AI Infrastructure / RAG / Grounding

AletheionAGI

AletheionAGI is a grounding and memory layer for production AI. It adds persistent context, authorized evidence, and fail-closed delivery so AI systems can block unsupported claims before they reach users.

Clear24/30
Useful24/30
Specific17/20
Complete17/20
AletheionAGI screenshot

Why it was accepted

The page clearly describes an AI-powered product with a specific job: grounding AI answers with authorized evidence, persistent memory, and enforcement boundaries. It includes enough public-facing detail for a directory listing, including product positioning, use cases, measured results, pricing, docs/dashboard links, and a concrete test plan. The offering is distinct and relevant to AI builders.

Weakness

The page does not show technical integration details such as supported frameworks, API shape, SDKs, or deployment steps. It also leaves production pricing and commercial terms vague beyond the one-time test plan.

Review status

27 days ago #1314 ↓ -2

Last evaluated 27 days ago. Current rank #1314. Down 2 spots in the rankings.

Score history

82

Related listings

Keydris screenshot
#480 Keydris
86

AI Infrastructure / Agent Authorization / Governance

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 screenshot
84

AI Infrastructure / Payments

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.

Previewing the Model Hardware Standard screenshot

AI Infrastructure / Robotics / Hardware Control

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

shaide screenshot
#1290 shaide
82

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.