The local-first engineering layer for coding agents. Observe, remember, automate, and verify on macOS. - Atingaii/Vela

What real task does your product handle with GPT-6 Astra?

Velo uses GPT-6 Astra to turn real coding-agent activity into reusable engineering knowledge. For example, after a developer completes a task with Codex or Claude Code, Astra analyzes the agent session, repository context, decisions, failures, and successful fixes. It identifies durable knowledge worth retaining, extracts repeatable workflows, and suggests improvements for future agent runs. Velo can then use Astra to compare subsequent executions and determine whether a new memory, instruction, or workflow actually improved the result. The real task is turning fragmented AI coding sessions into a persistent, evidence-driven engineering system that helps developers avoid repeating work and continuously improve how their coding agents operate.

An agent session ends. Your engineering context should not. Vela is a local macOS workspace for supported Claude Code, Codex and Cursor session data. It brings conversation evidence, project memory, reviewable workflows and command comparisons into one place, alongside the agents you already use.

What real task does your product handle with GPT-6 Astra?