E2B is built for AI/ML engineers building agent-powered SaaS products, Enterprise AI platform teams requiring secure, scalable code execution, Data scientists integrating LLM-driven analysis and visualization, AI researchers running reinforcement learning experiments at scale. Common use cases include AI coding agents that execute, debug, and iterate on code; Deep research agents conducting multi-step data retrieval and analysis; AI data analysis and chart/visualization generation.

Free Hobby tier includes a one-time $100 usage credit, community support, sandbox sessions up to 1 hour, and up to 20 concurrent sandboxes (no credit card required). Pro plan is $150/month and adds 24-hour session lengths, up to 100 concurrent sandboxes (expandable to 1,100), and customizable CPU and RAM. Enterprise tier offers custom pricing with BYOC, on-prem, and self-hosted options. Usage is billed per second: 2 vCPU (default) costs $0.000028/s (~$0.10/hour); RAM is $0.0000045/GiB/s. Storage is free up to 10 GiB (Hobby) or 20 GiB (Pro).

What are the alternatives to E2B?

Common AI Code Sandboxes & Agent Runtimes alternatives to E2B include Modal, Northflank, Daytona, Cloudflare, Fly.io. See the full comparison hub at /verticals/ai-code-sandboxes-agent-runtimes/compare.

What do users praise about E2B?

Users frequently praise: Best-in-class Python and TypeScript SDK quality; Fast sandbox startup (~150ms, no cold starts); Strong Firecracker microVM security/isolation; Easy integration (often described as a few hours to one week); Active open-source community and responsive engineering team; LLM-agnostic and framework-flexible; Extensive cookbook examples and documentation.

What are common complaints about E2B?

Frequently cited limitations: Session duration limits (1h Hobby, 24h Pro) disruptive for long-running agents; Strict concurrency caps require paid add-ons at scale; BYOC immature; self-hosting requires managing E2B infra independently; Limited regional/infrastructure flexibility on managed tier; No native GPU support; Pricing adds up at high sandbox volume; Lack of built-in long-session orchestration compared to workspace-first platforms.

When was E2B founded and where?

E2B was founded in 2023, headquartered in San Francisco, CA / Czech Republic (dual presence) by Vasek Mlejnsky, Tomas Valenta.

E2B reports 28-30 employees, 88% of Fortune 100 signed up; used acros customers.

AI visibility report

E2B ranks #5 in AI Code Sandboxes & Agent Runtimes AI search.

Outside the top three on 16 of the 25 prompts buyers actually ask.

Modal is cited on 15 of those losses.

25 prompts

6 platforms

Updated Aug 15, 2026 - refreshed weekly

Track E2B daily

Free trial. Setup comes pre-filled for E2B.

Track E2B across these prompts daily.

Start free trial

8percent

Presence Rate

Low presence

#5 among 10 vendors · still absent from 92% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.62

Sentiment

-1.00.0+1.0

Very positive

#5of 10

Peer Ranking

#1#10

Mid-packin AI Code Sandboxes & Agent Runtimes

Key Metrics

Presence Rate

8.0%

Share of Voice

6.8%

Avg Position

#2.5

Docs Presence

6.0%

Blog Presence

0.0%

Brand Mentions

56.0%

Platform Breakdown

ChatGPT

36%9/25 prompts

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

E2B (FoundryLabs, Inc.) is an open-source cloud infrastructure platform providing secure, isolated sandbox environments purpose-built for AI agents and LLM-powered applications. Founded in 2023 by Vasek Mlejnsky and Tomas Valenta, E2B uses Firecracker microVMs to spin up fully isolated Linux environments in under 200 milliseconds. Its Python and JavaScript/TypeScript SDKs allow developers to integrate sandbox-based code execution into any LLM or AI framework with minimal setup. Core use cases include AI coding agents, deep research, data analysis and visualization, computer use, reinforcement learning, and vibe coding. Trusted by approximately 88% of Fortune 100 companies—including Perplexity, Hugging Face, Groq, and Manus—the platform has processed over 500 million sandboxes and sees 2 million+ monthly downloads. E2B raised a $21M Series A in July 2025 (total ~$32M), led by Insight Partners.

AI visibility report

E2B ranks #5 in AI Code Sandboxes & Agent Runtimes AI search.

Outside the top three on 16 of the 25 prompts buyers actually ask.

Modal is cited on 15 of those losses.

25 prompts

6 platforms

Updated Aug 15, 2026 - refreshed weekly

Track E2B daily

Free trial. Setup comes pre-filled for E2B.

Track E2B across these prompts daily.

