-Flash-Vision-Exp on its API platform. The company said the model matches DeepSeek-V4-Flash on text capabilities, including agents, reasoning, and world knowledge, while multimodal agent benchmarks jump substantially over V4-Flash and land close to Opus 4.8. Developers call it with model='deepseek-v4-flash-vision-exp'. It supports Chat Completions, Messages, and Responses, with mixed text-plus-image input via base64, external URLs, or the Files API. Images are billed at up to 384 tokens each at V4-Flash pricing. DeepSeek Harness 0.1.1 shipped the same day with out-of-the-box support, and a free Files API lets teams upload an image once and reuse it by file_id. For coding agents, the relevant use cases are screenshot-to-fix, visual UI diffs, and tool-using workflows that need to see the page or IDE rather than only the repo.

Key Takeaways

  • Multimodal agent benchmarks jump over V4-Flash and are claimed near Opus 4.8.
  • Chat Completions, Messages, and Responses compatibility lowers swap-in cost for existing agent stacks.
  • Images bill at V4-Flash rates (≤384 tokens each); a free Files API reuses uploads by file_id.
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DeepSeek-V4-Flash-Vision-Exp goes live: multimodal agents near Opus 4.8, Harness 0.1.1 included

DeepSeek launched experimental DeepSeek-V4-Flash-Vision-Exp on its API. Text capability—including agents, reasoning, and world knowledge—matches V4-Flash, while multimodal agent benchmarks jump toward Opus 4.8. It supports Chat Completions, Messages, and Responses, with mixed text/image input via base64, URLs, or the new Files API. Images bill at up to 384 tokens each at V4-Flash prices. DeepSeek Harness 0.1.1 ships with out-of-the-box support.

Key Takeaways

  • Open-weight multimodal agents are now claimed near Opus 4.8—material for screenshot-to-fix and visual UI work.
  • Chat Completions, Messages, and Responses compatibility lowers the cost of swapping the model into existing agent stacks.
  • Image billing at V4-Flash rates (≤384 tokens/image) keeps multimodal agent cost bounded.
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