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项目与实践
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EmDash 1.0 separates plugin catalogs from publishing EmDash 1.0 separates author identity, signed releases, plugin discovery, and runtime permissions. Installers verify records independently.
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OpenShell enforces agent permissions outside the workload NVIDIA OpenShell places sandbox, network, credential, and policy controls outside the agent workload, with a Supervisor enforcing permission boundaries.
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MentraOS runs Miniapps on phones for multiple glasses MentraOS runs Miniapps in a phone runtime, sharing a connection to manage input, output, hardware capabilities, and permissions across smart glasses.
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Company Brain separates team memory permissions Company Brain scopes team-agent memory by room and user permissions, with personal authorization, traceable sources, and separate tool-write access.
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Jev-Code-Reviewer prioritizes large PRs as P0/P1/P2 Jev-Code-Reviewer prioritizes PR changes, expands P0 by default, and retains the original diff and fallback paths so reviewers see key changes first.
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GitHub Security Lab makes fuzzing an agent feedback loop GitHub Security Lab Fuzzing Taskflow uses coverage gaps to guide model decisions while deterministic tools execute, measure, and persist results.
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Link CLI lets agents pay without real card numbers Stripe Link CLI separates purchase intent from payment permission. Agents request a purchase and receive one-time credentials only after user approval.
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LobsterAI: send tasks by phone, run them on your desktop LobsterAI connects phone messages to a local desktop agent. The phone handles tasks and approvals while the computer works with files, terminals, and browsers.
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json-render constrains UI with a component catalog Vercel Labs json-render defines components, actions, and data bindings before generating schema-constrained JSON that can be checked and replayed.
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A Minecraft agent separates planning from fast decisions This Minecraft agent uses Astra for slow planning, JEV for frequent action selection, and Mineflayer for execution, with logs and scripts to verify runs.
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OpenCloak: replace personal data before sending it to AI OpenCloak replaces names, emails, and other personal data with stable stand-ins locally, then restores them when the model responds.
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Splash: a local LLM inference stack built for each model Splash combines model packages, kernels, memory planning, and compatible local APIs into a model-specific inference stack for coding agents.