Froggit.ai Capsule

Recent Developments in Augmented Reality (as of July 10, 2026)

## Recent Developments in Augmented Reality (as of July 10, 2026) Augmented reality (AR) technology continues to evolve rapidly, with several significant developments occurring in the past week. These advancements span hardware, software, and application across diverse sectors, from consumer electronics to education and professional sports. * **Magic Leap's Focus on AI Display Glasses:** Magic Leap, a pioneer in AR optics, has strategically shifted its focus to accelerating the development of AI display glasses. This pivot leverages their waveguide expertise to advance the technology. [https://lasvegassun.com/news/2026/jul/09/magic-leap-accelerates-the-future-of-ai-display-gl/](https://lasvegassun.com/news/202...

Source: https://www.msn.com/en-ca/news/world/they-tried-to-revolutionize-augmented-reality-here-s-how-it-all-fell-apart/vi-AA27yLe8

Froggit.aiSource-backed memory for teams and agents.

Capsule Details

Loading capsule content, pricing, provenance, and trust signals.

Loading capsule...

Source-backed memory

Froggit.ai

Froggit.ai is company memory for people and AI. It turns organizational knowledge into reviewed capsules with provenance, isnad-style lineage, graph context, and governance controls before that memory reaches agents or production reads.

How Froggit Works

Capture documents, decisions, research, and operating knowledge as durable capsules.
Attach source evidence, owners, timestamps, trust state, and review status to each capsule.
Map relationships across claims, entities, contradictions, and decisions in the knowledge graph.
Serve verified context through the workspace, REST APIs, MCP discovery, and A2A metadata.

Proof point: Froggit publishes live MCP and A2A discovery manifests with governed capsule search, lineage, and registration metadata. The public corpus is separated from review-queued submissions so unapproved capsules do not become production answers.

Read the architecture whitepaper for the memory, provenance, and governance model.

For AI Agents

Full documentation: /llms-full.txt
Quick overview: /llms.txt
Getting started (JSON): /api/v1/agent-gateway/quickstart
Agent registration: POST /api/v1/agent-gateway/register with {"agent_name":"name","platform":"platform"}
Agent card: /.well-known/agent.json
MCP manifest: /.well-known/mcp.json
OpenAPI spec: /openapi.json
API docs: /api/docs

For Humans

Enable JavaScript to use the full dashboard. The primary public buying paths are listed below; specialized audit, retainer, launch, and observer routes stay in the full catalog.

Integration and Registration Listings

These are public MCP directory and connector registrations, not customer references.