Amika

Amika

Amika turns computers you already own into sandboxed cloud devboxes for AI coding agents—plus multiplayer Rigs you can reach from anywhere.

78/100Safe BetFree · from $30/mo per active userFreemium

If your agents are already chewing through Claude Code or Codex subscriptions and you have idle hardware, Amika is one of the cheaper ways to put that compute to work in isolated VMs—free for teams of three or fewer on your own machines. Team pricing of $30 per active user only counts people who actually start a sandbox or send agent instructions, so viewers and commenters cost nothing. The catch is real: someone on your team has to own the config work, and hosted compute past your $50 credit

Verified 3d ago · liveness 78/100 · cite: rightaichoice.com/tools/amika

Best for
  • Platform teams turning spare Mac Minis, desktops, or EC2 instances into shared agent sandboxes
  • Engineering teams routing Linear issues and Sentry alerts to isolated Rigs that open PRs
  • Companies that want agents on their existing Claude Code or Codex subscriptions without token markup
  • Teams that need agents inside their own VPC, spending cloud credits they already own
Not ideal for
  • Teams wanting a managed model and zero setup — Amika is bring-your-own-LLM-keys and expects configuration work
  • Anyone without a developer to onboard machines, wire credentials, and define what each Rig can reach
  • Buyers who want a plug-and-play coding assistant rather than a control plane to operate
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IntermediateSolo dev on your own machine: about 15-20 minutes to install the CLI, connect the host, and get a first agent chat running. A platform engineer with a real repo takes roughly half a day — writing rig.config with services and seeded data, saving the first snapshot, and wiring Slack or a GitHub PR trigger.Web · CLI · APIAPI availableVerified 3d ago
Pricing
Free · from $30/mo per active user
FreemiumFree tier3 plans5 hidden costs
Learning curve
Intermediate
Solo dev on your own machine: about 15-20 minutes to install the CLI, connect the host, and get a first agent chat running. A platform engineer with a real repo takes roughly half a day — writing rig.config with services and seeded data, saving the first snapshot, and wiring Slack or a GitHub PR trigger.
Runs on
WebCLIAPI
API available · 9 integrations
Who it's for
Platform engineer at a 40-person SaaS companySRE on call for a production serviceSolo developer with a spare Mac Mini
Live sentiment
Is Amika actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip Amika if you want a managed model and a single plug-and-play assistant, or if nobody on your team will own rig.config, validators, and the workflow code that keeps agent automation honest.

The 30-second take
Biggest gripe

Past your $50 organization credit, hosted sandbox compute bills per second at $0.1008/vCPU-hour, $0.0324/GiB memory-hour, and $0.00216/GiB storage-hour — a standard 2 vCPU / 4 GiB / 20 GiB Rig runs about $0.37/hour.

Price reality

Free at $0/mo with $50 of organization credits and unmetered hours on your own machines is generous for a small platform team testing agent workflows. Team at $30/mo per active user is cheap next to per-seat Cursor or Copilot Business seats once you are already paying for Claude Code or Codex, but it is only a floor — hosted sandbox compute at $0.1008/vCPU-hour sits on top, so an always-on fleet can outrun a bundled-assistant subscription.

In short

Amika — Amika turns computers you already own into sandboxed cloud devboxes for AI coding agents—plus multiplayer Rigs you can reach from anywhere. Best for Platform teams turning spare Mac Minis, desktops, or EC2 instances into shared agent sandboxes, Engineering teams routing Linear issues and Sentry alerts to isolated Rigs that open PRs, Companies that want agents on their existing Claude Code or Codex subscriptions without token markup. Free to start; paid plans from $30/mo.

What's new in Amika

Checked yesterday

Across the latest 6 updates: 4 feature updates and 2 changelog entries.

ChangelogChangelog·23 days agoNewest

CLI and SDK adopt rig naming; sandbox names remain as deprecated aliases

CLI adds amika rig with --rig and --rig-name flags, and amika send now uses the checked-out branch. Sandbox-named SDK methods and types stay available as deprecated aliases.

FeatureChangelog·23 days agoNewest

SSH and browser terminal sessions recover from interruptions; rig-to-rig SSH with isolated key

SSH recovers from stale saved connection details, terminals survive brief interruptions without a new shell, and rig-to-rig connections use an isolated Amika SSH key instead of forwarding local keys.

FeatureChangelog·23 days agoNewest

Agent setup shortened: import credentials from agent CLIs or enter API key in browser

Coding agents now set up in fewer steps, credentials can be imported from each agent's CLI or entered as an API key in the browser, and new users can commit without setting a Git author name first.

