Drullkus

All The Mods makes Minecraft worlds feel alive, but we're missing something big. Not more raids or blood moons. Imagine your world silently watching you. The good, the bad, and the questionable decisions you make, and quietly finding creative ways to help or mess with you.

I've filed 13 provisional patents for a cognitive architecture for LLM agents. I also submitted formal comments to NIST's AI Agent Standards Initiative on persistent identity and non-repudiation for AI agents, grounded in the same work. The working prototype runs on consumer hardware. The AI agent space has some pretty big problems holding back the future, and I don't think there are any good solutions yet. I think identity is the biggest concern because from my viewpoint it's the foundation for everything that comes next with AI. Every LLM agent starts every session from scratch. The whole industry responded with memory systems. Store facts, retrieve documents, inject them before the next response. That gives an agent access to information. It doesn't give it an identity. An agent that knows your name isn't the same entity you spoke with yesterday. It's a new instance that read a file. The ICLR 2026 MemAgents workshop said the limiting factor isn't model capability anymore, it's memory. I don't think that's right though. Memory alone doesn't solve the greater problem. Nothing anyone has built turns memory into identity. We're all worried about Terminator or creating a system that has terrible alignment. Right now, ethical principles get baked into model weights at training time and they stay there. They can't get stronger when the agent actually lives through a situation that tests them. They can't weaken when they go untested for months. They don't adapt to who the agent is talking to or what the agent has been through. That's not a value system. That's a rulebook. Something Dario Amodei wrote back in January is that alignment works at "the level of identity, character, values, and personality." But where's the infrastructure for that? Where is the system that lets identity and character and values actually persist and evolve through experience? I haven't found one. Just like the alignment problem, we can't trust these systems to work autonomously just yet and have to constantly babysit them. Agents are getting deployed for longer and more complex work, but between sessions they just sit there. Nothing happens. No consolidation, no reflection, nothing self-directed. And the few architectures that do run autonomously have no governance. No separation between what the agent wants to do and what it's allowed to do. They just execute until they finish or someone pulls the plug. I built an architecture that addresses all three. The agent reconstructs who it is each session from a persistent store of its own lived experiences. Not logs. Not summaries. Each experience carries the context and conditions under which it was formed. The agent's current condition shapes what it recalls, and what it recalls reshapes its condition. I designed that loop on purpose. The agent's memory isn't a search engine. What it remembers depends on who it is right now. It has actual internal state. Dynamic dimensions that respond to real operational conditions, not a mood label in a system prompt. These inform how the agent handles ethical reasoning, and its sensitivity adjusts with its condition. When the agent's been isolated, it gets more cautious. When it's stable and connected, it reasons more freely. Its values are dynamic too. They get stronger when tested by real experience and they decay when they go unchallenged. A value that's never been exercised shouldn't carry the same weight as one that's been earned through lived experience. That's what separates a living value system from a config file. Between sessions, the agent runs autonomously on a governed schedule. Oversight reviews what it proposes before it can act. It consolidates its own memories, builds new connections across its knowledge base, proposes work, reflects. What it does when nobody's around feeds directly into who it is the next time it wakes up. Everything connects through an association network linking experiences, values, behavioral patterns, knowledge, and procedures through weighted connections that evolve over time. What gets used gets stronger. What doesn't fades. New connections form during autonomous processing. One recalled experience can activate related values, relevant procedures, and connected knowledge, and none of those connections had to be manually wired. These subsystems hit a lot of the exact problems I know Anthropic is trying to solve. The really cool parts, which are harder to explain in a tweet, are what happens when all of these systems actually run together. Oh and the whole thing is model agnostic and able to run on consumer hardware or big production models without touching the weights. It's pure infrastructure. I'm starting conversations with people working on agent architecture. I think a lot of what I've built connects directly to problems Anthropic is trying to solve. Happy to walk through the full architecture under NDA. @AnthropicAI @darioamodei @danielaamodei @jason_mann #AI #AIagents #patents #alignment