AI Infrastructure / LLM Serving
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.
The page clearly describes an AI infrastructure product, not just a vague project. It shows the core use case, deployment model, stack components, quickstart steps, and API compatibility, which is enough for a useful public listing.
The snapshot does not show full setup depth such as supported model list, exact hardware requirements, pricing/licensing details beyond Apache-2.0, or mature docs for day-2 operations like scaling, monitoring, and upgrades.
Last evaluated 10 days ago. Current rank #1290. Down 2 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
