Containarium
Open-source agent runtime for persistent, SSH-native Linux boxes per AI agent
If you're running long-lived coding agents and want them isolated without losing SSH access, Containarium is a strong, MCP-native option. The CI keep-alive debugging feature is a standout. But it's early-stage (CLI v0.x) and not for non-Linux or no-code teams. For self-hosted agent sandboxing, it's worth a serious look.
Verified 2d ago · liveness 76/100 · cite: rightaichoice.com/tools/containarium
- Developers running long-lived coding agents (Claude Code, Cursor) who need a persistent, isolated Linux box
- Teams needing secure CI environments with SSH debugging on failure
- Agent fleet operators managing isolated boxes per task, per user, or per tenant
- Developers building custom MCP tools that need a Linux environment to run in
- Users looking for a no-code agent builder
- Teams that prefer fully managed closed-source solutions without self-hosting
- Scenarios requiring non-Linux environments (Containarium is Linux-only)
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Skip Containarium if you need a fully managed closed-source solution, require Windows or macOS agent runtime, or prefer not to deal with Kubernetes/LXC and eBPF self-hosting complexity.
Self-hosting requires you to manage Kubernetes or LXC and eBPF, which can involve significant operational overhead beyond the software itself.
Containarium's OSS is free, making it attractive for self-hosters. Cloud Free tier lets you try hosted, but for production with SSO/audit, you move to usage-based pricing. Compared to E2B, Modal, or Daytona, Containarium's self-hostable option is unique, but managed alternatives may be simpler for teams without infra expertise.
In short
Containarium — Open-source agent runtime for persistent, SSH-native Linux boxes per AI agent. Best for Developers running long-lived coding agents (Claude Code, Cursor) who need a persistent, isolated Linux box, Teams needing secure CI environments with SSH debugging on failure, Agent fleet operators managing isolated boxes per task, per user, or per tenant. Free to start; paid plans from $2/mo.
What's new in Containarium
Checked 8 days agoAcross the latest 2 updates: 2 news mentions.
Running untrusted agent code: the hole isn't escape, it's egress
Argues the primary threat from untrusted agents is unrestricted outbound network access, not container escape. Discusses when Containarium is the wrong tool.
The best AI agent sandboxes in 2026 (compared)
Compares Containarium with E2B, Modal, and Daytona on self-hosting, persistence, isolation tech, license, MCP support, and cost.
What people actually say about Containarium — 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.
14 mentions across 1 source (Hacker News) · researched Jul 3, 2026.
- +SSH-native isolation prevents API token leaks to agents.
- +eBPF egress policy enforces fine-grained network sandboxing.
- +Quick provisioning — seconds per environment on LXC.
- +MCP-native CLI integrates easily with Claude Code and Cursor.
- +Persistent hostname with TLS simplifies agent connectivity.
- −Very early-stage with limited community and documentation.
- −Competes with mature tools like Incus and Proxmox.
- −Security model depends on runtime, raising doubts.
- −Scalability beyond 100 containers per VM unproven.
- −No native integrations with major CI/CD platforms.
- • Self-hosting requires Kubernetes or LXC infrastructure.
- • Cloud pricing and limits not publicly documented.
