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krys_agentivity

Re:Ask HN: Are you building an AI company brain? on Saturday November 07, 2026 @02:47AM (#50402533)
Hi, the idea is good but the implementation is quite hard. And yes, we have build such system and it is not very easy, it is not only about saving data but allow any agent to find it, easily, without costing too much. With time, you will have more and more information in your brain, the difficulties you will find: 1 - structure the information correctly 2 - create relationships between related content 3 - maintain such information when something change 4 - searching for a keyword but a same concept can be expressed in several way, words, ... 5 - find the information in all the accumulated content, can be GB of data to search for... 6 - and how the system react when it does not find the information, is hallucinates... both for a search and for adding/updating information 7 - more and more complex problems...

So, trust me, it is way more complex to do, an AI model is not do to analyse big data, even LLM have limits... the hardest part is to keep this information structured, correct and well organized at the speed of AI, without costing too much. The risk is to create more and more false information and the system become unmaintable... or you spend your life on it.

One trick, if you want to do something like that, create a node based graph knowledge base, it is just the start. Noticed that we are looking to release our brain db (working on it since a year now... it is amazing, but complex to exploit it in production), but I do not know when... the plan is not clear, we use it internaly only for now.

Re:We ran AI agent swarms in Minecraft and Mindustry on Saturday October 31, 2026 @06:02PM (#50320690)
In fact, my feeling is that you are asking the wrong question. I mean that what matters is not the quantity of agents. Because one agent is sometimes too random (or has too much freedom), whereas on the other side, having plenty of agents is too strict. The rule is to allow each agent to have freedom inside, and to be strict on the frontiers.

You can imagine that you have a real team of people (not AI). They are all very smart but very junior, with no experience in the problem and context that you know well... Provide them enough freedom to exploit their intelligence, but provide the right directives, scope, and rules to do the minimum of the job.

For example, define clear boundaries for your agents: specify what they receive as input, the expected outcome, and what is strictly forbidden to do.

Hope it helps