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Trusted by engineering teams at

Anthropic
OpenAI
Vercel
Notion
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GitHub
Capabilities

Infrastructure that understands agents

Purpose-built primitives for deploying, scaling, and observing autonomous systems.

47ms cold starts

Agents wake instantly. No warm pools needed. Your containers are ready before the request completes.

Global edge network

30+ regions. Automatic routing to the nearest point of presence.

Isolated sandboxes

gVisor-backed isolation for every agent.

GPU

On-demand GPU acceleration

Access H100s and A100s when your agent needs compute. Scale back to zero when idle.

Real-time observability

Traces, logs, and metrics purpose-built for agent workflows.

Git-native deployments

Push to deploy. Preview environments for every branch.

Auto-scaling swarms

Orchestrate thousands of agents with built-in coordination primitives.

How it works

From code to production in minutes

01

Define your agent

Write your agent logic in Python or TypeScript. Use our SDK or bring your own framework.

02

Push to Git

Connect your repository. Every push triggers an automatic build and deployment.

03

Scale infinitely

Your agent goes live instantly. We handle scaling, monitoring, and global distribution.

agent.config.ts
// Define your agent
export default defineAgent({
  name: "",
  runtime: "",
  memory: "",
  scaling: {
    min: ,
    max: ,
  },
  tools: ,
})
Get started

Deploy in under 60 seconds

Define your agent, push to git, and watch it go live. No YAML, no Kubernetes, no complexity.

1,000 free compute hours
No credit card required
Deploy from GitHub in one click
Testimonials

Loved by builders worldwide

We migrated 47 agents from our custom Kubernetes setup to Anchor in a weekend. Cold starts went from 8 seconds to under 50ms.

SC
Sarah Chen
Platform Lead, Nexus AI

The observability alone is worth it. We finally understand what our agents are actually doing in production.

MW
Marcus Webb
CTO, Automate.io

Anchor lets us focus on agent logic instead of infrastructure. Our deployment time went from hours to seconds.

PS
Priya Sharma
Engineering Manager, DataFlow

Finally, infrastructure that actually understands what agents need. The auto-scaling is magic.

JL
James Liu
Founder, AgentStack

We went from managing 12 different services to one Anchor config file. Incredible developer experience.

ER
Elena Rodriguez
Staff Engineer, ScaleAI

We migrated 47 agents from our custom Kubernetes setup to Anchor in a weekend. Cold starts went from 8 seconds to under 50ms.

SC
Sarah Chen
Platform Lead, Nexus AI

The observability alone is worth it. We finally understand what our agents are actually doing in production.

MW
Marcus Webb
CTO, Automate.io

Anchor lets us focus on agent logic instead of infrastructure. Our deployment time went from hours to seconds.

PS
Priya Sharma
Engineering Manager, DataFlow

Finally, infrastructure that actually understands what agents need. The auto-scaling is magic.

JL
James Liu
Founder, AgentStack

We went from managing 12 different services to one Anchor config file. Incredible developer experience.

ER
Elena Rodriguez
Staff Engineer, ScaleAI

Our agents handle 10x more requests with Anchor's intelligent caching. Performance is unreal.

DP
David Park
VP Engineering, Synth Labs

The git-native workflow means our whole team can ship agent updates without touching infrastructure.

AP
Aisha Patel
Tech Lead, Cortex

Anchor's GPU acceleration cut our inference costs by 60%. The ROI was immediate.

MT
Michael Torres
ML Platform Lead, DeepMind Labs

Security and compliance baked in from day one. Our enterprise clients love it.

RK
Rachel Kim
Security Lead, TrustAI

From prototype to production in minutes, not months. Anchor changed how we build.

TA
Tom Anderson
CEO, BuildFast

Our agents handle 10x more requests with Anchor's intelligent caching. Performance is unreal.

DP
David Park
VP Engineering, Synth Labs

The git-native workflow means our whole team can ship agent updates without touching infrastructure.

AP
Aisha Patel
Tech Lead, Cortex

Anchor's GPU acceleration cut our inference costs by 60%. The ROI was immediate.

MT
Michael Torres
ML Platform Lead, DeepMind Labs

Security and compliance baked in from day one. Our enterprise clients love it.

RK
Rachel Kim
Security Lead, TrustAI

From prototype to production in minutes, not months. Anchor changed how we build.

TA
Tom Anderson
CEO, BuildFast
Comparison

Why teams choose Anchor

FeatureAnchorKubernetesLambda
Sub-100ms cold starts
GPU acceleration
Zero config deployment
Built-in observability
Auto-scaling to zero
Agent-native primitives
Multi-agent orchestration
Global edge deployment
Pricing

Simple, transparent pricing

Start free, scale as you grow. No hidden fees, no surprises.

Starter

Freeforever

Perfect for side projects and experimentation

  • 1,000 compute hours/month
  • 3 concurrent agents
  • Community support
  • Basic observability
  • Shared infrastructure
Most popular

Pro

$49/month

For teams shipping production agents

  • 10,000 compute hours/month
  • 25 concurrent agents
  • Priority support
  • Advanced tracing & logs
  • Dedicated resources
  • Custom domains
  • Team collaboration

Enterprise

Custom

For organizations with advanced needs

  • Unlimited compute
  • Unlimited agents
  • 24/7 dedicated support
  • SLA guarantee
  • Private infrastructure
  • SOC 2 compliance
  • Custom integrations
  • Dedicated account manager
FAQ

Frequently asked questions

You pay for compute hours used. The free tier includes 1,000 hours/month. Pro starts at $49/month with 10,000 hours included. Additional usage is billed at $0.005/hour. We only charge when your agents are actively running.

We support Python 3.9+ and Node.js 18+ natively. You can use any framework - LangChain, AutoGPT, CrewAI, or your own custom agents. Our SDK provides optional helpers but isn't required.

Each agent runs in an isolated gVisor sandbox with its own network namespace. We never share compute resources between customers. Enterprise plans include dedicated infrastructure and SOC 2 compliance.

Yes. Connect any LLM provider - OpenAI, Anthropic, Cohere, or self-hosted models. We don't intercept or log your API calls. Your model keys stay encrypted and never leave your environment.

GPU-accelerated instances (H100, A100) are available on-demand. Your agent can request GPU resources programmatically when needed and automatically release them when done. You only pay for active GPU time.

Pro plans include 99.9% uptime SLA. Enterprise plans include 99.99% SLA with guaranteed response times and a dedicated support channel. We publish real-time status at status.anchor.run.

1,000 free compute hours

Ready to deploy your first agent?

Join thousands of developers building the next generation of autonomous systems.

No credit card required · Deploy in under 60 seconds · Cancel anytime