Auggyv0.5.0

Auggy Changelog

Latest published runtime and CLI updates.

AgentMail runtime

Auggy 0.5.0 adds durable AgentMail polling, reconnecting WebSocket, and Svix webhook inbound; checkpointed SQLite catch-up; sender and classification admission; outbound human review; ambiguous-send reconciliation; and fail-closed Railway state admission.

v0.5.0

Runtime public preview: a focused turn kernel, composable augments, typed tools, project-local skills, Console, stable memory and integration augments, and Railway deployment. Optional routes, generated clients, and delegated application authorization remain advanced preview surfaces.

v0.4.4

Bundled Link skill teaching, peer directory registry support, filesystem-as-truth storage layout, auto-mounted skills, layeredMemory opt-in configuration, and create-flow cleanup.

v0.4.3

Added Ollama remote support and bearer auth in the create flow.

v0.4.2

Added Ollama to the create-flow model provider picker.

v0.4.1

Hotfixed an npm boot crash and split @auggy/evals.

v0.4.0

Added the GET/HEAD info endpoint, native Ollama adapter, first-party admin module, per-augment adminInfo and admin actions, provider package split, per-agent installs, and release hardening.

v0.3.1

First CI-driven feature release with Railway deploy CLI, npm publish workflow, layered-memory integration evals, robust JSON extraction, and codified release process.

v0.3.0

Name-claim publish backfill over a large feature span: skills augment separation, link augment, visitorAuth hardening, notify and Telegram work, AG-UI chat GUI, turnControl, agent registry, and security eval gates.

v0.2.0

Completed the visitor economics slice: creator/agent/public trust model, turn-gate budget contract, budgets augment, layeredMemory, visitor tokens, cost and pricing traces, and trust-aware capability gating.

v0.1.1

Polished aug1 create with interactive engine and model selection, a welcome banner, clearer engine/augment language, and selected-provider .env examples.

v0.1.0

First working runtime: kernel, CLI, six augments, three model engines, AG-UI SSE chat, YAML config, memory, URL fetch, org knowledge, and operator escalation.