I built Tecton out of a desire for a cleaner, native workflow with autonomous models. It serves as a local-first workspace for AI agents, blending private execution with high-craft interface design.
Local-first design eliminates latency and external cloud dependencies. By giving agents low-friction access to system tools, diffing engines, and shell sessions, the workspace turns complex multi-agent workflows into a calm, focused desktop experience.
Every agent can run on a dedicated provider tailored to its specific task, with full control over context windows, token budgets, and local privacy boundaries.
Seamlessly link with services like Notion, Slack, Gmail, and GitHub allowing agents to search knowledge bases, triage communications, and trigger authenticated actions across your entire workflow without leaving the desktop.
Grant KING permissions to track cycle velocity, auto triage backlog items, and update issue states on linear.app.
Tecton’s Dynamic Notch tracks an agent run in real time from idle and thinking through tools, approvals, success, failures, stops, quota and how those states drive the notch UI and avatar motion.
Tool names are parsed into human labels (git, shell, file reads/writes, and so on) so the notch stays readable to users without exposing raw internals.