E2B is an open-source cloud that gives each AI agent session its own isolated Linux microVM for running generated code, using tools, and working with files. Developers create and control sandboxes through Python and JavaScript SDKs or a CLI, while agents use the shell, filesystem, network, and an optional graphical desktop.[1][2]
Quick verdict
E2B fits agent teams that run untrusted model-generated code and want per-session Firecracker isolation without building sandbox infrastructure. Its SDKs, snapshot and fork lifecycle, egress filtering, and storage mounts cover the full agent workspace, billed per second for CPU and RAM with a free Hobby tier. Sandboxes are CPU-only, SSO is still planned, and Hobby caps sessions at one hour. Code teams should start on Hobby; teams needing GPUs or SSO should look elsewhere.[1][2][3][4][5]
Capabilities
Each agent session runs in its own isolated Linux microVM on Firecracker with a dedicated kernel, so generated code executes outside the host environment.[1][2]
Developers create and control sandboxes from Python and JavaScript SDKs or the CLI.[1][2]
Agents work through shell, filesystem, and network access with an optional graphical desktop inside each sandbox.[1]
Sandboxes pause, snapshot, resume, and fork, carrying state across sessions without re-running completed steps.[1]
Outbound traffic filters per sandbox, and secrets inject at the egress proxy so values never enter the guest.[1]
Storage spans the isolated filesystem, Git, persistent volumes, and mounted S3, GCS, or R2 buckets.[1]
Live resource metrics and signed lifecycle webhooks expose sandbox activity for observability.[1]
E2B Cloud runs managed sandboxes across US, EU, and APAC regions under SOC 2 Type II.[1][2]
Who it fits
We would evaluate E2B for agent teams that execute untrusted model-generated code, since per-session microVM isolation is the stage riskiest to build in-house.[1][2]
Teams that need resumable agent work can evaluate snapshot, resume, and fork, which preserve session state across runs.[1]
Open-source-leaning teams can evaluate the Apache-2.0 runtime and single-machine self-hosting path when managed-cloud tenancy does not fit their policy.[1]
Limitations
Sandboxes are CPU-only with no GPU option, so GPU-bound training or inference workloads need a different platform.[1]
SSO is planned rather than available, so teams that mandate SSO sign-in cannot enforce it on E2B accounts yet.[1]
Hobby caps sessions at one hour with 20 concurrent sandboxes, so long-running or highly parallel evaluation needs a paid plan.[1]
Reported experience
One independent practitioner guide (Lizard-affiliated vendor comparison by CEO Yurii Oliinyk) with E2B pricing and lifecycle figures checked against E2B pricing docs in September 2026. No Reddit or G2 firsthand user reports were located; E2B-name searches collide with unrelated Easy2Boot content.
1 cited community source. Vendor-affiliated single source: the guide's figures are attributed to E2B vendor docs, not independent measurement. No firsthand user quotations were selected, so broader sentiment is unknown and no prevalence claim is made.
The practitioner guide author reports E2B's Hobby tier at $0 with a one-time $100 credit, and illustrates a small side project at about $20 per month from roughly $562 in metered usage minus credit, checked against E2B pricing docs in September 2026. This is the author's billing walkthrough, not OpenAlternative measurement.[1]
We treat the guide's Modal comparison as a starting pointer rather than a verified benchmark: the author sells competing sandbox infrastructure, and the page states its figures come from vendor docs, not independent measurement.[1]
Alternatives and compatibility
Enterprise teams can run the data plane in their own AWS, GCP, or Azure account, or self-host the Apache-2.0 runtime on a single Linux x86-64 machine with KVM, keeping managed regions as the default.[1][2]
The practitioner guide uses Modal's sandbox documentation as its E2B comparison point across startup, execution, and stored outputs; readers deciding between them should compare those three behaviors directly.[1]
Questions worth asking
What is the best E2B alternative for non-technical users?
E2B assumes code: sandbox creation, code execution, and lifecycle control run through Python and JavaScript SDKs or the CLI. Non-technical teams should evaluate no-code agent platforms instead. None is currently a published catalogue relationship, so this stays a proposal.[1]
Is E2B really no-code?
No. Sandbox creation, code execution, and lifecycle control run through Python and JavaScript SDKs or the CLI. The shell, filesystem, network access, and optional desktop serve agents inside sandboxes; they are not visual builders.[1]
How much does E2B cost per month?
Hobby is free with a one-time $100 credit, capped at one-hour sessions and 20 concurrent sandboxes. Pro starts at a $150 per month base plus per-second usage at about $0.000014 per vCPU-second and $0.0000045 per GB-RAM-second, per the September 2026 pricing check. Sandbox usage bills per second for CPU and RAM.[1][2]
Sources and editorial review
Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
One independent practitioner guide (Lizard-affiliated vendor comparison by CEO Yurii Oliinyk) with E2B pricing and lifecycle figures checked against E2B pricing docs in September 2026. No Reddit or G2 firsthand user reports were located; E2B-name searches collide with unrelated Easy2Boot content. Vendor-affiliated single source: the guide's figures are attributed to E2B vendor docs, not independent measurement. No firsthand user quotations were selected, so broader sentiment is unknown and no prevalence claim is made.
- E2B - secure sandboxes for AI agents
official · Observed October 9, 2026
Official homepage: isolated Linux sandboxes for AI agent code; per-session microVM isolation; managed cloud posture with SOC 2 Type II compliance.
- E2B pricing
official · Observed October 9, 2026
Official pricing: Hobby free tier with one-time credit; Pro plan with monthly base plus per-second CPU and RAM usage billing.
- E2B documentation
official · Observed October 9, 2026
Official docs: Python and JavaScript SDKs plus CLI; shell, filesystem, network, and optional desktop; pause, snapshot, resume, and fork; HTTPS port exposure; per-sandbox outbound filtering; egress-proxy secret injection; Git, volume, and S3/GCS/R2 mounts; live metrics and signed lifecycle webhooks; CPU-only sandboxes; SSO planned.
- E2B repository README
official · Observed October 9, 2026
Repository README at about 14,140 stars: Apache-2.0 licensed runtime in Python and TypeScript; self-hosted runtime on a single Linux x86-64 machine with KVM; managed E2B Cloud across US, EU, and APAC regions.
- E2B sandboxes: pricing, lifecycle and alternatives
community · Observed October 9, 2026
Independent practitioner guide by Lizard CEO Yurii Oliinyk (Lizard sells sandbox infrastructure; vendor affiliation disclosed): E2B lifecycle and per-second billing walkthrough with figures checked against E2B pricing docs September 2026; Hobby caps of one-hour sessions and 20 concurrent sandboxes, Pro 24-hour sessions; CPU at $0.000014/s and memory at $0.0000045/GB/s; illustrative $20/month small-project math; Modal as the sandbox comparison.