Govern AI across your whole organization.
When AI agents write a growing share of your code, the hard questions become organizational: what may each agent touch, who changed which contract and why, and how does context flow across teams without leaking. KinLab Enterprise answers them on a semantic graph, with the identity, audit, and access controls an organization needs.
One semantic substrate for the whole org
The unit of an organization is no longer a single repository. It is the web of code, ownership, and dependencies across every team. KinLab makes that web a graph, and gives every human and agent the same standing memory of it.
A shared organizational graph
Every repository becomes a semantic graph of entities and relationships. The vision is to connect them into one org-wide substrate, so context, ownership, and impact are organizational facts. Not knowledge trapped in one team.
Persistent memory for every agent
Agents read structural context from a standing graph through an MCP-native interface, instead of re-reading files and rebuilding context every session. Memory becomes a shared asset across your tools and teams, not a per-chat scratchpad.
Govern the agents, audit every change
Fleets of coding agents are a security and accountability problem, not just a productivity one. Because KinLab governs at the level of the code graph, you can scope what agents touch, coordinate their concurrent work, and keep per-entity provenance for review and audit.
Agent governance
Give AI agents safe, scoped access to the code graph. Track intents, coordinate concurrent work through sessions and leases, and keep an auditable record of what every agent did.
Access control at the code
Govern who and which agents may read or change which parts of the graph: policy that reasons about entities and contracts, not just branch names and repo permissions.
Provenance per entity
For every function, type, and contract: who or which agent changed it, under what intent, and why. Provenance is a property of the graph, traceable for review and audit.
Identity, audit, and control for the enterprise tier
The controls a security and platform team expects. Available with the hosted KinLab Enterprise plan as we onboard early customers.
SSO / SAML
Single sign-on and SAML for centralized identity and provisioning across your organization.
Audit logs
An exportable record of human and agent activity across the org graph: who did what, when, and to which entity.
Data residency
Controls over where your code graph and metadata live, to meet regional and regulatory requirements.
SLA and support
A support relationship and service-level commitments scoped to your deployment, with a direct line to the team building Kin.
Enterprise on an open foundation
KinLab Enterprise is the hosted control plane on top of the open-source, Apache-2.0 Kin substrate. Your teams can adopt the open tooling (the semantic VCS, the transparent VFS, and the MCP server) with no lock-in, and your organization scales onto the governed, hosted platform when it is ready. The foundation is inspectable; the enterprise layer is the part you buy.
Where this stands today
Be clear-eyed about the maturity here. KinLab is pre-release. The semantic graph, impact-based review, agent coordination, per-entity provenance, the transparent VFS, and the MCP server are real and dogfooded. We build Kin with Kin. The enterprise controls described above (SSO/SAML, audit logs, data residency, SLA and support, and the cross-repo org graph) roll out with the hosted control plane and are available through early access as we onboard the first organizations.
We make no claim of completed third-party security certifications and name no customers. If a control matters to your evaluation, tell us where it stands for you and we will be precise about where it stands for us.
Pre-release · early access by request
Bring AI-native governance to your organization.
KinLab Enterprise is the hosted control plane on the open-core Kin substrate. Request early access, or reach the team directly to talk through your organization's needs.
Review trust and security, how agent governance works, or see pricing.