YAML-based agent definition
Define an agent in YAML with fields such as model, harness, skills, tools, and instructions, then push it to the cloud.
AI agent cloud to define, host, scale, and observe agents across models and harnesses.
Brainbase is an AI agent cloud for teams that want to build, host, scale, and operate agents across different models or harnesses without stitching together the surrounding infrastructure themselves. The site describes it as a Managed Agents platform that handles hosting, scaling, evaluations, orchestration, and deployment.
The product centers on a YAML-based workflow: define an agent, attach skills and tools, then push it to the cloud. From there, agents can be deployed through APIs or into surfaces such as Slack, chat, email, Teams, WhatsApp, and voice, which makes the platform suitable for both internal workflows and customer-facing agentic features.
Define an agent in YAML with fields such as model, harness, skills, tools, and instructions, then push it to the cloud.
Use a single Managed Agents API across models and harnesses, with endpoints for agents, orchestrations, tasks, and task events.
Publish and pull agents, skills, and tools by version so changes can be tracked and rolled back in a controlled way.
Connect tools through managed auth, with OAuth and secrets handled across providers and services.
Spin up isolated sandboxes on demand and scale from one sandbox to large fleets, with support for providers like Modal, Daytona, E2B, or your own cloud.
Inspect traces, tool calls, latency, cost, and quality in production, with search, alerts, and evaluation gates.
Stand up agents that handle support, operations, or sales work as internal teammates, with deployment into tools such as Slack or email.
Embed agentic behavior directly into a product, using Brainbase as the layer that hosts and runs the underlying agents.
Run repeatable, high-volume workflows that need evaluations, observability, and controlled rollouts rather than ad hoc prompting.
Coordinate multiple agents that hand off work, share tools and state, and move through a larger task pipeline.
Ship the same agent to different surfaces, from API endpoints to chat, messaging, and voice interfaces.
The source does not show a full setup checklist, but it presents Brainbase as a managed cloud for defining an agent in YAML, pushing it to the cloud, and then deploying it to surfaces such as Slack, chat, or APIs.
Brainbase is positioned for teams building internal AI employees, agentic product features, and high-frequency workflows. The site also shows orchestration for multi-agent systems and support for any model or harness.
The site says Brainbase provides a single Managed Agents API for any model or harness, a versioned registry for agents, skills and tools, managed auth, orchestration, sandbox scaling, and observability.
The site shows deployment options including API, web chat, Slack, iMessage, Teams, WhatsApp, email, and voice. It also says agents can be embedded into products or put in front of internal teams.
Traffic data is for reference only.
crusoe.ai
Crusoe provides AI cloud infrastructure, managed inference, and data-center capacity for teams training and serving AI workloads at scale.
fx.sh
fx is a tiny, open, native coding agent and CLI for working with code from the terminal. It is designed for research, embeddability, and use as part of larger systems, with support for local or cloud inference.
humain.ai
HUMAIN is a full-stack AI ecosystem spanning sovereign data centers, cloud, generative AI models, and applications.
cloud.infini-ai.com
AI computing optimization and infrastructure for deploying large models across chips
stepsai.co
AI agents for sales, support, and business actions across channels
theaiplatform.app
The AI Platform is a provider-agnostic AI superapp for teams that work with multi-agent and multi-human workflows. It combines specialist agents, model routing, shared workspaces, and mini app building for people and organizations using AI in day-to-day operations.