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About
Gobii AI is an autonomous agent platform that turns AI into virtual coworkers you can communicate with just like human teammates — via email, SMS, or chat. Each Gobii agent has its own name, email address, and phone number, and remembers everything you tell it. You describe the work in plain English, and your agent handles the rest: browsing the web, logging into sites, filling forms, extracting structured data, and sending you polished deliverables like reports, PDFs, and CSV exports. Under the hood, every agent runs in a real browser session — capable of navigating any website exactly as a human would, but without ever needing sleep. Agents maintain their own embedded database for persistent, queryable structured data, and connect seamlessly to your existing stack including CRMs, ATS platforms, project management tools, and webhooks. Gobii supports human-in-the-loop collaborative workflows, where AI handles research, enrichment, and outreach while humans review and approve key decisions. It's designed for use cases across recruiting, sales, healthcare, defense, and engineering. The platform is open source (MIT licensed), self-hostable, sandboxed per agent, and built with enterprise-grade security including full audit trails and proxy-only egress. Gobii is backed by Open Core Ventures and ranked #1 on OpenRouter.
Key Features
- Virtual Agent Identity: Each agent has a unique name, email address, and phone number, enabling natural communication via email, SMS, or chat — just like messaging a human teammate.
- Real Browser Automation: Agents run in actual browser sessions, capable of navigating websites, logging in, filling forms, clicking buttons, and extracting data exactly as a human would.
- Built-in Structured Database: Every agent maintains its own persistent embedded database for collecting, organizing, and querying structured data — no external tools required.
- Real Deliverables via Email: Agents generate reports, charts, CSVs, and PDFs and email them directly to you or your team as file attachments, delivering actionable outputs not just chat responses.
- Integrations & Human-in-the-Loop Workflows: Connects to CRMs, ATS platforms, project management tools, and webhooks, supporting collaborative workflows where humans review and approve while agents handle execution.
Use Cases
- Sales teams automating lead generation by having agents find 200+ ideal customers with verified emails and enriched contact data delivered as a CSV.
- Recruiters delegating candidate research to AI agents that browse job boards, extract profiles, and populate an ATS with structured applicant data.
- Operations teams deploying a Project Manager agent that tracks milestones, surfaces blockers, and sends daily status reports every weekday morning.
- Market analysts using Competitor Intelligence agents to monitor rival product launches, pricing changes, and news — with automated reports delivered to their inbox.
- Healthcare and defense organizations running compliant, sandboxed AI agents on self-hosted infrastructure to automate sensitive data collection and reporting workflows.
Pros
- Natural Communication Interface: Delegate tasks by simply emailing or texting your agent — no complex UI or programming required, making it accessible to non-technical users.
- Truly Autonomous 24/7 Operation: Agents work continuously without supervision, handling research, data collection, and outreach even outside business hours.
- Open Source and Self-Hostable: MIT-licensed and deployable on your own infrastructure, giving teams with strict compliance or data sovereignty requirements full control.
- Enterprise-Grade Security: Per-agent sandboxing, encrypted secrets, full audit trails, and proxy-only egress make it suitable for regulated industries like healthcare and defense.
Cons
- Higher Capacities Locked Behind Paid Tiers: Advanced throughput (Ultra, Ultra Max tiers) requires upgrading from the free plan, which may limit scale for heavy automation workloads on entry-level plans.
- Effectiveness Depends on Clear Delegation: Agents perform best when tasks are well-described; vague or ambiguous instructions may require iteration before delivering the desired results.
- Relatively New Platform: As an emerging product, the ecosystem of pre-built workers and integrations is still growing compared to more established automation platforms.
Frequently Asked Questions
How do I give tasks to a Gobii agent?
You can communicate with your Gobii agent via email, SMS, or the chat interface. Simply describe what you want done in plain English, and the agent will get to work. You can also forward attachments or iterate on results just like you would with a human coworker.
What kinds of tasks can Gobii agents handle?
Gobii agents can browse the web, find leads and contact information, fill out forms, log into websites, extract structured data, monitor competitors, generate reports, and send deliverables — across use cases like recruiting, sales prospecting, market research, and operations.
Is Gobii AI open source?
Yes, Gobii is open source under the MIT license. You can self-host it on your own infrastructure or use Gobii Cloud. It is backed by Open Core Ventures and designed with an open-core model.
What tools and platforms does Gobii integrate with?
Gobii connects to CRMs, ATS (applicant tracking systems), project management tools, Google Sheets, Perplexity Search, and supports webhooks — allowing agents to work within your existing workflows rather than alongside them.
What does Gobii's pricing look like?
Gobii offers a free trial with multiple upgrade tiers: Lite (1×), Standard (2×), Max (5×), Ultra (25×), and Ultra Max (60×). Higher tiers unlock greater agent throughput and task capacity. The core platform is also available as open source for self-hosting.
