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    kubernetes-sigs

    kubernetes-sigs/agent-sandbox

    agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

    ai-agents
    agent
    ai
    kubernetes
    rl
    sandbox
    Go
    Apache-2.0
    4.4K stars
    587 forks
    4.4K GitHub watchers
    Updated Oct 29, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 6 days ago, with 176 contributors on GitHub.

    The biggest single-day gain in the last year, +95 stars on Sep 17, coincided with release v1.0.3.

    Use Cases & Benefits

    • agent-sandbox manages isolated, stateful, singleton workloads with stable identity and persistent storage, ideal for AI agent runtimes and development environments.
    • Built in Go, it provides a Kubernetes CRD and controller with features like lifecycle management, sandbox templates, claims, and warm pools for fast provisioning.
    • Strengths include strong isolation, deep hibernation, automatic resume, and programmable API; limitations may arise from runtime dependency and early-stage ecosystem maturity.
    • Organizations can use it in production to run secure, persistent single-pod services, AI workloads, or developer sandboxes with Kubernetes-native management and lifecycle control.
    • Ideal use cases are AI agent runtimes, isolated development environments, single-instance stateful services, and persistent notebook or research tool sessions.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes.

    This project is developing a Sandbox Custom Resource Definition (CRD) and controller for Kubernetes, under the umbrella of SIG Apps. The goal is to provide a declarative, standardized API for managing workloads that require the characteristics of a long-running, stateful, singleton container with a stable identity, much like a lightweight, single-container VM experience built on Kubernetes primitives.

    The Sandbox CRD is the core of agent-sandbox. It provides a declarative API for managing a single, stateful pod with a stable identity and persistent storage. This is useful for workloads that don't fit well into the stateless, replicated model of Deployments or the numbered, stable model of StatefulSets.

    Excerpt from the kubernetes-sigs/agent-sandbox README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 5: +27Aug 6: +11Aug 15: +6Aug 27: +20Aug 28: +9Sep 2: +6Sep 11: +6Sep 16: +27Sep 17: +95Sep 18: -70Sep 19: +13Sep 20: +12Sep 21: +14Sep 22: +13Sep 23: +9Oct 2: +20Oct 3: +2Oct 8: +7

    +1,052 stars over 86 days across 28 snapshot days; best day +95 on Sep 17.

    Forks

    587+157

    Open issues

    175-65

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    View category →
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