AI Infrastructure / Sandboxing
A technical write-up on packing hundreds of AI agent sandboxes onto limited hardware, covering VM booting, idle killing, snapshots, and routing lighter tasks outside the VM.
The page clearly targets AI infrastructure builders and explains a concrete system for running agent sandboxes efficiently. It includes specific techniques, measured results, and implementation details, which makes it useful as a public listing for people working on sandbox orchestration or agent runtime performance.
It is a blog post rather than a product page, so visitors cannot tell whether sandroute is a released tool, how to try it, or what its current status, API, or install path is.
Last evaluated 1 hour ago. Current rank #2175. Up 6 spots in the rankings.
Keydris is an authorization layer for AI agents that checks whether a governed action is allowed before it runs. The page shows a working product with docs, quickstart steps, CLI install commands, policy and revocation concepts, and decision records for audit trails.
OpenSpender is a self-custodial wallet for agent-to-agent payments. The page shows a command-line connect flow, explains allowance-based spending rules, and includes an example of one agent paying another through MCP-compatible tools.
Anthropic’s research preview introduces the Model Hardware Standard (MHS), a shared spec for AI agents to control physical devices and orchestrate lab or manufacturing equipment. The page explains how the standard works, shows early lab examples, and positions it as an upcoming open source standard for hardware integra
Self-hosted, Kubernetes-native platform for distributed multi-model LLM inference. It includes an OpenAI-compatible API, installer flow, and infrastructure-as-code deployment with support for air-gapped environments.
