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Text of the page (random words):
e2b the enterprise ai agent cloud skip to main content enterprise resources company pricing docs github 14 2k sign up sign up sign in sign in console console book a demo book a demo the agent cloud every agent gets a machine e2b runs the isolated machine your agent works on you ship the agent we run the infrastructure our cloud or yours start building start building talk to an engineer talk to an engineer setup for agents i4h2k9x us east 1 us east 1 e2b sandbox create ready i4h2k9x from snapshot agent plan build checkout agent write app page tsx 214 agent write checkout ts 86 agent bun test 14 passed 2 1s agent bun run build build ok 1 9s agent deploy i4h2k9x e2b app i4h2k9x e2b app checkout 48 32 48 total 128 pay now i4h2k9x e2b app checkout 48 32 48 total 128 pay now b7f2q running 4m test checkout flow x3n8d running 42m 418 96 1 2 502 88 377 104 0 9 91 reconcile q3 xlsx k9m1p running 8m def migrate db rows db scan billing for r in rows r normalize 8 412 rows migrated refactor billing t2w6r boot provisioning e5v0j done 1h04m draft contract q8c4y running 3h backtest momentum z1h7s boot provisioning queued awaiting task your vpc us east 1 private subnet 10 0 2 0 24 ingress 443 gate mtls egress blocked sealed microvm firecracker vsock no shared kernel 12 8 4 0 jan mar may jul sep 12 4 s p backtest results sharpe 1 84 max dd 4 2 win rate 61 3 trades 1 204 pnl 12 4 result verified booted from snapshot uptime 04 37 12 coding coding background background enterprise enterprise financial financial 100k teams on e2b 94 of the fortune 100 signed up top ai labs the fastest ai startups run here where e2b fits your agent is the product e2b is where it runs you bring the model prompts and agent logic e2b runs the machine underneath coding computer use background jobs rl rollouts one api an isolated microvm per session in our cloud or your aws gcp or azure account e2b cloud your cloud lifecycle network storage observability model calls out mcp tools out your data in secrets in your agents any agent any harness openai agents sdk claude code codex your own harness any agent coding data computer use evals rl e2b the boundary a full machine per agent session a microvm per session apache 2 0 runtime soc 2 type ii the sandbox boots from a snapshot shell filesystem browser network lifecycle sandbox pause network sandbox gethost port storage sandbox files write observability sandbox getmetrics through the boundary any model any tool your data your keys the sandbox reaches out under your egress policy never around it model calls anthropic openai open weights mcp tools 200 servers called from inside the sandbox your data buckets repos internal apis secrets env vars scoped per sandbox the cloud beneath our cloud or inside yours same sdk same api wherever it runs e2b cloud us eu apac your cloud aws gcp azure use cases build and train any agent agents that act use tools and write and run code in optimized environments turn prompts into running apps a prompt spins up coding sub agents builds the app then serves it live from e2b case study agents that work while the laptop is closed one sandbox keeps using browser cli and storage scaling compute on its own analysis your compliance team can approve ingest many sources run the analysis return a full report every customer isolated in your own cloud each customer s agent runs in its own microvm inside your aws gcp or azure account via byoc see e2b for enterprise sensitive data in report out nothing leaves genomes compounds and clinical data flow into secure compute a report comes out agents that use apps like a person a full desktop with screen mouse and keyboard the agent drives desktop apps streamed live case study desktop screenshot desktop left_click 436 124 desktop write q3 report desktop press enter xfce 1024 768 turn prompts into running apps a prompt spins up coding sub agents builds the app then serves it live from e2b case study agents that work while the laptop is closed one sandbox keeps using browser cli and storage scaling compute on its own analysis your compliance team can approve ingest many sources run the analysis return a full report every customer isolated in your own cloud each customer s agent runs in its own microvm inside your aws gcp or azure account via byoc see e2b for enterprise sensitive data in report out nothing leaves genomes compounds and clinical data flow into secure compute a report comes out agents that use apps like a person a full desktop with screen mouse and keyboard the agent drives desktop apps streamed live case study desktop screenshot desktop left_click 436 124 desktop write q3 report desktop press enter xfce 1024 768 turn prompts into running apps a prompt spins up coding sub agents builds the app then serves it live from e2b case study agents that work while the laptop is closed one sandbox keeps using browser cli and storage scaling compute on its own analysis your compliance team can approve ingest many sources run the analysis return a full report every customer isolated in your own cloud each customer s agent runs in its own microvm inside your aws gcp or azure account via byoc see e2b for enterprise sensitive data in report out nothing leaves genomes compounds and clinical data flow into secure compute a report comes out agents that use apps like a person a full desktop with screen mouse and keyboard the agent drives desktop apps streamed live case study desktop screenshot desktop left_click 436 124 desktop write q3 report desktop press enter xfce 1024 768 reinforcement learning thousands of machines spin up grade and clear fast labs under nda case study model world model agentic simulations run game sims to generate synthetic training data labs under nda agent evaluations outputs graded in parallel then scored agent benchmarks same prompt for every agent in the same machine graded side by side reinforcement learning thousands of machines spin up grade and clear fast labs under nda case study model world model agentic simulations run game sims to generate synthetic training data labs under nda agent evaluations outputs graded in parallel then scored agent benchmarks same prompt for every agent in the same machine graded side by side reinforcement learning thousands of machines spin up grade and clear fast labs under nda case study model world model agentic simulations run game sims to generate synthetic training data labs under nda agent evaluations outputs graded in parallel then scored agent benchmarks same prompt for every agent in the same machine graded side by side the machine everything your agent needs one isolated microvm per session with an api around it run code control the network keep files hold secrets watch it pause or fork it pty home user python train py steps 200 execution commands code a pty a full