Archil pricing, free plan and limits

A durable shared disk for AI agents that sits on top of your object storage, with serverless sandboxes that bill per tool call and a free tier.

Best for
ML/AI infrastructure engineers
Not for
Solo developers with small local data sets who don't need S3-scale storage

Should you use Archil?

Archil gives AI agents a persistent shared disk on top of object storage, so teams stop writing S3 sync pipelines. Founded in 2024 by an ex-Amazon EFS and Netflix storage engineer, it now sells Free, Developer, Team and Enterprise plans, and the paid tiers bill usage against a monthly minimum.

Idle-free serverless sandboxes billed by the minute, running directly against a cached S3 mount, so teams skip both ETL pipelines and always-on compute.

The founder's Amazon EFS and Netflix storage background and a custom caching protocol give some technical edge, but FUSE-based S3 mounting is a well-trodden space (s3fs, goofys, Mountpoint) that a well-resourced competitor could replicate.

Also for

  • Founders building AI agent platforms on top of S3-hosted data sets
  • ML engineers training models on large S3-hosted data sets
Show 3 more
  • AI agent platform teams needing persistent, shareable storage for autonomous coding or research agents
  • Backend and infrastructure engineers replacing custom S3 ETL pipelines with a mounted filesystem
  • DevOps teams provisioning Kubernetes workloads that need S3-backed ReadWriteMany volumes

Also not for

  • Teams requiring multi-cloud serverless execution today (GCP/Azure)

Main trade-off

Eventual consistency between Archil and the source S3 bucket, plus AWS-only serverless execution, limits fit for workloads needing instant cross-system consistency or non-AWS serverless compute.

Archil pricing

PlanMonthly priceWhat it includes
FreeFree5 file systems of up to 10 GB each, 1,000 serverless tool calls a month, 1 hour of sandbox compute a month, 5 concurrent sandboxes, 30-minute sessions, Hard caps with no overage
Developer$10/mo$10 monthly minimum, usage counts toward it, 1,000 file systems and 20 concurrent sandboxes, External mounts and bring your own bucket, Network controls and private sandbox images
Team$500/mo$500 monthly minimum, usage counts toward it, 25,000 file systems and 250 concurrent sandboxes, 3 workspaces, SOC 2 and a shared Slack channel
EnterpriseCustomCustom minimum and unlimited capacity, SSO, SCIM and advanced API key permissions, BYOC or on-premises, PrivateLink or VPC peering, HIPAA with BAA and DPA, availability SLA, 24/7 support
How the pricing works, in full

Free: $0 with hard caps and no credit card; storage, tool calls and sandbox hours all stop at the cap, and external mounts are not included. Developer: $10 monthly minimum, and usage counts toward it. Team: $500 monthly minimum with SOC 2 and a shared Slack channel. Enterprise: custom minimum, adds SSO and SCIM, bring-your-own-cloud, PrivateLink, an availability SLA, HIPAA with BAA and DPA, and 24/7 support. Usage rates on Developer and Team: $0.05 per 1,000 serverless tool calls, $0.20 per GiB-month active storage, $0.025 per GB-month archive storage, $0.055 per vCPU-hour, $0.02 per GiB-hour memory, $0.07 per GB leaving Archil.

What each plan includes

Compare the plans feature by feature (6 rows)
FeatureFreeTeamDeveloperEnterprise
File systems5 (10 GB each)25,0001,000Custom
Concurrent sandboxes525020Unlimited
External mounts and own bucket—✓✓✓
SOC 2—✓—✓
SSO and SCIM———✓
HIPAA with BAA———✓

Before you commit

  • Archive storage at $0.025/GB-month for data not synced to a customer bucket
  • Egress fees of $0.05/GB for out-of-region access
  • Sandbox compute is billed separately from storage, so heavy use on the free Developer tier can exceed the monthly free minutes quickly

What Archil does

Archil is a hosted disk that mounts Amazon S3, Google Cloud Storage and Cloudflare R2 buckets as a POSIX filesystem, with vendor-measured 0.5 ms cache-miss reads. It adds serverless Bash, Python and Node tool calls billed per call, plus persistent sandboxes, for AI agent and ML data work.