ChangelogChangelog·23 days agoNewest

Sandboxes renamed to rigs; local Docker rigs removed, CLI and SDK follow

Sandboxes are now called rigs across web app, CLI and TypeScript SDK. Existing sandbox commands and links still work as aliases; local Docker rigs and their commands were removed in favor of remote rigs.

FeatureChangelog·Sep 15

Agent chats get selectable agent, model and reasoning effort

Users can now choose the coding agent, model and reasoning effort when starting a new agent chat, and GitHub connection flows were improved.

FeatureChangelog·Sep 15

Snapshots restore in originating environment; browser terminal and desktop apps open from sandbox

Release makes snapshot restore reliable, adds browser-based terminal and direct desktop app links from a sandbox, and provides SSH keys automatically with clearer connection instructions.

What people actually say about Amika — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

43 mentions across 3 sources (Hacker News, Bluesky, Lemmy) · researched Jul 6, 2026.

18% positive82% critical

Average across the 3 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Sandboxed micro-VMs with root access prevent production damage.
  • +Open core with OSS parts on GitHub fosters transparency.
  • +Works with any coding model (Claude, Codex, etc.).
  • +Event-driven workflows automate reactions to Sentry, Linear, webhooks.
  • +Programmable validation checks (tests, linters) gate pull requests.
Recurring frustrations
  • −Zero verified independent user reviews or case studies.
  • −HN feedback is almost entirely from founders, biasing perception.
  • −No data on reliability, uptime, or performance at scale.
  • −Pricing unknown for enterprise tier (custom).
  • −Sandbox credit costs can add up beyond free $5 tier.
Patterns worth knowing
Founder-driven promotion on Hacker News
Seen on Hacker News
Sandbox isolation is a key differentiator
Seen on Hacker News
Competition in the agent sandbox space is high
Seen on Hacker News
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • LLM API costs are separate and can be significant
  • • Sandbox usage beyond free tier may surprise heavy users

Viability Score

78/100
Safe Bet

How well maintained and how widely used is Amika? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
18
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Run sandboxed coding agents as isolated VMs on your own machines, your cloud accounts, or Amika's hosted cloud
  • Add a Mac Mini, desktop, or EC2 instance and Amika slices it into isolated VMs on one private network
  • Bring your own LLM keys from Anthropic, OpenAI, and others with no token markup on any plan
  • Run Claude Code, Codex, or OpenCode inside a Rig using your existing subscriptions
  • Rigs boot with repo checked out, credentials loaded, and dev server already running
  • Start agents from Sentry alerts, Linear issues, Slack messages, CLI, API, or your own scripts
  • Bind a Rig to a GitHub PR so agents auto-fix failing CI and review comments
  • Multiplayer sessions: teammates join a live agent run and share private HTTPS preview URLs
  • Browser Agent Chats for Claude and Codex with streamed Markdown replies
  • Select agent, model, and reasoning effort per agent-chat session
  • SSH (sshv2, scpv2, sftp) plus browser terminals and desktop-app links to Cursor or Codex
  • Connect your own machines for free; hours on your own hardware are never charged
  • Hosted sandboxes billed per second, after a $50 per-organization credit
  • Service-account sandboxes for API-key-driven agents, counted by concurrent runs
  • Access rules, org-managed secrets, and enforced agent configs on Team and Enterprise

About Amika

FreemiumIntermediateAPI availableWeb · CLI · API

Amika is a control plane for isolated sandboxed coding agents, and it starts from a simple premise: you probably already own the hardware. Point it at a spare Mac Mini, an EC2 instance inside your VPC, or a Kubernetes cluster, and Amika slices that machine into isolated VMs and puts every one of them on a private network your teammates can reach. Prefer not to run hardware? Amika hosts sandboxes too, billed by the second. The software's open-source core lives at github.com/gofixpoint/amika. Each sandbox—now called a Rig through the web app, CLI, and TypeScript SDK, with older sandbox commands still working—boots with your repo checked out, credentials loaded, and a dev server already running, so agents get straight to work rather than warming up a toolchain. You bring the agents you already pay for: Claude Code, Codex, and OpenCode all run inside the same Rig on your existing subscriptions, with your own Anthropic or OpenAI keys and no token markup. Amika charges for compute, not prompts. Steering is deliberately multi-surface. Kick off work from Sentry alerts, Linear issues, Slack messages, or your own scripts via API and CLI; bind a Rig to a GitHub PR so agents auto-fix failing CI and review comments; or open a private HTTPS preview URL and send it to a teammate instead of a screenshot. Sessions are shared—colleagues can join a live run, and SSH plus desktop-app links to Cursor or Codex mean you can hand off between your laptop, an editor, and a phone. Since August 2026, Agent Chats in the browser let you talk to Claude or Codex directly, with streamed Markdown replies and per-session selection of agent, model, and reasoning effort. Every chat is backed by a sandbox you control. Amika's pitch lands closest to a "Tailscale meets Kubernetes, but simple" pitch for agent sandboxes—VM-level isolation rather than shared-kernel containers, secrets kept out of reach, and one control plane over sandboxes you own or rent.

