What AI models does the agent use?

The agent has access to Claude, DeepSeek, Gemini, and other top models. It automatically routes to the best model for each task — you never have to think about API keys or token limits.

Yes. Each agent runs in an isolated environment. We don't train on your data, and you can export or delete everything at any time. The underlying engine (GoGogot) is open-source, so you can audit exactly how it works.

What can the agent actually do?

Browse the web, process files (CSV, PDF, images), run scheduled tasks, remember context across sessions, and communicate via Telegram or Slack. Think of it as a capable junior employee, not a chatbot.

How does memory work?

The agent maintains persistent memory across sessions. It remembers your preferences, past conversations, and task context. You can also explicitly tell it to remember or forget things.

Can I self-host the agent?

Absolutely. GoGogot is 100% open-source. Run it on your own hardware for free. cowork.ink is the managed version — we handle servers, model costs, updates, and uptime so you don't have to.

Is there a free trial?

We offer a 7-day money-back guarantee. Spin up an agent, give it real tasks, and if it doesn't save you time, we'll refund you — no questions asked.

What is an AI agent management platform?

An AI agent management platform provides the operational layer for running AI agents at scale — covering user access controls, agent configuration management, usage monitoring dashboards, cost tracking, audit logs, and incident response. It's the difference between having AI agents and being able to govern them responsibly.

What features should an AI agent management platform have?

Core features include: role-based access control (RBAC) with SSO integration, per-agent and per-user usage dashboards, audit logs of every agent action, cost tracking and budget limits, agent version management, and alerting for anomalous behavior. Enterprise platforms also need compliance reporting and data residency controls.

How does RBAC work for AI agents?

Role-based access control for AI agents means different users have different permissions: admins can create/delete agents and view all usage; team leads can manage their team's agents; regular users can only use agents they've been granted access to. Some platforms also support per-agent tool restrictions — limiting which APIs an agent can call based on the user's role.

Can I track AI agent costs per team or department?

Yes, enterprise AI agent management platforms support cost attribution by team, department, project, or agent. This enables chargeback models, budget enforcement, and ROI measurement per business unit.

AI Agent Management Platforms: Admin Panels, Roles & Usage Dashboards

Compare AI agent management platforms by admin panel depth, RBAC, usage dashboards, and audit logging. Find the right platform for enterprise-scale agent governance.

Frequently Asked Questions

What is an AI agent management platform?: An AI agent management platform provides the operational layer for running AI agents at scale — covering user access controls, agent configuration management, usage monitoring dashboards, cost tracking, audit logs, and incident response. It's the difference between having AI agents and being able to govern them responsibly.
What features should an AI agent management platform have?: Core features include: role-based access control (RBAC) with SSO integration, per-agent and per-user usage dashboards, audit logs of every agent action, cost tracking and budget limits, agent version management, and alerting for anomalous behavior. Enterprise platforms also need compliance reporting and data residency controls.
How does RBAC work for AI agents?: Role-based access control for AI agents means different users have different permissions: admins can create/delete agents and view all usage; team leads can manage their team's agents; regular users can only use agents they've been granted access to. Some platforms also support per-agent tool restrictions — limiting which APIs an agent can call based on the user's role.
Can I track AI agent costs per team or department?: Yes, enterprise AI agent management platforms support cost attribution by team, department, project, or agent. This enables chargeback models, budget enforcement, and ROI measurement per business unit.