desktop learn more 3000 https 3000 sandbox_id e2b app 8080 https 8080 sandbox_id e2b app egress allow api openai com deny 0 0 0 0 0 network ingress and egress under your policy learn more home user app data sales csv report pdf written 2s ago plot png mnt buckets s3 acme data storage a filesystem that persists plus your buckets learn more cpu 71 00 00 00 30 01 00 observability metrics logs and signed webhooks learn more sandbox post v1 charges authorization stripe_key egress proxy post v1 charges authorization sk_live_ value never enters the sandbox secrets vault keys your agent can use but never read learn more run pause unbilled resume snapshot fork lifecycle pause resume snapshot fork learn more sandbox a full linux microvm per agent session every capability above is this one machine npm e2b pypi e2b code interpreter the sandbox plus runcode execute python or javascript get charts tables and images back npm e2b code interpreter pypi e2b code interpreter desktop use computer the sandbox plus a screen mouse keyboard and a live stream for computer use agents agent npm e2b desktop pypi e2b desktop deployment our cloud or yours same api one standard sandboxes run where your data is allowed to live same sdk cli and api everywhere moving is a config change e2b cloud available available managed by e2b nothing to host billed by the second free tier to start us eu and apac regions soc 2 type ii hipaa your application your customers e2b cloud your cloud one node sdk control plane sandboxes lifecycle metrics e2b cloud control plane sandboxes you connect via the sdk nothing to host your account e2b operates it aws gcp or azure sandboxes and data stay in your vpc your iam kms and audit logs the whole platform inside your boundary control plane in your account for air gapped and sovereign networks design partners welcome the whole e2b stack on one node ship it inside your product or a customer tenancy docker compose terraform on aws or gcp or kubernetes open source apache 2 0 byoc available available private cloud in development in development e2b embed available available the runtime is apache 2 0 run the full stack on one node with e2b embed on your infrastructure or your customer s see e2b for enterprise see e2b for enterprise your application your customers e2b cloud your cloud one node sdk control plane sandboxes lifecycle metrics e2b cloud control plane sandboxes you connect via the sdk nothing to host security full isolation container speed every sandbox runs on e2b s proprietary microvm runtime built on firecracker with dedicated kernels and a custom memory and snapshot layer it safely runs untrusted agentic workloads across tens of thousands of parallel sessions battle tested across 1b sandboxes microvms come standard e2b is soc 2 type ii and hipaa compliant visit the trust center visit the trust center vms are slow to start ours boot from a snapshot so every session gets its own kernel at container speed agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here agents in production run here e2b by the numbers 94 of the fortune 100 signed up 100k teams on e2b 1b sandboxes started 10m monthly sdk downloads customers in their words e2b allows us to scale out training runs by launching hundreds of sandboxes in our experiments which was essential in open r1 lewis tunstall research engineer read the case study read the case study manus doesn t just run some pieces of code it uses 27 different tools and it needs e2b to have a full virtual computer to work as a real human tao zhang co founder read the case study read the case study e2b gives us a fast secure way to run ai generated code at scale so we can ship workflow automation our enterprise customers trust rahul behal co founder read the case study read the case study we had implemented e2b in a week needing just a single engineer working on that in spare cycles building this in house would take us a few weeks and require multiple people luiz scheidegger head of engineering read the case study read the case study works with any agent stack start with a ready to run template or bring the sdks and frameworks you already use e2b provides the isolated machine underneath pre built templates amp claude code codex cursor agents hermes agent droid devin opencode opencode try live pi prime agent grok build openclaw computer use k3s code interpreter kernel browser muse code terminal bench devin outposts docs e2b dev create your own sdks and frameworks crewai agno mastra claude managed agents sdk openai agents sdk google adk langchain deep agents open swe crabbox vercel ai sdk eve flue crewai agno mastra claude managed agents sdk openai agents sdk google adk langchain deep agents open swe crabbox vercel ai sdk eve flue crewai agno mastra claude managed agents sdk openai agents sdk google adk langchain deep agents open swe crabbox vercel ai sdk eve flue open source open at the core the runtime your agents run on is apache 2 0 readable self hostable and the base of some of the most used projects in the oss agent ecosystem the only open source hosted microvm sandbox platform explore our open source explore our open source star on github github 14 2k github stars star on github github 14 2k github stars e2b dev e2b 14 2k e2b dev fragments 6 4k e2b dev code interpreter 2 4k e2b dev desktop 1 5k e2b dev runtime 1 7k e2b dev surf 872 e2b dev e2b 14 2k e2b dev fragments 6 4k e2b dev code interpreter 2 4k e2b dev desktop 1 5k e2b dev runtime 1 7k e2b dev surf 872 the e2b stack on github apache 2 0 pricing free to start billed by the second hobby free 100 of usage in credits usage costs see our cost calculator 100 one time usage credit sessions up to 1 hour 20 concurrent sandboxes default sandbox cpu and ram start for free start for free no credit card required pro 150 month usage costs see our cost calculator everything in hobby usage billed by the second sessions up to 24 hours 100 concurrent sandboxes expandable to 1 100 custom sandbox cpu and ram choose pro choose pro s billed through stripe enterprise custom usage costs see our cost calculator committed usage custom billing multi day and persistent sessions tens of thousands of concurrent sandboxes custom sizes plus byoc deployment talk to an engineer talk to an engineer custom deployment and billing explore pricing explore pricing 1b sandboxes started give every agent a machine start building start building talk to an engineer talk to an engineer pip install e2b npm i e2b free tier follow us on github x linkedin discord soc 2 soc 2 hipaa hipaa trust center company about careers contact security brand assets resources all resources blog case studies cookbook docs e2b for research e2b for startups open source product updates system dark light 2026 foundrylabs inc dba e2b all rights reserved all systems operational privacy terms security
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