Overview
ZooWork positions itself as an agent delivery platform rather than yet another chatbot builder. The core idea is that most teams don’t need a blank assistant—they need a role’s knowledge, procedures, and approval gates packaged into something that reliably does the work. You start by describing the job in plain conversation, and ZooWork’s Agent Builder turns that into a working agent with its own managed cloud sandbox, knowledge management, and IM-channel access. The product was rebranded from ZooClaw in September 2026 and is operated by Serendipity One Inc.
What makes it distinct is the delivery model. Instead of one agent serving one person, each client or workflow can get its own isolated agent with separate files, while a shared playbook stays constant. Agents can be published to Slack, Lark, Teams, or Jira, triggered on schedules, and held at an always-ask approval gate before writing to systems like a WMS or ERP. For developers, the Managed Agent API exposes the same agent loop through TypeScript and Python SDKs, so you can embed agents inside your own product without running the loop yourself. In our evaluation this ‘expert playbook in a box’ framing is genuinely useful for agencies and consultants who repeat the same methodology across clients, though the hosted-only model means you trade self-hosting control for managed convenience.
Key Features
- Conversation-driven Agent Builder that turns a role’s knowledge and procedures into a working agent
- 50+ industry templates and 20+ leading models with multimodal generation
- Managed runtime with IM-channel integrations (Slack, Lark, Teams, Jira, GitHub) and scheduled triggers
- ZooData turns URLs into agent-ready JSON to cut token usage on web research
- Managed Agent API with TypeScript and Python SDKs for embedding agents in your own product
- Always-ask approval gates keep sensitive writes (ERP, WMS) behind human sign-off
Pricing
| Plan | Price | What’s included |
|---|---|---|
| Free trial | $0 | Starter 7-day trial, no charge; cancel in settings |
| Agent Builder Pro | $30/mo (list $100) | 6,000 credits + 14,000 bonus, 4-core CPU / 4GB RAM / 40GB storage |
| Managed Agent API | from $5 | Prepaid credits; models at provider price, sandbox ~$0.20/running hour |
| Enterprise | Custom | SSO, DPA, SLA, dedicated onboarding |
Comparison
ZooWork is closer to Dify than to a raw coding agent: both let non-engineers assemble agent workflows, but ZooWork leans on conversation and a managed runtime while Dify favors a visual canvas and self-hosting. Against AutoGPT, ZooWork is hosted-only with chat-app delivery and a paid API, whereas AutoGPT offers a free self-hosted option. If you want a generalist that runs entire business functions autonomously, Manus is the broader comparison—ZooWork wins when you are shipping the same expert playbook to many clients rather than one open-ended task.