Brainbase

Brainbase runs your agents on its infrastructure, with 20 concurrent sandboxes on the free plan and 200 on Teams. You skip the job queue, the container setup, and the retry logic. Each run happens in isolation, so a bad tool call doesn't leak into the next task.

You aren't locked to one vendor. Point an agent at a hosted model, bring your own keys, or run it through a harness like Claude Code. Swapping the model is a config change rather than a rewrite, which matters when a cheaper model becomes good enough for a task.

AI agent evals are the core of the product. You write criteria, the platform scores runs against them, and scheduled evals re-run stored tasks on every change. Support covers unit and regression testing, code evals, LLM-as-judge, custom benchmarks, and agent-as-judge on higher plans. The practical effect: you find out a prompt tweak broke refund handling before your customers do.

Agents can hand work to each other toward a shared goal, with shared tools and memory. A triage agent can route a contract question to a specialist agent and return one answer to the user. Orchestration is a Teams feature, so the free tier is single agent work only.

Agent observability here means every run is recorded with its steps, tool calls, inputs, and outputs. Free accounts keep traces for 7 days, Teams for 30, and enterprise customers set their own retention. Traces are how you answer "why did it do that" without reading logs by hand.

Agents reach 3,000+ integrations, MCP servers, and your own functions. They can also be triggered from Slack, chat, Zoom meetings, or phone calls, and scheduled workflows run on a timer. Webhook triggers are listed as coming soon, so event driven setups still need a workaround.