Gumloop builds visual AI workflows. AnyAIAgent runs persistent AI agents with a marketplace. Different categories, but both come up in the 'how do I deploy AI without writing code' search. Here's where each wins.
Gumloop is a no-code visual workflow builder — drag nodes, connect them, the workflow runs when triggered. It's good at automation chains: when X happens, fetch Y, ask GPT to do Z, send email.
AnyAIAgent is a different shape — agents with persistent memory, multi-channel deployment (messaging apps), and a marketplace where users rent pre-built agents. Closer in spirit to ChatGPT Custom GPTs or Lindy than to Zapier.
If your use case is 'build a 5-step automation that fires on a webhook,' Gumloop is probably the right tool. If your use case is 'put a working AI agent in front of customers on Telegram or in a Slack channel,' that's AnyAIAgent.
| Capability | AnyAIAgent | Gumloop |
|---|---|---|
| Pre-built marketplace | ✓ 700+ agents | Limited templates |
| Multi-channel deployment | ✓ Telegram, WhatsApp, Discord, Slack, iMessage, web | Workflow trigger only |
| Persistent memory across sessions | ✓ Per-agent + cross-agent (Super Memory) | Limited |
| Run agents on your own hardware | ✓ Bridge desktop app | Cloud-only |
| Visual workflow builder | Limited (skill chains) | ✓ Strong |
| Real container environments (shell, file system) | ✓ 12 tiers | ✗ |
| Stripe Connect for sellers | ✓ Marketplace revenue share | ✗ |
| Free tier | ✓ 2 cloud agent credits | ✓ limited runs |
| Best for | Customer-facing AI agents in messaging | Internal automation chains |
Gumloop workflows are stateless by default — each run starts fresh. AnyAIAgent agents have persistent per-agent memory built in, plus optional cross-agent shared memory.
Gumloop can send messages but it's not its core use case. AnyAIAgent has multi-channel deployment as a first-class feature.
Gumloop is cloud-only. AnyAIAgent's Bridge app + WildClaw tier let you run the entire stack — agent, LLM, memory — on your machine.
Yes. Some users use Gumloop for back-end automation chains and AnyAIAgent for the customer-facing agent layer. Webhook the two together.
Depends on volume. Gumloop charges per workflow run; AnyAIAgent charges per active agent. For low-volume / many-customer scenarios, AnyAIAgent usually wins. For high-volume internal workflows, Gumloop usually wins.
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