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Ephemeral Sandbox, published by Ephemeral AI Lab and currently at version 0.1.4 (with one version recorded in the catalog), is open-source agent sandbox infrastructure designed for running parallel coding agents, and it belongs to the category of developer tooling and multi-agent orchestration infrastructure. Its purpose is to let teams run multiple coding agents safely against a single codebase without giving every agent access to the same writable checkout. Instead, it creates a private copy-on-write workspace session for each agent over a shared, immutable LayerStack, so concurrent agents can work in isolation rather than competing over a common working tree. Commands run inside a holder-owned Linux namespace, which means the session's filesystem and process boundary persist across operations, giving each agent a stable and contained execution environment. When work is ready, the system compares the session with the latest shared head, resolves changes path by path, and publishes one atomic layer, or publishes nothing at all if the change set cannot be accepted, providing a defined promotion path that protects the integrity of the shared codebase. This all-or-nothing publishing model is particularly relevant for teams that need predictable, auditable merging of agent-generated work rather than ad hoc, partially applied edits. For operational visibility, Ephemeral Sandbox lets operators inspect commands, file activity, resource use, and line provenance through dedicated CLI, MCP, and observability interfaces, supporting auditability alongside isolation. Typical use cases include local and Docker-backed multi-agent workflows that require parallel execution with isolation, traceability of what each agent did and why, and a controlled route for promoting agent changes into a shared head. As open-source infrastructure, it is aimed at engineering teams building or operating coding-agent fleets who need reproducible sandbox sessions, path-level conflict resolution, atomic publication of accepted change sets, and inspection tooling across the full lifecycle of agent work.
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