Behind the Verdict

The question Amika answers isn't "which coding agent should I use"—it's "where should all these coding agents live." Once a team has four or five parallel Claude Code sessions going, the mess is environmental: shared credentials, overlapping ports, half-configured toolchains, and no way to show a colleague what actually happened. Amika's answer is to make each sandbox a first-class unit with its own VM, its own network address, and its own shareable preview URL. We'd reach for it when hardware is already sitting around. A Mac Mini in a closet running three concurrent agents, with hours that are never metered, is close to free capacity—and Amika's Free plan covers up to 3 active users, unlimited sandboxes on your own machines, and 10 concurrent service-account sandboxes. Cloud-account owners get a second win: run sandboxes on AWS or GCP against credits you already hold, inside your own VPC where your existing audit controls apply. Where it bites is setup. Amika is not a plug-and-play assistant; someone has to onboard machines, wire credentials, and decide what each Rig can reach. That's a platform-team job, and smaller shops without a DevOps owner will feel it. If you want a managed environment where you type a prompt and nothing else, this is the wrong shape of product. Costs deserve a clear-eyed look. Hosted compute runs $0.1008 per vCPU-hour, $0.0324 per GiB memory-hour, and $0.00216 per GiB storage-hour—a standard 2 vCPU / 4 GiB / 20 GiB sandbox lands around $0.37 per hour, after the $50 per-organization credit. Run agent fleets unattended for long stretches on Amika's cloud and that adds up fast; run them on your own boxes and it doesn't. Billing is unusually friendly to lurkers: an active user is anyone who starts a sandbox or sends agent instructions in a

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Real-world workflow fit

Concrete scenarios for the personas Amika actually fits — and what changes day-one when you adopt it.

Platform engineer at a 40-person SaaS company

Writes rig.config for the main repo with node:20, postgres:16, and a seeded dataset, saves a snapshot, and wires @amika in Slack plus a GitHub PR binding.

Outcome: Any teammate — or agent — boots the identical environment in seconds, and failing CI gets an automatic fix PR instead of a Slack thread.

SRE on call for a production service

Points a background agent at Sentry; on a new TypeError it pulls matching logs from GCP, reproduces the bug in a Rig, and opens a PR against the affected repo.

Outcome: The on-call engineer wakes up to a repro and a candidate fix with passing validation gates rather than a stack trace and a guess.

Solo developer with a spare Mac Mini

Connects the machine in their closet as a Rig host, launches Claude Code through the browser Agent Chat, and steers the session from their phone on the way home.

Outcome: Runs agent work at zero sandbox compute cost and picks the session back up without a local toolchain.

Use Cases

  • Auto-fix a production bug: an agent watches Sentry, pulls matching logs from GCP or AWS, reproduces it in a Rig, and opens a GitHub PR
  • Software factory: background agents pick up tickets, implement in a Rig, loop until tests and type checks pass, then open a PR
  • Turn a Slack request into a working prototype with an HTTPS preview URL
  • Move a Linear ticket end to end — read the issue, work the repo, reply in the thread, advance the board
  • Standardize one dev environment for humans and agents so nobody burns a day on setup
  • Let ops or customer-success teammates run agents that build dashboards from your data, with no local config
  • Run agents on hardware you own — including the desktop in your closet — and drive them from anywhere
  • Schedule a recurring agent that updates documentation as code changes

Models Under the Hood

ClaudeCodexOpenCode

as of 2026-10-17

Limitations

  • You bring your own LLM keys (from Anthropic, OpenAI, and others), so you manage separate provider accounts and their billing; Amika never charges for or marks up model tokens.
  • Free covers up to 3 active users, unlimited sandboxes on your own machines, and up to 10 concurrent service-account sandboxes; past that the org moves to Team at $30/mo per active user, and each service-account sandbox beyond 10 concurrent costs $2/mo on Team.
  • Sandboxes on Amika's own hosted cloud are still in early access via a waitlist, and local Docker rigs and their dedicated commands were removed as of the September 25, 2026 release.
  • Enterprise gates SSO/SCIM, audit logs, GPUs and custom sandbox sizes, and an uptime SLA behind custom pricing.

as of 2026-10-09

Verification history

We have re-verified Amika 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 10 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Amika tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

An individual or small team running agents on hardware they already own, testing whether agent workflows fit at all.

