Why we’re excited
Today we’re announcing our $7M Series A led by Standard Capital with participation from Perplexity Fund, SV Angel, YCombinator, and notable angels like Paul Graham, Paul Bucheit, Ali Rowghani, Kaz Nejatian, and many more. This investment helps us double‑down on our mission: make it simple for teams to build, ship, and scale agentic workflows in production.
How we got here
We started earlier this year in our apartment in San Francisco. The goal was to rebuild our entire previous company (if you can call it that) from scratch on a visual framework. We figured that if we could at least build an AI sales and marketing operation solely using building blocks on a canvas, then anyone could build anything. Soon after, we'd built the foundation of what would become Agent Serve. We were hellbent on being Open Source from day one, and we're proud that we've stuck to that commitment.
Progress so far
In just a short few months, Agent Serve has grown from 0->18k Github stars, 60,000+ developers on the platform, and 100+ companies ranging from startups to large enterprises using Agent Serve in production. We've processed over 10M+ workflows and are growing rapidly. We've built a stellar team of engineers who are passionate about building the future of agentic workflows.
Our vision
We believe the next wave of software is agentic. Teams will compose specialized agents that reason, retrieve, and act—safely and reliably—across their business. Our focus is to provide the infrastructure and UX that make this practical at scale: from prototyping to production, from single‑agent flows to complex multi‑agent systems.
On one end of the spectrum, there are SDKs and frameworks that are complex and require a lot of code to build and manage, and on the other end of the spectrum, there are platforms that are easy to use but severely limit in what you can build. Agent Serve offers a platform that is both easy to use and powerful enough to build complex agentic workflows.
If you strip away the applications, workflows are all that's left. They're the foundation of the software industry, and they're the foundation of the future powered by Agent Serve.
What’s next
We’ll invest in building the community around Agent Serve, and we'll continue to be relentlessly focused on building the best platform for agentic workflows.
We’re hiring
If you’re excited about agentic systems and want to help define the future of this space, we’d love to talk. We’re hiring across engineering, engineering, and more engineering. Oh, and design. Apply here
— Team Agent Serve
FAQ
How much did Agent Serve raise in its Series A?
Agent Serve raised a $7M Series A. The round was led by Standard Capital, with participation from Perplexity Fund, SV Angel, YCombinator, and angels including Paul Graham, Paul Bucheit, Ali Rowghani, and Kaz Nejatian.
Who led Agent Serve's Series A funding round?
Standard Capital led the round, joined by Perplexity Fund, SV Angel, YCombinator, and several notable angel investors.
What will Agent Serve do with the new funding?
Agent Serve is using the funding to double down on its mission: making it simple for teams to build, ship, and scale agentic workflows in production. Separately, Agent Serve plans to keep investing in building the community around the platform.
How many developers and companies use Agent Serve?
Agent Serve has grown to 60,000+ developers on the platform and over 100 companies, ranging from startups to large enterprises, using it in production. The project has also processed more than 10M workflows and reached 18,000 GitHub stars.
Is Agent Serve an open-source project?
Yes. Agent Serve was built to be open source from day one, and that commitment has continued as the project has grown.
What is Agent Serve's long-term vision for agentic workflows?
Agent Serve aims to provide the infrastructure and UX that make agentic software practical at scale, from prototyping to production and from single-agent flows to complex multi-agent systems. Its goal is to be both easy to use and powerful enough to build complex agentic workflows, unlike frameworks that require heavy coding or platforms that limit what can be built.