The runtime for AI agents.
Infrail runs agent processes in isolation, calls their tools reliably, stores their memory, and records every step. One runtime instead of a stack you assemble and maintain yourself.
Product
Four primitives, one runtime.
Agents need somewhere to run, a safe way to call tools, somewhere to keep state, and a record of what happened. Infrail provides those four things and nothing you did not ask for.
Runtime
Isolated execution for agent processes, scheduled and scaled per run.
Tools
Managed tool invocation with retries, timeouts, and structured error handling.
Memory
Durable, queryable memory backed by vector and relational storage.
Workflows
Resumable orchestration for multi-step tasks. Currently in development.
Architecture
How a request moves through Infrail.
Features
What the runtime handles for you.
Isolation by default
Every run executes in its own sandbox with per-tenant policies and scoped credentials.
Reliable tool calls
Timeouts, retries, and typed errors are handled by the runtime, not your agent code.
Model agnostic
OpenAI, Anthropic, Google, or self-hosted models behind one interface.
Step-level traces
Structured traces, token accounting, and logs for every step of every run.
Durable memory
Vector and relational memory that outlives a single run and stays queryable.
Resumable workflows
Long-running tasks that survive restarts. In development, available to early customers.
SDK
Define an agent in one file.
The SDK is small and unopinionated. Declare the agent, register its tools, deploy with the CLI. Runtime, memory, and tracing are wired in automatically.
import { defineAgent, tool } from "@infrail/sdk";
import { z } from "zod";
export default defineAgent({
name: "support-agent",
model: "anthropic/claude-sonnet",
memory: { store: "postgres" },
tools: [
tool({
name: "lookup_order",
input: z.object({ id: z.string() }),
run: async ({ id }) => db.orders.find(id),
}),
],
async handle({ input, run }) {
return run(`Resolve customer request: ${input}`);
},
});Why Infrail
Why teams choose to build on us.
One system to operate
Queues, sandboxes, vector stores, and tracing replaced by a single runtime with one mental model.
Built by infrastructure engineers
Typed SDK, first-class CLI, git-based deploys, and full API coverage. No UI-only workflows.
Honest about maturity
We are early. Working features are documented, unfinished ones are labelled, and we say no when something is not ready.
Pricing without games
A direct quote for your workload. No per-seat fees, no per-token markup, no forced annual commitment.
Read the documentation, or just talk to us.
Guides, API reference, and operational notes. If something is missing, email us and an engineer will answer.