Deploy observe and evaluate agents with managed tools and execution environments
Brainbase Labs provides infrastructure for deploying and operating AI agents across tools, models and execution environments. It combines managed agent access with orchestration, traces and evaluation. The intended user is a developer or team that wants to move beyond a local prototype while retaining control over the instructions, tools and tests that define the agent's work.
The platform describes a registry of agents and skills, managed authentication, versioned configuration and command-line deployment. Tasks can be initiated through APIs, schedules or events, with integrations that connect agents to existing work systems. Shared context and handoffs support workflows involving more than one agent. Each connection should still be scoped to the permissions required for the task, particularly when an agent can change records or send messages.
Brainbase advertises multiple execution options, including sandbox providers and customer-controlled infrastructure arrangements. Traces expose what happened during a run, while evaluation workflows can apply code-based checks or model-assisted judgments. These are useful for investigating failures and comparing versions, but an evaluation is only as meaningful as its criteria and test data. A team should include unsuccessful paths and permission boundaries rather than score only whether an answer sounds polished.
The Individuals plan has no base subscription and includes introductory usage credit. Teams adds a monthly commitment, included usage and higher operational limits, while Enterprise covers custom requirements. Retention, concurrency and deployment controls differ by plan, so an organization should confirm the specific limits needed for its workload. The public pricing page should not be read as making all enterprise controls available to every free account. A sensible first project connects one agent to a small set of approved tools, records representative runs and uses explicit acceptance tests before enabling broader actions. That produces concrete evidence about reliability and cost. Managed infrastructure can reduce setup work, but it does not remove the need to review agent permissions, outputs and changes before relying on them in a business process.
