Eve

What it does

Eve is an AI agent harness that executes tasks in an isolated Linux sandbox environment. It has access to a real filesystem, headless Chromium browser, code execution capability, and connectors to over 1,000 services. Users describe a task in natural language—via Slack, iMessage, email, or direct message—and Eve works through it in the background until complete. The system runs on 2 vCPUs, 4GB RAM, and 10GB disk.

Who it is for

The product targets software business operators who want to automate recurring work across their operational stack. Use cases shown include billing management, competitor research, social media campaign planning, email coordination, invoice follow-up, expense reporting, and release note drafting. The positioning emphasizes it as a "helpful colleague" or "digital worker" rather than a personal assistant.

Pricing

The site does not show prices.

How it stands out

Eve emphasizes integration breadth—listing connections to Stripe, GitHub, Linear, Sentry, PostHog, and 3,000+ additional services—rather than requiring migration or workflow changes. It operates in an isolated, managed sandbox rather than requiring self-hosting. The approval workflow adds human oversight: Eve shows exactly what it did with sources before execution. The interface spans multiple communication channels (Slack, email, SMS) so users interface with the agent wherever they already work.

What a founder should check

First, examine the competitive landscape around AI task automation. Established competitors like Make, Zapier, and n8n already handle multi-service workflows, while AI-first agents are proliferating. Understanding where Eve's sandbox approach and browser access create genuine advantages—versus incremental feature parity—matters for differentiation.

Second, verify switching costs. The product's value likely grows with integration depth into a customer's stack. Check whether account portability, data export, and API access would make customers feel locked in or confident they can leave.

Third, validate the pricing model and unit economics. At launch, no pricing appears publicly. A potential rival should model whether this works as a per-task charge, monthly subscription, usage-based billing, or hybrid—and whether margins support the infrastructure cost (sandbox compute, API call volume to 3,000+ services, browser automation).