DeepSeek Harness Agent Workflow Plugin: Orchestrate Multi-Step Agent Runs

DeepSeek Harness Agent Workflow Plugin: Orchestrate Multi-Step Agent Runs

The DeepSeek Harness Agent Workflow plugin (dsh-plugin-agent-workflow) is a standalone, installable Web UI plugin that adds a dedicated “Workflow” tab to DeepSeek Harness, letting you orchestrate and inspect multi-step agent runs as a clear execution chain. It renders your real recorded Session events — model requests, model responses, and tool calls — in chronological order, split by user conversation turn, with token and cache statistics that reveal exactly how context is reused across steps. Because it is read-only and non-invasive, it never adds messages, prompts, or tools to your requests, making it a trustworthy observability layer for anyone running complex, multi-step agent workflows on DeepSeek Harness. ...

August 29, 2026 · 9 min · baeseokjae
Your Agents Should Be Multiplayer: Collaborative AI Workflows (2026)

Your Agents Should Be Multiplayer: Collaborative AI Workflows (2026)

I’ve been running production AI agent systems for over a year now, and the single biggest shift I’ve seen in 2026 is this: the best agents don’t work alone. The teams getting real leverage out of AI aren’t the ones with one super-agent — they’re the ones running five, ten, or twenty specialized agents that talk to each other. This isn’t a prediction. It’s already happening. Meta’s HyperAgents paper (arXiv:2603.19461) proved that multi-agent systems can solve problems no single agent can touch. A production field study from Calx showed six agents building 82,000 lines of code in 20 days for $250. And the infrastructure to make this work — protocols, SDKs, open-source orchestrators — is already here, just not widely adopted yet. ...

July 14, 2026 · 9 min · baeseokjae