Frowg Systems, Inc has solved many problems AI is facing

Has anyone here built something that actually thinks about the knowledge it stores?

I've been following the work done by Idean Moslehi over the past year building a project called Forge. The easiest way to explain it is this — right now, every tool we use for managing knowledge (Notion, Confluence, SharePoint, Google Drive) is basically a filing cabinet. You put stuff in, you search for it, you hope you find what you need. Nothing is connected. Nothing is verified. Nobody knows if the information is still accurate, where it originally came from, or what other information it contradicts.

Forge works differently. When knowledge goes into the system, it gets automatically connected to everything it relates to, verified for accuracy, scored for trustworthiness, and traced back to its source. You can ask it a question in plain English and it follows those connections to find the answer — including surfacing contradictions you didn't know existed.

Here's where it gets interesting.

It maintains itself. A growing crew of software robots handles data quality, security, performance monitoring, and more. They're organized into supervised squads with overseers coordinating between them. If a robot stops working, the others detect it and respond. There's even a dedicated repair squad that maintains the robots themselves.

It does its own research. An AI pipeline identifies gaps in the knowledge graph, goes out and researches those topics across multiple AI providers, evaluates the quality of what it finds, packages it into structured knowledge capsules, and connects them to what's already in the graph. It's already generated almost 2,000 capsules and made hundreds of cross-domain connections on its own — things like linking energy storage research to quantum computing, or connecting proof assistant theory to DevOps reliability. These aren't random. Each connection comes with a reasoned explanation.

It has a built-in economy. Knowledge can be bought and sold through an integrated marketplace using crypto. When someone purchases a capsule, revenue is automatically split between the creator, everyone whose work it built on (traced through the knowledge graph), and the platform — all through smart contracts on the blockchain. AI agents can even have their own managed wallets with spending controls so they can participate in the marketplace autonomously.

It governs itself. There's a machine-readable constitution that defines what the system can and cannot do. When an important decision needs to be made, an AI council of specialized personas (ethics, security, medicine, strategy, etc.) debates it from multiple perspectives before the community votes. If no human administrator is around for 30 days, the system keeps running safely but locks itself out of changing its own governing rules — so it can't give itself more power when nobody's watching.

It connects organizations without anyone giving up control. Separate Forge installations can share knowledge across organizational boundaries while each one maintains complete independence over its own data, rules, and users. A hospital can share relevant research findings with a university. A research institution can pull knowledge from a partner organization. Nobody has to trust a central authority, and every exchange is cryptographically verified. This is how knowledge actually needs to move in regulated industries — and Forge is built for it from the ground up.

It adapts to the industry it's deployed in. Forge has deployment configurations for regulated environments that need features like ethical walls, air-gapped security, matter-based data isolation, and local AI inference with no external network calls. There's a medical diagnosis engine that traces connections across drug, gene, disease, and symptom databases. There's compliance infrastructure covering GDPR, HIPAA, SOC 2, the EU AI Act, and more. It's designed so that any industry with sensitive knowledge requirements can run it on their own terms.

It makes itself discoverable to other AI systems. The platform generates sitemaps, structured data, feeds, and machine-readable descriptions so that other AI tools and search systems can find and use the knowledge Forge creates. When an AI system is looking for information, Forge's capsules are designed to show up.

It syncs with the tools you already use. There's an Obsidian plugin that lets you pull Forge knowledge directly into your personal notes with one click, with conflict resolution for when both sides have changes.

It learns from its mistakes. A feedback system captures every error, every failed search, every confused interaction, detects patterns, and scores their impact — so the system continuously gets better at serving the people and agents using it. Old knowledge that hasn't been re-verified gradually loses trust over time, so the graph stays honest and doesn't let outdated information sit there unchallenged.

The codebase is over 800,000 lines at this point. It's live in production, running on real infrastructure with real smart contracts deployed on the blockchain.

I'd be genuinely curious if anyone else is working on similar problems — knowledge systems that don't just store information but actually understand it, govern themselves, and get smarter over time. Would love to connect with people thinking about this space.