Release notes and writing from the Glove project — what shipped, why it exists, and what it is actually for. For the change-by-change record, see the changelog.
glove-classifier brings System One models like TypeSafe's Jev to agents, REPLs, working environments, browsers and Foundry. Measured on a labelled inbox: 85% less agent context, higher accuracy, and customer data kept out of the agent.
How glove-execution extends the Glove family through capability mounts, and how Foundry hosts jobs and resource adapters on one Station.
Goals, forms, and shared facts help conversational agents keep their objectives while people interrupt, answer early, and change their minds.
How reusable context providers inject current application state before each model iteration, and why moving memory out of system prompts matters for caching.
Use glove-video for reusable creative direction, resumable shot flows, actual-video review, and gated delivery.
Introducing Glove Foundry: a file-routed, Effect-native application framework where agent systems are assembled from definitions and live instance data—and the work can be imagined at runtime.
Building video rendering for agents — plus a fourth way to expose a capability, a verb for handing work over, and directories an agent may read but never edit. Six bugs that reported success, and what each one changed about the design.
Start with a loop that calls a function, then add one piece at a time — only when something breaks. Every primitive in the framework, in the order it earns its place.
A collection primitive for conversations — the decisions behind it, and the five defects a fifty-cent agentic eval found that reading the code had not.
Five examples, three avatar providers, and a run of bugs that every test suite passed through. Notes on the decisions that held and the ones the wire corrected.
What it takes to shoot the same model, carrying the same bag, in five places — and why agentic image generation is a workflow problem rather than a tool problem.
Realtime voice and avatars, agentic image generation, a working environment that can look at what it made, and memory that knows what to withhold.