  • Object storage as a POSIX disk

    Mounts Amazon S3, Google Cloud Storage, Cloudflare R2 and S3-compatible stores as a real directory, with hot data on SSD and a published 0.5 ms cache-miss read for 4 KiB.

  • Serverless tool calls

    Each disk.exec call runs Bash, Python or Node in a fresh microVM against the disk, with execution included in the call price and files kept for the next call.

  • Persistent sandboxes

    Long-running servers boot from standard OCI images and bill for the CPU and memory they hold while running, with a concurrency cap that rises by plan.

  • Checkpoints and branching

    Lets separate agent runs work on independent branches of one data set; on bring-your-own-bucket disks this is an Enterprise-only feature.

Show all 8 features
  • Sandbox egress firewall

    Paid plans can deny all egress or allow listed domains and CIDR ranges; Free uses a managed allowlist of registries, Git hosts and model APIs.

  • Kubernetes CSI driver and Terraform provider

    Provisions volumes in Kubernetes clusters and manages disks as infrastructure-as-code, with documented guides for Modal, Vercel Sandbox, Fly.io Sprites and Cloud Run.

  • Bring your own bucket

    Paid plans write each file to your own bucket as a plain object, so removing a disk leaves the data where you can still reach it.

  • Four generally available regions

    Disks run in AWS us-east-1, us-west-2 and eu-west-1 plus GCP us-central1, with other regions on request.

Works with

  • Vercel AI SDK
  • LangChain
  • Mastra
  • Kubernetes (CSI driver)
  • Terraform

Missing integrations

  • MCP (Model Context Protocol) server
  • GCP serverless sandbox execution

Most users expect these and they are not currently supported.

Capabilities

  • AI infrastructure
  • Object storage
  • Posix filesystem
  • AI agents
  • Sandboxes
  • Kubernetes
  • S3
  • Data infrastructure

Strengths and limits

Strengths

  • Meters tool calls with execution included, so an idle agent costs nothing between calls, unlike an always-on VM.
  • Bring-your-own-bucket keeps files as ordinary objects, so leaving Archil does not strand the data.
  • Publishes its methodology, including an Amazon EFS comparison with the tests EFS won, so claims can be reproduced.
  • Paid plans give each sandbox an egress policy, including a mode that keeps API keys outside the code.

Limits

  • Free is capped hard on storage, tool calls and sandbox time, with no overage and no external mounts.
  • Paid plans carry a monthly minimum, which is poor value for very light use.
  • Data leaving Archil is billed per GB, and a sandbox created without an egress policy has unrestricted egress.
  • HIPAA, SSO and SCIM, PrivateLink and checkpoints on bring-your-own-bucket disks are Enterprise-only; Team adds SOC 2 but not those.
  • Generally available in four regions only, so data residency outside the US and Ireland needs a request to the vendor.

How Hokai rates it

  • Ease of use8.0 / 10
  • Features8.5 / 10
  • Value for money7.5 / 10
  • Support7.0 / 10

Archil alternatives

ToolPrice fromFree planRuns onRating
Archil This page$10/moYesWeb3.9
E2BPick Archil if agents need persistent, S3-backed storage tied to the sandbox; pick e2b if you only need ephemeral code execution.$150/moYesWeb3.9
ModalPick Archil if the workload is data-mounting and agent storage; pick Modal if you need general-purpose serverless compute functions.$250/moYesWeb--
Together AIPick Archil if you need a filesystem layer under your own agent stack; pick Together AI if you need hosted inference APIs for open models.--TrialWeb--

Archil facts

Deployment
Cloud · On-premise
Works offline
No
Minimum skill level
Advanced
Price band
Mid-range
Training
Documentation
Maker founded
2024
Compliance
SOC 2 Type II and HIPAA shown on the vendor homepage; pricing page lists SOC 2 on Team and Enterprise · HIPAA with DPA and BAA on Enterprise only
Total funding
$18M total ($6.7M seed led by Felicis Ventures with YC, Peak XV Partners, Wayfinder Ventures, General Catalyst; $11M Series A led by Standard Capital, April 2026)

Data and privacy

Proprietary hosted service; TypeScript SDK (archil-sdk) is open source under MIT

Questions about Archil

What does Archil cost per month in 2026?

