Vercel

Vercel shipped FUSE-based Sandbox mounts for S3 and network filesystems and opened Agent Runs through MCP and CLI. Use it to connect remote state, sandbox execution, and agent-readable Eve traces for self-improving workflows.

Vercel added Dockerfile-based Functions, a Services model for multi-framework apps in one project, and a VCR registry for container images at Ship NYC. The release lets teams deploy OCI images and collocated services with atomic rollbacks, private networking, and active-CPU billing, so Docker-based apps can move without single-runtime constraints.

Vercel raised the maximum package size for Functions on Fluid compute from 250 MB to 5 GB, a 20x increase. The change removes a common deployment blocker for browser automation, larger Python AI stacks, image processing, and heavier backend workloads.

Vercel shipped realtime speech and transcription support in AI Gateway and AI SDK 7, then added Grok voice models through the same interface. The update puts voice agents on the same gateway, WebSocket, and AI SDK stack Vercel already uses for text models.

Sakana made Fugu Ultra available through Vercel AI Gateway, while new technical writeups described the trained routing head and multi-step orchestration behind it. The integration matters because teams can invoke Fugu’s model-selection workflow through existing gateway plumbing instead of standing up custom routing.

Vercel and Wafer launched a serverless GLM-5.2 endpoint on AI Gateway with 1M context and published pricing. Teams get a high-throughput open-model option inside an existing gateway instead of managing GLM inference directly.

Vercel rolled out native WebSocket support so Node.js libraries like Socket.IO can run from CDN to Fluid. Existing sessions still reconnect at the 30-minute function limit, so teams should test long-lived connections before migrating.

Claude Design now deploys directly to Vercel with one click. The integration turns design output into a live previewable app without leaving the design flow, extending Claude Design beyond imports and code sync.

Vercel introduced eve in public preview with durable workflows, sandboxed compute, subagents, and evals. It also added Connect and Passport for scoped tokens and identity-gated deployments, giving teams one path for runtime, auth, and enterprise access control.

Vercel opened a preview that lets Functions run for up to 30 minutes on its Fluid microVM compute platform. Use it for longer-running server tasks without moving to a separate runtime product.

Vercel launched Drop, a browser flow that turns a dragged file or folder into a production URL within seconds. Use it for static prototypes and HTML artifacts when you want deployment without repo setup or a separate CLI flow.

Vercel made the skills.sh API generally available, exposing more than 600,000 skills as a registry-style service for agents and platforms. The launch gives teams a discoverable capability layer for reuse across agent surfaces.

Conductor moved its parallel coding agents from local-only execution onto Vercel Sandboxes. That matters because teams can run isolated remote agent workspaces with near-local startup and feedback instead of depending on a developer laptop.

Vercel Sandbox can now build and run Docker containers, persist images and installs across sessions, and host databases or full apps inside the sandbox. That broadens what coding agents and preview environments can validate without leaving Vercel.

Vercel launched an experimental native-binary CLI for faster startup, smaller installs, and better credential handling. Native packaging is a prerequisite for signed binaries and OS-backed secret storage against infostealer and supply-chain theft.

Firecrawl is now available through Vercel Marketplace and Agent Marketplace for apps and agents that need live web data. The integration reduces setup friction for teams adding scraping, search, and structured retrieval to deployed AI workflows.

Anthropic added self-hosted sandboxes in public beta and MCP tunnels in research preview to Claude Managed Agents. Use the new options to keep agent execution inside your perimeter or private cloud and reach internal MCP servers without public exposure.

Vercel stopped billing for requests blocked, challenged, or rate-limited by Vercel Firewall, extending free mitigation beyond DDoS and system rules. Teams can tighten custom edge protections without paying for attack traffic they reject.

Stripe Projects added agent-friendly provisioning commands for OpenRouter, Daytona, Vercel, Render, and related tools. That lets agents buy model access, sandboxes, and hosting from the terminal instead of dashboard-driven setup.

Vercel said no npm packages were compromised in the OAuth-linked incident and updated its security bulletin with MFA and environment-variable auditing guidance. Treat credential deletion as separate from rotation and follow the bulletin to narrow supply-chain risk.

Vercel disclosed unauthorized access to internal systems affecting a limited subset of customers and said a compromised Google Workspace OAuth app at a third-party AI tool was the entry point. Some non-sensitive environment variables may have been exposed, so teams should review SaaS integrations and secret handling now.

OpenAI updated the Agents SDK with sandbox execution, memory controls and run snapshotting, and launch partners Vercel, Modal, E2B and Daytona shipped integrations. Long-running agents can now keep files, credentials and execution state in isolated runtimes instead of wiring harness, compute and storage layers together manually.

Open Agents open-sources a browser-based cloud coding platform that keeps sessions running in parallel after a laptop closes. Use the reference stack if you want sandboxed VMs, model routing, and durable execution for internal coding-agent systems.

Vercel said Sandbox is now the fastest microVM-based runtime, with fresh node -v cold starts now largely under 500 ms after a month of tuning. The update also puts persistent sandboxes into beta and expands plans for a programmable firewall, so teams should re-check runtime and security settings.

Vercel Emulate added a programmatic API for creating, resetting, and closing local GitHub, Vercel, and Google emulators inside automated tests. That makes deterministic integration tests easier to wire into CI and agent loops without manual setup.

Vercel Labs published a stateful service emulator for GitHub, Vercel, and Google integrations instead of relying on brittle mocks. It is useful when agents or CI need deterministic auth and third-party API flows in local or sandboxed runs.