r/artificial Maps the Agent-Native Stack From Email and Phones to Wallets and Browsers

A discussion on r/artificial framed the current market in a useful way: every capability a human employee takes for granted is being rebuilt as an API primitive for AI agents. The post is basically an inventory of the emerging agent stack, grouping vendors by the function they provide rather than by model branding.

The list is worth reading because it is concrete. For communication, the author points to AgentMail, AgentPhone, and Kapso. For computing and execution environments, Daytona and E2B appear as computers for agents. For browsing and web access, the post names Browserbase, Browser Use, Hyperbrowser, Firecrawl, and Exa. Memory, payments, voice, SaaS access, API mediation, and people search each get their own layer through companies such as Mem0, Kite, Sponge, ElevenLabs, Vapi, Composio, Orthogonal, and Sixtyfour.

What makes the thread more than a simple tool roundup is the framing. The author argues that this no longer feels like a loose set of AI utilities. It looks more like the early infrastructure layer for agent-native products, where identity, memory, communication, browser control, and spending can be composed in an afternoon. That is a stronger claim than “there are many startups,” because it suggests the market is converging on reusable operational primitives.

The comments also add an important correction. Readers point out that capability alone is not the real bottleneck: testing, rollback, idempotency, and safeguards for irreversible actions may be the harder engineering problem. Giving an agent a phone number or wallet is easy compared with proving it will not call the wrong person at 3 a.m. or send a payment that cannot be undone.

That tension is what makes the thread worth capturing. The Reddit post is not a formal standard or exhaustive taxonomy, but it is a sharp snapshot of how practitioners currently see the agent ecosystem: less as one giant model race and more as a stack of APIs that let software actors communicate, search, remember, browse, and pay. For builders, that is a more operational lens than most top-level AI market narratives.