E2B provides secure, fast cloud sandboxes for AI agents, letting agents safely write and run code, browse and operate full desktop environments.
Agents that execute code need isolation that starts in milliseconds and scales to thousands of concurrent runs. E2B delivers exactly that: firecracker-based sandboxes with filesystems, terminals and even full desktop GUIs, exposed through simple SDKs that agent frameworks plug into.
E2B is used for code interpreters, data analysis agents, computer-use agents and evaluation harnesses. Templates let you pre-bake environments with your dependencies, sandboxes persist state across steps, and the platform handles orchestration so teams can focus on agent logic instead of infrastructure. Persistent sandboxes let agents hold state across long tasks, and desktop environments enable computer-use scenarios beyond code execution. Templates dramatically shorten setup time for specialized runtimes like data science stacks.
E2B offers a free tier with sandbox hours for development and small projects. Paid plans scale on compute usage and session duration, with enterprise options for dedicated capacity, private networking and support. Free sandbox hours support real prototypes, and usage-based pricing keeps costs tightly coupled to actual compute consumed.
E2B is for developers building agents that execute code or use computers, including data analysis, coding and computer-use agents. It suits startups and enterprises that need secure execution without building sandbox infrastructure. It also serves evaluation teams running thousands of isolated test environments in parallel for benchmarking agents.
Yes, the free tier includes sandbox usage sufficient for prototyping and small products. Sustained or high-parallelism workloads move to usage-based paid plans.
Yes, E2B is API-first: sandboxes are created, controlled and destroyed programmatically, with SDKs and REST endpoints for any stack.
E2B is more focused than general compute platforms: it is purpose-built for agent workloads with fast starts and agent-friendly primitives. Versus running agents in containers yourself, E2B removes an enormous amount of operational work. E2B removes the infrastructure burden of secure agent execution, letting teams compete on agent quality instead of sandbox engineering. General compute platforms can run agent code too, but E2B’s fast starts, persistence and desktop support remove weeks of infrastructure work that every team would otherwise repeat independently.
Supabase is an open-source Firebase alternative built on Postgres, providing database, auth, storage, and real-time APIs for developers. OverviewSupabase gives developers a…
Groq runs open models at record-breaking speed on its custom LPU inference chips, delivering the fastest token throughput available for AI applications…
Mem0 is a universal memory layer for AI agents and assistants, giving applications persistent, personalized memory that improves every interaction.OverviewMem0 sits between…