AgentIndex icon
AgentIndex
E2B logo
E2B
★ 14.5k
vs
sema logo
sema
★ 54

E2B vs sema

E2B: E2B is an open-source infrastructure that enables running AI-generated code securely in isolated cloud sandboxes. It provides JavaScript and Python SDKs to start and control these sandboxes for AI applications.; sema: Sema is a Lisp dialect that integrates LLM agents as core language primitives, providing a robust runtime that handles common agent scaffolding like retries, caching, and tool dispatch. It compiles to a fast bytecode VM, allowing LLM-powered scripts to be concise, shipped as single binaries, and easily understood by coding agents.

01

TL;DR

E2B logo
E2BLLM Infra · ★ 14.5k

Executing code generated by large language models (LLMs)

Read E2B full review →
sema logo
semaLLM Infra · ★ 54

Building full coding agents with file editing, search, and shell tools.

Read sema full review →
02

Side-by-Side Comparison

Field
E2B logoE2B
sema logosema
Category
LLM Infra
LLM Infra
Stars
★ 14.5k
★ 54
License
Apache-2.0
MIT
Install Command
pip install e2b
curl -fsSL https://sema-lang.com/install.sh | sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Code Generation, Sandboxing, SDK
Lisp, LLM Agents, Bytecode VM
03

Features

E2B logoE2B
01Open-source infrastructure for AI code execution
02Secure isolated cloud sandboxes
03Execute AI-generated code safely
04Available with JavaScript and Python SDKs
05Self-hosting capabilities on major cloud providers
sema logosema
01LLMs as language primitives: Prompts, messages, conversations, tools, and agents are first-class data types.
02Multi-provider support: Seamlessly swap between various LLM providers like Anthropic, OpenAI, Gemini, and custom ones.
03Integrated agent runtime: Handles common scaffolding like retries, caching, rate limits, and tool dispatch automatically.
04Full developer toolchain: Includes a formatter, language server (LSP), debugger (DAP), and an MCP server.
05Standalone executables: Compile Sema programs into self-contained binaries with auto-traced imports.
04

Use Cases

E2B logoE2B
↳Executing code generated by large language models (LLMs)
↳Integrating secure code execution into AI applications
↳Developing AI agents that require isolated runtime environments
sema logosema
↳Building full coding agents with file editing, search, and shell tools.
↳AI-powered code review for git diffs and generating conventional commit messages.
↳Structured data extraction, classification, and multi-modal chat from text and images.
↳Implementing RAG (Retrieval-Augmented Generation) with in-memory vector stores and cross-encoder reranking.
↳Developing general-purpose applications with Lisp features, HTTP, JSON, and file I/O.
05

Best For

E2B logoE2B
Most PopularEssentialTrending
sema logosema
—
FAQ

FAQ

What is the difference between E2B and sema?
Both E2B and sema are in the LLM Infra category. E2B has 14.5k stars, while sema has 54 stars.
Which is better, E2B or sema?
The best choice depends on your use case. Choose E2B if Executing code generated by large language models (LLMs), and sema if Building full coding agents with file editing, search, and shell tools..
Is E2B free or open source?
Yes, E2B is open source on GitHub (Apache-2.0).
Is sema free or open source?
Yes, sema is open source on GitHub (MIT).
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Alternatives to E2B →Alternatives to sema →E2B details →sema details →