AI SDK
Unified interface across models. Switch providers, stream responses, and call tools with a single API.
Give an AI coding agent a task and a repository. It works autonomously in an isolated cloud sandbox, then commits and pushes the result — no local setup required.
Build the auth flow with GitHub OAuth
Each agent gets a full sandbox environment with filesystem, network, and runtime access. Describe what to build and let the agent work autonomously until it's done.
Every session runs in its own isolated Workspace with a repository branch, filesystem, network and runtime access. Work is committed and pushed through Git, so your code stays safe even when a machine hibernates.
Agent loops run as durable workflows that survive restarts, retry on failure, and coordinate multi-step operations over time. No work is ever lost mid-run.
Built for real software work: multiple models and private Workspaces, and durable workflows for agents that ship code.
Unified interface across models. Switch providers, stream responses, and call tools with a single API.
Route requests across supported models with fallbacks, rate limiting, and usage observability.
A private machine for every session with filesystem, outbound network, and runtime access.
Durable, resumable agent workflows that survive restarts and coordinate multi-step operations.
What Entry Agents is, how sessions run, and what it costs. More on the pricing and model pages.
Entry Agents is a cloud platform for autonomous AI agents that can build software, investigate problems, create files, run commands, research the web, and work with or without a connected GitHub repository. Every session runs in a private Workspace with filesystem, outbound network and runtime access.
Each session provisions a private Workspace. Start from a blank workspace, attach a GitHub repository, or ask the agent to create something from scratch. The agent can explore files, run commands, build software, test it, and optionally commit or push the result through Git.
Entry Agents routes through Entry Gateway, supporting multiple AI models with per-token usage pricing. You can pick a default model and switch it per session.
No. Entry Agents runs entirely in the cloud. Sign in with Vercel, Google or GitHub and start from a blank Workspace, a connected repository, an uploaded file, or a plain-language idea.
Every session runs in a private Workspace that no other session can reach. Accounts connect through standard OAuth with encryption. If you connect a repository, the agent only receives the repository and access you authorize; blank Workspace work remains separate.
Usage is credit-based for model usage. Entry Agents does not charge a separate sandbox or Workspace fee. Subscriptions include bonus credits, and your balance is used for the model tokens consumed by your agent.