Version Control and Collaboration Capabilities

Version control and collaboration that keep production work visible and coordinated.

Explore the system from the revision model outward: workspace state, change submission, large-file delivery, governance, integrations, and automation for AI agents.

Version Control for Code and Digital AssetsKimura’s core: revisions and file operations.

Keep authoritative history of source code, digital assets, and large binary files across repositories. Sync to the latest revision or retrieve a specific one, track file operations such as add, edit, delete, move, rename, and lock, and review pending work against newer revisions before applying it. Locks and visibility into active file operations help teams coordinate changes to binary assets that are difficult to merge.

Workspace VisibilitySee local state, team activity, and divergence before you update or submit.

See local and team activity in one workspace tree. Sync workspaces and get files from the latest revisions, then quickly find files that might need attention: files that are modified in the workspace, missing from the workspace, missing from the repository, or not at the latest revision.

Change ManagementTurn related edits into reviewable, intentional submissions.

Group related edits in named change lists for review, combine work from several repositories in one change list, or work with independent change lists in parallel. Save change-list revisions as local checkpoints before you are ready to submit, resolve pending edits against newer revisions, and apply the reviewed result. Active-operation and lock visibility helps you spot conflicts early.

Stash And HandoffPause, move, and share work without rewriting submitted history.

Create local stashes as personal save points when switching tasks, use server stashes to hand work to another workspace, and share in-progress stashes with owner and viewer controls. Use stashes in CI/CD without losing pending work or context.

Repository MappingCompose each workspace from one or more repositories, with the paths and branches the project needs.

Map a workspace to the repositories and branches it needs, route history, sync, file checks, and submit to the right target, and apply server-side maps so the team shares one structure. Build workspaces from repositories with clear purposes and paths.

Control And GovernanceApply least-privilege access and protect contested files.

Set user and group permissions at repository, folder, or file level to control access and help prevent unwanted submission errors. Use locks and visibility into active file operations for busy files.

File Transfer That ScalesKeep workflow state on Kimura Server while file servers scale delivery of large files.

Kimura Server can run separately from the file servers that store and deliver large files. Add file servers as projects grow to increase transfer capacity and redundancy, while Kimura Server keeps history, permissions, and workflow state consistent.

Secure Access and IdentityProtect connections, authenticate users, and control file-server access.

Use TLS with server-certificate checks and optional client certificates, connect through OIDC/SSO with your identity provider, and route file-server access through Kimura server.

Tooling EcosystemUse the surface that matches the job: operations, automation, administration, or engine work.

Use the same Visual Client and Visual Server applications for daily work and administration on macOS, Linux, and Windows. Use KSCM CLI for CI/CD and MCP automation, or connect an Unreal project to Kimura directly in the Unreal editor through the Unreal Engine plugin.

AI Agent WorkflowsGive AI assistants persistent workspace context and controlled ways to act.

KSCM MCP keeps a workspace loaded between tool calls, while the CLI supports automation and coding agents. AI agents can inspect state, sync files, and use change lists or stashes, with Kimura signaling showing ownership, locks, active operations, and current state. Permissions, history, and attachments on change lists or stashes keep AI-agent work reviewable and controlled.

Need a deeper technical walkthrough?

Use the documentation for version control, collaboration, implementation details, operational workflows, and setup guidance. Documentation.