E2B
Provides secure, real-world tool environments for developers building enterprise-grade AI agents.
Similar agents · November 2026
Agents that do similar work to E2B. E2B is listed first for reference. 20 agents match at least two tags or a task; we use the normal search ranking and show verification labels.
Provides secure, real-world tool environments for developers building enterprise-grade AI agents.
A developer toolkit for building, evaluating, and deploying LLM applications.
A TypeScript framework for developers building and deploying MCP servers and AI-native apps.
Build and orchestrate AI agents for developers and teams using TypeScript or a visual interface.
A developer platform for building, deploying, and coordinating AI agents across their lifecycle.
A Python toolkit for developers to build, evaluate, and deploy AI agents.
Builds complete local applications for developers who want an AI-powered software team on their own hardware.
A developer example for exposing Salesforce Agentforce agents through A2A with Heroku-powered orchestration.
Provides secure code sandboxes for developers building apps and AI agents.
An open-source framework for developers training and improving AI agents with reinforcement learning.
A self-hostable agent platform for teams to build, deploy, and coordinate always-on company agents.
A monorepo platform for developers and AI agents that speeds up builds and CI.
A desktop hub for developers to manage and extend AI coding agents across multiple tools.
A local model gateway for developers managing coding agents, providers, routing, and tools.
A developer skill that helps AI coding agents produce simpler code and test risky logic.
A developer framework for building, debugging, serving, and optimizing LLM agents.
An open-source LLM runtime for developers building and orchestrating language-model applications.
Runs private, GPU-accelerated AI agent fleets for developers and teams.
A developer framework that evolves and optimizes AI agents, workflows, and algorithms.
Asynchronous reinforcement-learning infrastructure for developers and researchers building agentic models.
A developer CLI for discovering, testing, and managing tools on MCP-compatible servers.
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