Archil has four plans: Free at $0 with hard caps, Developer with a $10 monthly minimum, Team with a $500 monthly minimum, and custom Enterprise. Metered usage counts toward the minimum, so $6 of Developer usage bills as $10 while $18 bills as $18. Paid usage runs $0.05 per 1,000 tool calls, $0.20 per GiB-month active storage and $0.07 per GB out.

Can I use Archil without paying?

Yes. The Free plan needs no credit card and includes 5 disks of up to 10 GB, 1,000 serverless tool calls and 1 hour of sandbox compute a month. Work stops at the limit instead of billing. Free has one workspace, no external mounts and sessions of up to 30 minutes.

Which tools compete with Archil for agent sandboxes?

E2B covers short-lived sandboxes without a persistent disk, and Modal covers general serverless compute. Archil is the pick when agents must keep and share files between calls, because the disk stays after each tool call ends. Teams that only need a free FUSE mount of a bucket can look at AWS Mountpoint for S3 or s3fs-fuse.

Does Archil lock my data in?

Not on paid plans that use bring-your-own-bucket. Each file lands in your own bucket at its normal path, and deleting the disk leaves those objects untouched. Managed disks use an internal format, which you export with any S3 client or by mounting the disk and copying files.

How do I start building on Archil?

Create a free account at console.archil.com, install the TypeScript SDK (the disk package) or the Python SDK, then create a disk and call disk.exec to run Bash, Python or Node against it. For agents, the vendor documents a Vercel AI SDK helper that exposes the disk as tools. A mount takes about 50 ms according to the vendor.

About Archil

Hunter Leath founded Archil after nine years in cloud storage, first as a founding engineer and senior product manager on Amazon EFS, then leading cloud storage at Netflix. Founded in 2024 as Regatta Storage and renamed Archil in 2025, the company now describes itself as "the serverless runtime for intelligence": durable disks plus on-demand sandboxes for AI agents, evals and data pipelines.

Read the full background

The core idea is a disk that keeps hot data on SSD and cold data in object storage. You can start with an Archil-managed disk or connect an existing bucket on Amazon S3, Google Cloud Storage or Cloudflare R2 (MinIO, DigitalOcean Spaces, Wasabi and Backblaze B2 work through the S3-compatible path). With your own bucket every file is an ordinary object any S3 tool can read without Archil. On top of the disk, a disk.exec call starts a fresh microVM for your shell, Python or Node code, and whatever it writes is there for the next call. Persistent sandboxes cover servers that must stay up, and checkpoints and branching let separate agent runs work on independent copies of the same data.

Pricing was reworked since the last Hokai review. The old Developer and Team plans are gone: there is now a hard-capped Free plan, a Developer plan and a Team plan that each carry a monthly minimum rather than a subscription fee, and custom Enterprise terms. Usage is metered per tool call, per GiB of storage, per sandbox CPU-hour and per GiB-hour of memory, and the exact rates sit in the pricing section of this page. The product plugs into Kubernetes through a CSI driver and into infrastructure-as-code through a Terraform provider, and the vendor lists guides for Modal, Vercel Sandbox, Fly.io Sprites, Cloudflare Containers and Cloud Run.

Where it fits matters. Archil is aimed at ML engineers training on large S3-hosted data sets, teams running fleets of coding or research agents that need shared, persistent storage, and engineers who maintain custom sync pipelines. If you only need short-lived, stateless code execution, a pure sandbox such as E2B is simpler, and if the job is general serverless compute rather than a filesystem layer, Modal is the better fit; teams that mainly want hosted inference for open models are better served by Together AI. Small projects with a local data set gain little from a mounted object-store disk and may find the paid plans' monthly minimum unnecessary.

Archil is reported to have raised $18M in total, led by Felicis Ventures at seed and Standard Capital in an April 2026 Series A, and the vendor lists Clay, Gamma, Gumloop, Depot and microAGI as customers. The speed numbers on its homepage (small cache-miss reads against typically tens of milliseconds from S3, and npm ci for 598 packages in 7.6 s against 86.3 s on Amazon EFS) are vendor-run measurements, and the vendor points to a public script and an EFS comparison page so buyers can reproduce them.

Sources and guides

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