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E2B Agents

E2B

83·Strong

Overall Trust Score

Secure cloud runtime for AI agents with code interpreter capabilities. Provides sandboxed environments for executing agent-generated code safely, with support for multiple programming languages and pre-built integrations.

sandbox
code-execution
Version: Cloud SDK
Last Evaluated: November 9, 2025
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Trust Vector

Performance & Reliability

81
code execution
88
Methodology
Code execution testing
Evidence
E2B Documentation
Fast, reliable code execution in sandboxed environments
Date: 2024-10-20
Confidence: highLast verified: 2025-11-09
sandbox isolation
92
Methodology
Isolation testing
Evidence
Sandbox Security
Secure isolated environments for each agent execution
Date: 2024-10-15
Confidence: highLast verified: 2025-11-09
multi language support
85
Methodology
Language capability testing
Evidence
Language Support
Supports Python, JavaScript, and custom environments
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
startup latency
76
Methodology
Latency testing
Evidence
Performance
Cold start can take 1-3s, warm sandboxes are faster
Date: 2024-09-20
Confidence: mediumLast verified: 2025-11-09
file system support
84
Methodology
File operations testing
Evidence
Filesystem
Full filesystem access within sandbox
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
latency
Value: 50-500ms (warm), 1-3s (cold start)
Methodology
Performance benchmarking
Evidence
Performance Metrics
Fast execution with optimized infrastructure
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09

Security

89
sandbox security
95
Methodology
Security architecture review
Evidence
Security Model
Firecracker microVMs for strong isolation
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
network isolation
90
Methodology
Network security testing
Evidence
Network Controls
Configurable network access and restrictions
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
code sandboxing
94
Methodology
Sandbox security testing
Evidence
Sandboxing
Industry-leading code execution sandboxing
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
api authentication
88
Methodology
Authentication testing
Evidence
API Security
API key authentication with team management
Date: 2024-09-15
Confidence: highLast verified: 2025-11-09
data encryption
86
Methodology
Encryption assessment
Evidence
Encryption
TLS encryption for API and sandbox communication
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09

Privacy & Compliance

80
data retention
82
Methodology
Privacy architecture review
Evidence
Data Policy
Sandboxes are ephemeral, data cleared after session
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
gdpr compliance
79
Methodology
Compliance capabilities assessment
Evidence
Compliance
GDPR considerations for cloud-hosted sandboxes
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
ephemeral environments
90
Methodology
Data lifecycle assessment
Evidence
Sandbox Lifecycle
Sandboxes automatically destroyed after use
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
code privacy
76
Methodology
Code privacy assessment
Evidence
Privacy
Code executed in cloud, not stored long-term
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
audit logging
75
Methodology
Logging assessment
Evidence
Logging
Basic execution logs available
Date: 2024-09-20
Confidence: mediumLast verified: 2025-11-09

Trust & Transparency

83
documentation quality
88
Methodology
Documentation completeness review
Evidence
E2B Docs
Excellent documentation with examples and guides
Date: 2024-10-20
Confidence: highLast verified: 2025-11-09
sdk support
86
Methodology
SDK assessment
Evidence
SDKs
Python and JavaScript SDKs with TypeScript support
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
open sdk
84
Methodology
Open source assessment
Evidence
GitHub
Open source SDKs and examples
Date: 2024-10-15
Confidence: highLast verified: 2025-11-09
execution visibility
80
Methodology
Traceability assessment
Evidence
Logging
Sandbox execution logs and output capture
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
community examples
78
Methodology
Community resources assessment
Evidence
Examples
Growing collection of agent examples and templates
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09

Operational Excellence

82
ease of integration
87
Methodology
Integration complexity assessment
Evidence
SDK Integration
Simple SDK integration with major agent frameworks
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
scalability
85
Methodology
Scalability testing
Evidence
Infrastructure
Cloud infrastructure scales automatically
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
cost predictability
78
Methodology
Pricing model analysis
Evidence
Pricing
Usage-based pricing, free tier available
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
monitoring
80
Methodology
Monitoring features assessment
Evidence
Monitoring
Dashboard for usage monitoring
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
framework integrations
88
Methodology
Integration ecosystem assessment
Evidence
Integrations
Pre-built integrations with LangChain, AutoGPT, AgentGPT
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09
uptime
84
Methodology
Uptime monitoring
Evidence
Reliability
Cloud infrastructure with good uptime
Date: 2024-10-01
Confidence: highLast verified: 2025-11-09

✨ Strengths

  • •Industry-leading code execution sandboxing with Firecracker microVMs
  • •Fast execution with warm sandbox pooling (50-500ms)
  • •Pre-built integrations with major agent frameworks
  • •Excellent documentation and SDK support (Python, JavaScript)
  • •Ephemeral environments for strong privacy and security
  • •Multi-language support (Python, JavaScript, custom)

⚠️ Limitations

  • •Cloud-only, no self-hosting option currently
  • •Usage-based pricing can be unpredictable for high-volume use
  • •Cold start latency (1-3s) can impact performance
  • •Limited to code execution use cases
  • •Newer service with less production track record
  • •Network restrictions may limit some agent capabilities

📊 Metadata

license: Proprietary (SDKs are Apache 2.0)
supported models:
0: Works with any LLM via agent frameworks
programming languages:
0: Python
1: JavaScript
2: TypeScript
3: Custom environments
deployment type: Managed cloud service
tool support:
0: Agent framework integrations
1: Custom code execution
pricing model: Free tier + usage-based pricing
sandbox technology: Firecracker microVMs
supported frameworks:
0: LangChain
1: AutoGPT
2: AgentGPT
3: Custom
github org: https://github.com/e2b-dev
pricing: Free tier available, Paid plans from $150/month + usage

Use Case Ratings

customer support

74

Good for support agents that need code execution

code generation

94

Excellent for safe code execution and testing

research assistant

79

Good for data analysis and research automation

data analysis

90

Excellent for data science agents with code execution

content creation

72

Can support code-based content generation

education

88

Excellent for coding education and tutoring agents

healthcare

76

Can support clinical data analysis with proper setup

financial analysis

78

Sandboxing useful for financial modeling agents

legal compliance

75

Can support document processing with code

creative writing

70

Limited for creative tasks without code needs