
Library of 266 plug-and-play AI expert roles across 18 tools, with 50 Chinese-market agents.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Agency Agents Zh — Library of 266 plug-and-play AI expert roles across 18 tools, with 50 Chinese-market agents. Best for Teams needing rapid AI expert deployment, Companies targeting Chinese social media platforms, Developers using multi-AI-tool workflows. Free to use.
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A unique and practical library for teams already using multiple AI tools and needing specialized roles, especially for the Chinese market. The DAG orchestration is a standout feature, but reliance on external tools and a CLI-heavy interface may limit adoption. If you already use Hermes Agent, Cursor, or similar tools and need a ready-made expert catalog, it's a strong fit. Otherwise, consider a single all-in-one assistant like ChatGPT or Cohere for simpler needs.
Skip Agency Agents Zh if Skip Agency Agents Zh if you do not already use at least one of the 18 supported tools (Hermes Agent, Claude Code, Cursor, Copilot, etc.) or if you prefer a single AI assistant over assembling specialized agents.
Compare with: Agency Agents Zh vs Zhipu GLM, Agency Agents Zh vs Poolside AI, Agency Agents Zh vs OpenHands
Last verified: July 2026
How likely is Agency Agents Zh to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Agency Agents Zh is a comprehensive library of 266 pre-built AI expert personas designed for immediate use across 18 different tools, including Hermes Agent, Claude Code, Cursor, Copilot, and more. These agents span 20 business departments such as engineering, design, marketing, and finance, with a special focus on the Chinese market through 50 original agents optimized for platforms like Xiaohongshu, Douyin, WeChat, Feishu, and DingTalk. The system works in conjunction with an orchestrator tool called agency-orchestrator, which enables you to assemble multiple agents into a directed acyclic graph (DAG) workflow with a single command, allowing automatic collaboration among experts without manual coordination. Targeted at teams who need to rapidly deploy AI expertise across various domains, this tool emphasizes plug-and-play simplicity and cross-platform compatibility. You can select roles from an extensive catalog, integrate them into your existing toolchain, and orchestrate complex tasks that require multiple specialized viewpoints. The inclusion of Chinese-specific agents makes it particularly valuable for companies operating in or targeting the Chinese market, while the DAG-based orchestration sets it apart from simpler single-agent solutions.
Agency Agents Zh fills a niche: teams that have already invested in multiple AI coding tools and want to quickly assemble a virtual workforce. The breadth of roles (266) and coverage of 20 departments is impressive. The 50 Chinese-market agents are a clear differentiator—if you operate on Xiaohongshu or WeChat, this library saves significant prompt engineering. The DAG workflow orchestration via agency-orchestrator is a genuine time-saver: you define a workflow once and run it with one command. However, the tool is not standalone—you need at least one of 18 supported tools installed. The interface is CLI-heavy; there's no GUI for non-technical users. Documentation on rate limits, context windows, and performance is absent—these depend entirely on the underlying tool. For teams already in the ecosystem, it's a valuable add-on. For new users, the upfront setup cost may be a barrier.
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Concrete scenarios for the personas Agency Agents Zh actually fits — and what changes day-one when you adopt it.
You need to produce daily Douyin video scripts and WeChat articles. You select a copywriting agent for Douyin from the catalog and a content planner for WeChat, then link them in a DAG to auto-generate and format posts.
Outcome: In one command, the agents collaborate to produce on-brand content for both platforms, reducing manual writing time by 70%.
You want automated code review across multiple repos. You search the catalog for a code-review agent specialized in your stack, assign it to monitor pull requests via Copilot, and set up a DAG to run tests after review.
Outcome: Code reviews happen automatically, catching issues early, and you avoid manual coordination between reviewers.
You need market research, pricing strategy, and ad copy. You select three agents (market analyst, pricing strategist, ad copywriter) and chain them in a DAG workflow.
Outcome: The agents sequentially produce a cohesive launch plan in minutes, which you refine and execute.
as of 2026-07-06
The company stage and team size where Agency Agents Zh's pricing actually pencils out — and where peers do it cheaper.
Agency Agents Zh itself appears free, making it an excellent value for teams already paying for tools like Cursor or Copilot. However, compared to a free assistant like ChatGPT, the true cost includes the underlying tool subscriptions. For teams with existing tooling, it's a no-brainer; for those starting from scratch, the bundled cost may exceed simpler AI options.
How long it actually takes to get something useful out of Agency Agents Zh — broken out by persona, not the marketing-page minute.
First value in minutes if you already have a supported tool installed: import the agent library (git clone) and select a role. Full DAG workflow setup takes 15-30 minutes for a simple chain. Without supported tools, you need to install and configure one first (30-60+ minutes).
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Common stack mates teams adopt alongside Agency Agents Zh, with the specific reason each pairing earns its keep.
Zhipu GLM
Chinese LLM platform for enterprise agents, MaaS, and open-source models
Poolside AI
Enterprise open-weight foundation models and agents for high-consequence software engineering.
OpenHands
Open platform for autonomous cloud coding agents that fix bugs, review PRs, and migrate code asynchronously.
Enterprise open-weight foundation models and agents for high-consequence software engineering.
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