The short answer
An AI agent is software that uses a language model to read information, choose steps and use tools. A self-hosted platform is the system around those agents: the builder, connections, permissions, approvals, schedules and logs. Your team runs it on a server you control.
What a platform adds to a model
- Connections to mail, files, databases, chat and business software.
- Limits on which actions each agent can use.
- Human approval before actions that change things.
- Automation through schedules, webhooks and incoming email.
- Records of runs, tool calls, decisions and costs.
When self-hosting makes sense
- You handle confidential documents or customer data.
- Your security team wants the database and files on your own network.
- You want to use a local model, or choose your own AI provider.
- You need agents to reach internal systems.
When a hosted service is simpler
Self-hosting needs someone to run the server, apply updates, and look after backups and keys. If you have no one to do that and your data is not sensitive, a hosted service can be the better choice.
What data still leaves your server
Self-hosting keeps your database and files on your server, but it does not stop every data flow. Agents send what they read to the model provider you choose, and connectors send data to the services you connect. A local model keeps the model step on your own network.
What to check before you choose
- How are workspaces and customers kept apart?
- Can you limit each agent to specific actions?
- Can a person approve changes before they happen?
- Can you use the model you want, including a local one?
- Is there an audit trail you can check?
- Who does backups, upgrades and key rotation?
How Hivelock fits
Hivelock is a self-hosted AI agent platform in early access. It includes a visual workflow builder, 74+ templates, 26+ connectors, document search, approvals and a hash-chained audit log. See the documentation and security overview.
Common questions
Is a self-hosted AI agent platform more secure?
It gives you more control, but it is not automatically more secure. You become responsible for the server, updates, keys and backups.
Can self-hosted agents use cloud AI models?
Yes. Many platforms can call a cloud model. In that case, what the agent reads is sent to that provider under its terms.
Do I need a GPU?
Not if you use a cloud model. A local model needs hardware suited to that model.
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