zer07 Labs · In stealth · Building in the open

Enterprise agents
will be fast,
autonomous,
and secure.

Not eventually. Now. The models are ready. What's missing is the infrastructure layer that makes agent decisions trustworthy at scale — coordinated, traceable, and provably correct. That's what we're building.

The problem

The models are
capable. The
infrastructure
isn't ready.

The gap
Agent reasoning is solved. Agent operations aren't.

Every enterprise already has capable models. The hard part isn't making agents smart — it's deploying them into environments where decisions have consequences and someone needs to prove what happened six months later. The frameworks handle reasoning. Nobody handles the rest.

The future
Autonomous enterprise operations, trustworthy by construction.

Loan origination, clinical documentation, trade surveillance, fraud detection — these workflows are ready to be autonomous. What they need is infrastructure that makes every agent decision coordinated, verifiable, auditable, and continuously improving. Not bolted on. Built in.

The approach
Open protocols. Commercial runtime. Compounding intelligence.

Open protocol standards the ecosystem can implement. A production runtime built on them. A learning system that makes that runtime compound in value over time. Each layer designed to benefit the ecosystem — not lock it in.

How we build

Layer by layer.

Open at the foundation. Commercial where reliability matters. Intelligence that compounds over time. Each layer makes the one above it stronger.

01
Protocol layer
Open source · Apache 2.0
The coordination, context, and identity standards that make agent interoperability possible. Open-sourced under Apache 2.0. Anyone can implement them. The ecosystem benefits whether they use our runtime or not.
02
Runtime — Seam
Commercial · Seam
How it works →
Production implementation of the protocols with enterprise reliability — coordinated decisions, structured context, identity verification, and append-only audit. Plugs into existing agent frameworks. Doesn't replace them.
03
Learning — Seam Learning
Integrated into Seam
Full architecture →
A closed learning loop that connects session outcomes back to coordination decisions — improving routing, context calibration, and policy selection continuously. The runtime that gets smarter with every decision it runs.
Layer 01 · Open protocols

Standards the ecosystem
can build on.

Agent interoperability requires open standards — the same way the web needed HTTP and email needed SMTP. We designed three protocols that define how agents coordinate decisions, carry context across boundaries, and verify identity with each other.

All three are open-sourced under Apache 2.0. External implementations already exist. Anyone can use them, build on them, or contribute to them without engaging with us commercially.

Seam is our production implementation — with enterprise reliability, compliance guarantees, and support. But the protocols belong to the ecosystem.

MACP
Multi-Agent Coordination Protocol
How agents open decision sessions, propose, vote, and commit to outcomes
GitHub →
CTXP
Context Transfer Protocol
Typed, content-addressed, budget-aware context carried across agent boundaries
GitHub →
AITP
Agent Identity & Trust Protocol
Challenge-response identity handshake with first-class trust level output
GitHub →
Apache 2.0 · Free to use, implement, and extend · No engagement with zer07 Labs required
Layer 02 · Runtime

Seam

The production implementation of the open protocols. Seam handles coordination, context, identity, and audit at the boundary of every agent interaction — with enterprise reliability and compliance infrastructure built in.

It plugs into your existing agent frameworks. It doesn't replace them.

CoordinationMACP
ContextCTXP
IdentityAITP
🔒Audithash-chained
How Seam works → Use cases
Layer 03 · Learning

Seam Learning

A closed feedback loop built into the runtime. Every session outcome feeds back into coordination decisions — policy selection improves, context resolution gets better-calibrated, routing self-tunes. No retraining. No configuration. After every outcome.

The more decisions Seam runs, the better it gets — in your environment, specific to your workflows. Infrastructure that compounds.

Policy selection improves with every outcome
Seam learns which coordination approach works best for each decision type in your environment — automatically.
Novel situations handled, not stalled
When Seam encounters a new decision type, it reasons from context rather than defaulting to random selection.
New customers start ahead, not from zero
Opted-in customers share anonymised learning. New customers in the same vertical inherit that knowledge from day one.
Full architecture →
In stealth · Launching soon

Quietly building
what comes next.

Seam is the first thing we're releasing. It's not the only thing we're building. The ecosystem 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. But here's the shape of it.

The protocols are open. The runtime is in motion. What comes next is about the network — the kind that makes every participant in enterprise agent infrastructure better. If you're building in this space, the door is open.