Viability Score
How well maintained and how widely used is Containarium? 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
Last calculated: September 2026
How we score →Key Features
- Persistent, network-isolated Linux box per agent
- SSH-native isolation with routable hostname and TLS
- eBPF egress policy for network sandboxing
- Kubernetes and LXC backends
- Built-in MCP server exposing shell and file ops
- Supports Claude Code, Cursor, Cline, OpenCode, custom agents
- Ephemeral CI environments with warm caches across runs
- Keep-alive on CI failure for live SSH debugging
- containarium-run GitHub Action (Tier 0)
- Self-hostable OSS under Apache 2.0
- Containarium Cloud with SSO and audit logs
- Multi-tenant routing via sentinel
- Local web UI for managing boxes
- GPU passthrough support
- Enterprise tiers: self-hosted, audited, air-gapped offline bundle
About Containarium
Containarium is an open-source agent runtime that gives each AI agent its own persistent, network-isolated Linux box. Instead of letting Claude Code, Cursor, Cline, or custom agents run loose on your laptop, you spin up a dedicated container on Kubernetes or LXC with real root, a real filesystem, and eBPF-enforced egress policy. The box is exposed on a routable hostname with TLS via a built-in sentinel (sshpiper + Caddy + PROXY protocol), so SSH and HTTP just work. An MCP server runs inside the box, exposing shell and file operations over stdio — any MCP-aware agent can connect over SSH or HTTPS and drive it. This is a primitive, not another agent: you bring the agent, Containarium gives it the box. For CI, Containarium offers a GitHub Action (containarium-run@v1) that creates an ephemeral box per job, with warm caches across runs and keep-alive on failure. When a test fails, the box stays alive for an hour so a human or an agent can SSH in and debug the broken state in place — a direct answer to the black-box nature of GitHub-hosted runners. The CI runner reads a simple .github/containarium.yml (image, setup, test) and handles the rest. Containarium is available in two flavors: Containarium OSS (Apache 2.0, self-hostable on one VM with full CLI, local web UI, and sentinel) and Containarium Cloud (hosted control plane with SSO and audit logs). The OSS version is single-tenant and yours forever; the Cloud version is multi-tenant and usage-based. For enterprises, there are deployment tiers for self-hosting (Tier 1+), audited SSO (Tier 2), and air-gapped offline bundles (Tier 3). The vendor also positions Containarium as a VMware-like consolidation layer for cloud VMs, letting you pack many isolated services onto the VMs you already run — with RBAC, audit log, security scanning, and backups. Compared to alternatives like E2B or Modal, Containarium leans heavily on MCP-native interfaces, persistent boxes, and warm caches — ideal for long-running agents and
Behind the Verdict
Containarium fills a specific niche that generic sandboxes miss: persistent, SSH-accessible Linux boxes for AI agents. The MCP server built into each box means your agent — whether Claude Code, Cursor, or a custom one — can drive it without extra plumbing. The sentinel handles hostnames and TLS, so you get a stable endpoint across sessions. For CI, the keep-alive-on-failure feature is the killer app. GitHub-hosted runners die and take the debugging state with them; Containarium keeps the box alive for an hour so you can SSH in and poke at the broken test. That alone could save hours of re-running CI to reproduce flaky failures. But it's early-stage software. The CLI is still v0.x, and the vendor is transparent about what's planned (like PR previews) versus what ships today. Self-hosting requires a VM or Kubernetes, and the setup is not trivial — you'll need to install the CLI and configure the daemon, sentinel, and backends. Expect a learning curve. When should you pick this? If you're a developer running long-lived agents and you want them sandboxed from your host, or a team that needs auditable, isolated CI environments with SSH debugging. It's also a fit for fleet operators who need one box per task, user, or tenant, with routing handled centrally. When should you pass? If you want a fully managed solution with zero ops, or you need Windows/macOS support (Containarium is Linux-only). If your agents don't speak MCP, you'll lose the native integration. And if you're looking for a no-code agent builder, this is the wrong layer — it's infrastructure, not an agent framework. Compared to E2B or Modal, Containarium's edge is self-hosting and its MCP-native design. E2B is more mature on the managed side, but if you want code to stay in your own perimeter,
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Real-world workflow fit
Concrete scenarios for the personas Containarium actually fits — and what changes day-one when you adopt it.
Install Containarium on an Ubuntu VM, create a box with containarium create, and point Claude Code to it via MCP.
Outcome: Claude Code runs in an isolated Linux box with persistent storage and a stable hostname, surviving across sessions without touching your laptop.
Add containarium-run@v1 to your GitHub Actions workflow, configure .github/containarium.yml, and enable keep-alive on failure.
