AI agent infrastructure platform for enterprise business automation
Brainbase Labs is a San Francisco startup building cloud infrastructure for running AI agents, centered on a universal agent protocol and a managed agents API. Its stack pairs LangChain, LangGraph, OpenAI API and Hugging Face with Kafka and Docker across AWS, Azure and GCP, a multi-cloud footprint unusually broad for a team this small. Hiring tilts toward senior engineering plus a Chief of Staff, though overall velocity is slowing.
Notable leadership hires: Chief of Staff
Brainbase Labs, founded in 2023 and headquartered in San Francisco, develops an AI agent platform aimed at automating business workflows for enterprises. The product work includes the Brainbase platform, a universal managed agents API and a proprietary agent system supporting multiple harnesses and models. The company is privately held with 2–10 employees and hires in the United States. Its engineering is built on TypeScript, Python, Node.js, React and Next.js, with Prisma and Drizzle for data access, while go-to-market runs on Salesforce, HubSpot and ZoomInfo.
Brainbase Labs uses TypeScript, Python, Node.js, Next.js and React, with LangChain, LangGraph, OpenAI API and Hugging Face for AI, plus Kafka, Docker, AWS, Azure and GCP for infrastructure.
Current projects include a universal agent protocol, a universal managed agents API, the core Brainbase platform, improvements to its proprietary agent system, and support for additional harnesses and models.
Yes. Engineering is the main hiring focus, weighted toward senior roles, alongside executive positions such as Chief of Staff and a marketing hire, all based in the United States. Overall hiring pace is slowing.
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Brainbase Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.