A small founding team building the infrastructure layer for the agentic enterprise — open at the foundation, commercial where reliability matters, and learning continuously from every decision the runtime runs.
At zer07 Labs, we’re building the operational layer that makes enterprise agent decisions trustworthy at scale. We’re passionate open-source technologists, dedicated to protocol design, distributed systems, and the unglamorous infrastructure that makes ambitious software possible.
The agent era doesn’t just need capable models. It needs primitives the whole ecosystem can build on — the same way the web needed HTTP, email needed SMTP, and payments needed ISO 20022. Coordination, context, and identity are those primitives for agents. We’re writing them in the open.
Our work is open, our standards are public, and we ship in service of a future where autonomous enterprise operations are the default — not the experiment. Join us in shaping the infrastructure layer for what comes next.
Concrete work, shipping in parallel. The protocols are open and live on GitHub. The runtime is in private deployment with our first design partners. The learning loop is closing every session.
Three protocols that define how agents coordinate, carry context, and verify identity with each other. Apache 2.0, on GitHub, with external implementations already in flight. The ecosystem benefits whether teams use our runtime or not.
Our commercial implementation of the protocols, with enterprise reliability and compliance built in. Plugs into existing agent frameworks. Currently running real workflows with a small set of design partners in regulated industries. How Seam works →
A continuous learning loop that connects session outcomes back to the runtime’s coordination decisions — improving routing, context calibration, and policy selection after every outcome. Full architecture →
Seam is the first thing we’re releasing, not the only thing we’re building. The next layer — the part that makes every participant in enterprise agent infrastructure better — is taking shape. We’re not ready to talk about it in full yet.
We’re a small team working on something that matters. We’re always ready to listen — whether you’re an enterprise team thinking about putting agents into production, an investor curious about the infrastructure layer for the agent era, an engineer who wants to compare notes on hard distributed-systems problems, or someone who’s been burned by an agent in production and has opinions.
The door is genuinely open. We read every message and answer the ones that aren’t bots.