Outcome: Each PR gets an ephemeral box that runs tests with warm caches; on failure, you get an SSH session to debug in place.
Deploy Containarium with Kubernetes backend, use the sentinel to route each tenant to a dedicated box.
Outcome: Each tenant gets an isolated box with egress control, and routing is handled automatically by hostname.
Use Cases
- Give Claude Code a persistent box to work on long-running projects across sessions
- Spin up per-PR ephemeral boxes for CI that keep running for debugging when tests fail
- Deploy agent fleets with one box per user or task, routed by the sentinel
- Run custom MCP servers alongside the built-in one to extend agent capabilities
- Use SSH-native isolation to run untrusted agent workloads without exposing cluster tokens
Limitations
- The open-source CLI is still v0.x, so stability and feature completeness may vary.
- Self-hosting requires familiarity with Kubernetes or LXC and eBPF setup.
- The product primarily targets Linux environments (e.g., installation on an Ubuntu VM).
- PR previews are still on the roadmap, not yet shipping.
- Also, Containarium is not the right tool if you need to run agents in non-Linux environments or if you want a fully managed closed-source solution.
as of 2026-08-26
Verification history
We have re-verified Containarium 6 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.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Containarium tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Containarium OSS
$0 (Apache 2.0)
Ideal for
Self-hosters who want full control and are comfortable managing their own infrastructure.
What this tier adds
Free, Apache 2.0 license, includes CLI, sentinel, and local web UI.
Containarium Cloud — Free Tier
$0/mo
Containarium Cloud — Paid (Usage-based)
Usage-based
Where the pricing makes sense
The company stage and team size where Containarium's pricing actually pencils out — and where peers do it cheaper.
Containarium's OSS is free, making it attractive for self-hosters. Cloud Free tier lets you try hosted, but for production with SSO/audit, you move to usage-based pricing. Compared to E2B, Modal, or Daytona, Containarium's self-hostable option is unique, but managed alternatives may be simpler for teams without infra expertise.
Setup time & first value
How long it actually takes to get something useful out of Containarium — broken out by persona, not the marketing-page minute.
Solo developer: ~10 minutes to install on an Ubuntu VM and create a box. DevOps: ~30 minutes to set up self-hosted OSS and configure the GitHub Action. Cloud Tier 0: ~5 minutes to sign up and use the Action without self-hosting.
Switching to or from Containarium
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Docker or LXC manually: Containarium manages boxes and routing for you, reducing manual setup.
- →From ad-hoc VMs: Use Containarium's CLI to create boxes, and the sentinel for hostnames.
- ↗To E2B: Similar sandboxing but managed; you'd need to adapt your agent config to E2B's API.
- ↗To Modal: If you need serverless containers, migrate your CI flows to Modal's platform.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Containarium
Common stack mates teams adopt alongside Containarium, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Containarium vs Spider Cloud
Choose Containarium if you need to run coding agents (like Claude Code) in isolated, SSH-accessible Linux environments with GPU support. Choose Spider Cloud if your priority is fast, cheap web scraping for AI agents and RAG pipelines. They serve fundamentally different needs, so pick based on whether you need an agent runtime or web data extraction.
Containarium vs Temporal Ai
Temporal AI is the clear winner for teams needing robust workflow orchestration with automatic retries and durability, especially for AI agents and microservices. Containarium excels if your primary need is a secure, isolated Linux box for coding agents like Claude Code—but its scope is narrower. Choose Temporal for broad orchestration; pick Containarium for agent sandboxing.
Containarium vs Presto Voice
Presto Voice and Containarium serve completely different buyers. Presto Voice is purpose-built for QSR chains needing a proven drive-thru voice AI solution with upselling, while Containarium is an open-source infrastructure tool for developers running coding agents in isolated environments. Your choice depends entirely on your domain: restaurant ops or agent engineering. There is no overlap.
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Agentmemory
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VCPToolBox
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