Why KB Labs instead of X?

GitHub Actions and GitLab CI are good at deploying code — that's what they were built for. But your workflows run on their infrastructure. Your secrets, your logs, your artifacts, your timing data — all of it passes through someone else's machines.

KB Labs runs where you decide: on your server, in your VPC, on your laptop. Nothing leaves unless you choose. For teams who care about data residency, compliance, or simply don't want a third party in the loop — that's the difference.

Logic lives in a GUI, not in your repo. There's no type safety, no code review process, no way to test before it runs in production. When something breaks, it often breaks silently.

KB Labs treats automation as code: typed plugins, version-controlled workflows, approval gates before anything runs. You can review it, test it, and reason about it — the same way you reason about the rest of your stack.

If you're orchestrating microservices at scale, managing complex distributed state, or running data pipelines — Temporal and Prefect are serious tools built for that. Use them.

KB Labs is for development teams who want to automate their work: code reviews, releases, quality checks, AI-assisted workflows. No distributed systems expertise required, no infrastructure to operate.

Most AI agent setups end up as brittle glue code — no isolation, no audit trail, no consistent way to connect your real tools. Every new capability means another custom integration.

KB Labs gives agents the same typed plugin system that human workflows use — with permissions, observability, and direct access to your codebase, docs, and internal tools. No glue code. MCP support on the roadmap.