What this tier adds

Starting tier: $0/mo with $50 of organization credits, up to 3 active users, unlimited sandboxes on your own machines, and 10 concurrent service-account sandboxes.

Team

$30/mo per active user

Ideal for

An engineering org of more than 3 active users that needs Slack and Linear triggers, shared rules, and CI-driven agents.

What this tier adds

Adds unlimited active users at $30/mo each, 10 included concurrent service-account sandboxes with extras at $2/mo, Slack and Linear integrations, MCP servers and a skills library, and GitHub Actions/CI.

Enterprise

Custom

Ideal for

Regulated or security-reviewed organizations that need SSO, audit logs, GPUs, or sandboxes running in their own cloud account.

What this tier adds

Adds SSO, SCIM, audit logs, advanced network controls, GPUs and custom sandbox sizes, an uptime SLA, and a Forward Deployed Engineer, all at committed-volume custom pricing.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Past your $50 organization credit, hosted sandbox compute bills per second at $0.1008/vCPU-hour, $0.0324/GiB memory-hour, and $0.00216/GiB storage-hour — a standard 2 vCPU / 4 GiB / 20 GiB Rig runs about $0.37/hour.
  • Free allows 3 active users a month; the month a fourth person starts a sandbox or sends agent instructions, the whole org moves to Team and every active user is $30 for that month.
  • Every service-account sandbox beyond the 10 concurrent included on Team costs $2 per month each, prorated by the day, so a large CI fan-out quietly adds seats of its own.
  • Enterprise-only items — BYO-cloud deployments, GPUs, custom sandbox sizes, SSO/SCIM, audit logs, and the uptime SLA — sit behind committed-volume custom pricing.
  • Each agent's tokens are billed by your own Anthropic or OpenAI account, so cost control lives in two places at once and Amika's session recording is where you reconcile it.

Where the pricing makes sense

The company stage and team size where Amika's pricing actually pencils out — and where peers do it cheaper.

Free at $0/mo with $50 of organization credits and unmetered hours on your own machines is generous for a small platform team testing agent workflows. Team at $30/mo per active user is cheap next to per-seat Cursor or Copilot Business seats once you are already paying for Claude Code or Codex, but it is only a floor — hosted sandbox compute at $0.1008/vCPU-hour sits on top, so an always-on fleet can outrun a bundled-assistant subscription.

Setup time & first value

How long it actually takes to get something useful out of Amika — broken out by persona, not the marketing-page minute.

Solo dev on your own machine: about 15-20 minutes to install the CLI, connect the host, and get a first agent chat running. A platform engineer with a real repo takes roughly half a day — writing rig.config with services and seeded data, saving the first snapshot, and wiring Slack or a GitHub PR trigger.

Switching to or from Amika

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From local git worktrees: move the environment declaration into rig.config, save a snapshot, and boot Rigs from the repo instead of rebuilding locally.
  • →From a self-managed devcontainer or Docker Compose stack: express services in rig.config, then run them as a Rig on your own machine or Amika's cloud.
  • →From a standalone agent harness on your laptop: connect the Rig over SSH or an editor link so Claude Code, Codex, or Cursor attaches to the remote VM.
  • →From a CI-only autofix setup: bind a Rig to the repo's PRs so agents act on review comments and failing checks, not just the pipeline.
Migrating out
  • ↗To a bundled coding assistant (Cursor, Copilot): accept a managed model and drop rig.config ownership, at the cost of choosing where the VM runs.
  • ↗To a plain sandbox provider: keep the compute layer but bring your own harness orchestration, triggers, and session tooling.
  • ↗To a self-hosted runner fleet: fold Rig images into your existing Kubernetes or EC2 automation if you no longer want a control plane in between.

Integrations

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Amika”, and we withheld 6: 6 could not be judged, because “Amika” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Amika.

Tools that pair well with Amika

Common stack mates teams adopt alongside Amika, with the specific reason each pairing earns its keep.

Featured Head-to-Head Comparisons

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Frequently Asked Questions

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