Start free trial

8percent

Presence Rate

Low presence

#5 among 10 vendors · still absent from 92% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.62

Sentiment

-1.00.0+1.0

Very positive

#5of 10

Peer Ranking

#1#10

Mid-packin AI Code Sandboxes & Agent Runtimes

Key Metrics

Presence Rate

8.0%

Share of Voice

6.8%

Avg Position

#2.5

Docs Presence

6.0%

Blog Presence

0.0%

Brand Mentions

56.0%

Platform Breakdown

ChatGPT

36%9/25 prompts

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

Praised

Best-in-class Python and TypeScript SDK quality
Fast sandbox startup (~150ms, no cold starts)
Strong Firecracker microVM security/isolation
Easy integration (often described as a few hours to one week)
Active open-source community and responsive engineering team
LLM-agnostic and framework-flexible
Extensive cookbook examples and documentation

Criticized

Session duration limits (1h Hobby, 24h Pro) disruptive for long-running agents
Strict concurrency caps require paid add-ons at scale
BYOC immature; self-hosting requires managing E2B infra independently
Limited regional/infrastructure flexibility on managed tier
No native GPU support
Pricing adds up at high sandbox volume
Lack of built-in long-session orchestration compared to workspace-first platforms

No verifiable scores on major review platforms (G2, Gartner Peer Insights) were found as of this research. Developer sentiment gathered from third-party comparison articles and community discussion is broadly positive: E2B is consistently cited as the category pioneer with the best developer experience and SDK quality among AI sandbox runtimes. Common criticisms focus on session timeout constraints, concurrency limits at scale, and BYOC maturity relative to alternatives like Northflank.

Prompt	Google AI Mode	ChatGPT	Perplexity	Gemini Search	Bing Copilot	Grok
Capability3/5 cited (60%)
What are the best isolated runtime options for AI agents that need persistent filesystem state across multiple execution steps in a single session?	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited
Looking for a sandboxed code interpreter that can handle long-running jobs — 10 to 30 minutes — without hitting timeout limits. What are my options?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Modal	44.7%	40.2%	10.7%	0.7%	59.3%	#4.3	+0.39
2	Northflank	40.0%	33.9%	0.0%	40.0%	33.3%	#4.0	+0.33
3	Daytona	12.0%	9.8%	10.7%	1.3%	42.0%	#3.5	+0.67
4	Cloudflare	8.7%	6.6%	6.7%	0.0%	18.7%	#5.4	+0.52
5	E2B	8.0%	6.8%	6.0%	0.0%	56.0%	#2.5	+0.62
6	Fly.io	2.0%	0.8%	1.3%	0.0%	9.3%	#3.0	+0.27
7	CodeSandbox	1.3%	1.1%	0.0%	0.0%	4.0%	#3.3	+0.00
8	Runloop	1.3%	0.8%	1.3%	0.0%	2.7%	#10.3	+0.80
9	Morph	0.0%	0.0%	0.0%	0.0%	0.0%	—	—
10	Together AI	0.0%	0.0%	0.0%	0.0%	0.7%	—	—

Developer Experience2/5 cited (40%)
Which agent compute platforms have the most active developer communities and solid docs for teams just getting into agentic AI workflows?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem2/5 cited (40%)
What sandboxed execution environments have good support for streaming output back to the calling application in real time during an agent's code run?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability2/5 cited (40%)
Which microVM sandbox services have the lowest cold-start latency for AI agent code execution at scale — sub-500ms range?	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

E2B ranks #5 in AI Code Sandboxes & Agent Runtimes AI search.

Key Metrics

Platform Breakdown

Overview

E2B ranks #5 in AI Code Sandboxes & Agent Runtimes AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and E2B is not.

Where E2B is winning5

Where E2B is losing5

Key Facts

Key Capabilities10

Key Use Cases8

E2B customer outcomes

Recent Trend

How AI describes E2B3

Most cited sources8

Alternatives in AI Code Sandboxes & Agent Runtimes6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run2/5 cited (40%)
I'm evaluating sandboxed agent runtimes for a small team building an AI data analyst tool — what should I look at to avoid the overhead of self-hosting?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Your brand and a competitor were cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

E2B ranks #5 in AI Code Sandboxes & Agent Runtimes AI search.

Key Metrics

Platform Breakdown

Overview

E2B ranks #5 in AI Code Sandboxes & Agent Runtimes AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and E2B is not.

Where E2B is winning5

Where E2B is losing5

Key Facts

Key Capabilities10

Key Use Cases8

E2B customer outcomes

Recent Trend

How AI describes E2B3

Most cited sources8

Alternatives in AI Code Sandboxes & Agent Runtimes6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does E2B do?

Who is E2B best for?

How is E2B priced?

What are the alternatives to E2B?

What do users praise about E2B?

What are common complaints about E2B?

When was E2B founded and where?

How big is E2B?