Sandboxed cloud execution infrastructure for AI agents to safely run code in under 90ms, across Python, TypeScript, Go, Ruby and Java.
Best alternatives to E2B in 2026
When an AI assistant writes code and then needs to actually run it — to check it works, plot a chart, or process a file — that code has to execute somewhere. Running untrusted, AI-generated code directly on your own computer or servers is risky: a bug or a bad instruction could delete files or make unwanted network calls. E2B is a disposable, locked-down computer in the cloud that spins up in a fraction of a second, runs that code safely away from anything important, and then disappears. E2B provides secure, ephemeral cloud sandboxes built on Firecracker microVMs — the same lightweight virtualization technology AWS Lambda uses — with sandbox startup times under 200 milliseconds. It ships Python and TypeScript SDKs, supports session durations up to 24 hours on paid tiers, and gives sandboxes real internet access and a terminal, which is what lets an AI agent actually browse, install packages, and interact with tools instead of running in total isolation. The core SDK is open source, and E2B also offers bring-your-own-cloud, on-premises and self-hosted deployment options for teams with stricter compliance needs. Pricing starts free with $100 in usage credits, moves to a Pro plan at $150/month plus usage, and scales to custom Enterprise pricing.
Quick comparison of E2B alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Teams building AI coding agents, LLM code interpreters, or automation platforms that need to safely execute AI-generated code | Companies building data-analysis or automation copilots | — | |
| 2 | AI/ML engineers | Data scientists | Platform teams | — | |
| 3 | Développeurs | — | |
| 4 | Therapists, psychologists, and small mental-health practices looking to cut down on session documentation time. | — | |
| 5 | Developers building AI agents, assistants, or multi-tool workflows that need memory to persist and be shared across platforms. | — | |
| 6 | Developers and small-to-mid-size businesses seeking managed AI agent deployment without infrastructure management | — | |
| 7 | Enterprise and mid-market support teams using Freshdesk, Zendesk, Salesforce, or HubSpot; SaaS companies and e-commerce platforms managing high ticket volumes | — | |
| 8 | Développeurs et équipes utilisant des agents de codage IA ayant besoin de contexte factuel sur leur base de code | — | |
| 9 | Développeurs et utilisateurs individuels voulant un assistant IA local, sous leur contrôle total | — | |
| 10 | Chercheurs et ingénieurs en machine learning ayant besoin d'interpréter le comportement interne de leurs modèles | — | |
| 11 | Chercheurs biomédicaux, cliniciens et praticiens de la synthèse de preuves | — | |
| 12 | Équipes coordonnant plusieurs agents IA sur différents outils de collaboration | — |
- ✓ Sub-90ms sandbox creation, purpose-built for agentic code-execution workflows
- ✓ Open source (AGPL) with a large, active GitHub community (72k+ stars)
Serverless cloud platform that runs Python code, including AI model training and inference, on GPUs with sub-second startup and pay-per-second billing.
- ✓ Sub-second cold starts even for large GPU-backed containers
- ✓ Pay-per-second, zero charge for idle compute
An AI assistant for therapists that listens to a session (in person or on a video call), transcribes it, and writes the clinical note afterward so the therapist doesn't have to.
- ✓ Ambient transcription frees the therapist to focus on the client
- ✓ Automated SOAP notes cut post-session admin time
A shared memory service for AI assistants and agents — it remembers facts and context from your conversations across tools like Claude, ChatGPT, and Cursor, instead of each tool starting from zero every time.
- ✓ Shares memory across many AI tools instead of siloing it per-app
- ✓ Structured, source-linked memories with real audit trail
Managed hosting for persistent AI agent bots — isolated runtime, memory, missions, and integrations (GitHub, Slack, Sentry, MCP) so you can hire an AI worker instead of running your own agent infrastructure.
- ✓ No server or infrastructure setup required to run persistent AI agents
- ✓ Workspace-level approval and credential controls limit blast radius of autonomous actions
AI agent that resolves support tickets automatically on top of Zendesk, Freshdesk, Salesforce or HubSpot, building its own knowledge base and escalating tricky cases to humans, billed per resolution instead of per seat.
- ✓ Layers on top of Zendesk, Freshdesk, Salesforce or HubSpot without forcing a helpdesk migration
- ✓ Per-resolution pricing avoids paying for idle seats or unused agent licenses
A knowledge-graph memory layer that gives AI coding agents persistent, factual context about your codebase, tickets, and docs — without another hosted service.
- ✓ Real knowledge graph of ownership and dependencies, not just vector search
- ✓ Self-hosted, data in your own database — no mandatory hosted service
A local-first AI assistant that runs entirely on your machine, remembers context across apps and devices, and only acts with your explicit approval.
- ✓ Runs entirely on your own machine — no data sent to a third party by default
- ✓ Multi-layer memory (working context, episodic, semantic graph, execution history)
A local-first debugging tool that visualizes what's happening inside an AI model — attention, features, and agent steps — without cloud infrastructure.
- ✓ Covers language models, VLMs, and robot policies in one tool
- ✓ Attention visualization, SAE feature exploration, and agent-step tracing combined
An open-source agentic RAG system that searches 12 biomedical databases and produces a source-cited synthesis of the evidence.
- ✓ Searches 12 biomedical databases plus citation networks
- ✓ Citation verification step specifically prevents hallucinated references
An open-source, self-hostable platform for coordinating multiple AI agents across Slack, Discord, GitHub, and other tools in shared conversations.
- ✓ Coordinates multiple AI agents across Slack, Discord, GitHub, GitLab, Telegram, Lark
- ✓ Provider-agnostic — works with Claude, OpenAI, Grok, DeepSeek, and more
FAQ about E2B alternatives
- What is the best alternative to E2B in 2026?
- Based on our selection, Daytona is the best alternative to E2B in 2026. Sandboxed cloud execution infrastructure for AI agents to safely run code in under 90ms, across Python, TypeScript, Go, Ruby and Java.. See our full ranking above to compare all options.
- Is E2B free?
- E2B is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to E2B are there?
- mySelectas has listed 12 alternatives to E2B in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.