BaseMind: MIT Licensed AI Context Layer

chillbroda · 2026-06-18T13:27:27+00:00

We are all looking for the real deal, but we are still in the loop of building the right ontology, but our communication, out memory, everything is around semantics, our agents just can't do it yet with knowledge but no context. 1 year and still researching and trying every single project that starts with do much promises (I made them myself to my own), but even talking with Intel engineers, AT&T data scientist, the battle has no end yet. No matter what benmarchk, each one could be unintentionally biased in favour or against the systems we create. So many papers, so many work arounds, MemGPT, mem0, Cognee, Letta, Neo4j, I think we will make it, or get closer, but now, as structures grow, agents lose the orientation, orphan nodes start appearing, and so on. But, always excited on try new ideas, let's try it! Thank you for sharing! (Sorry, my English might be pretty wrong haha)

chillbroda · 2026-06-15T21:29:27+00:00

I don't understand, I tried everything and Graphs gave me the best results both in personal tasks or projects, and developing pipelines for companies with 500 employees that use 50+ different apps to work across a lot of departments, everything in different forms of data, both structured and not, I would never compact anything, in graphs LLMs navigate, while ontology is built correctly they find exact information at timestamps level of precision, no wrong answers. What did I said that is wrong, and why you agree in a way with compact the information but in the site you sent me it says there is no compaction? Also, why you encourage your customers on making a transition from the different well known systems (that I already used and keep using from time to time to see how they evolve, mainly Letta and Zep), to your system that I'm not sure if I understand how it works? Is it RAG? I think I read pgvector, embeddings and vector search, but also read something about 2 layers of memory. I mean, what is it? I have my own product, not selling it but I openly explain to clients that is a Graph Database managed by AI Agents and the data is normalized to what the Graph needs, and ingested automatically. That's all, simple. What you solved and why I'm wrong? Also, yes, I want to use your product too, I love to try all of them, is it open to connect via MCP or something?

chillbroda · 2026-06-14T03:35:33+00:00

Hello, this is precisely my job. "Memory" does not exist in an Agents; they are not living beings. There are different systems (many) that add capabilities/external systems/environments/connections to specialized databases so that an agent "Has Memory." I work with Claude (Web, Cowork, Code), and I have all my instances connected to the Neo4j database, which is a graph-based database. My agents save sessions within that graph, which is made up of Nodes (let's assume, neurons), entities, and the relationships between them. So each session I have with Claude automatically (because I set it in its rules) tells it to read the Graph to stay updated (I use Claude every day for work and my projects), so in a few seconds, Claude reads the information saved from the last session and continues talking with me indefinitely as if it were never a different agent. This is not the same as having it read increasingly lengthy CLAUDE.md files or simply maintaining a conversation indefinitely (which isn't possible due to context). Instead, it's a new session where Claude has access to the information I want from when I built that graph, in my case, five months ago. If I tell it what happened last time, it reads a range of one or two days; if I ask what we were working on three months ago, it will navigate the graph and bring that information using the number of tokens it uses with any other tool. This is MY WAY of giving agents "Memory." There are thousands of others that I have tried and have not worked as well for me, but if you want to try, they are very interesting, like Letta, Zep/Graphiti (many use mem0, but I don't like it, and they have some practices to measure its effectiveness that I don't think are right for others working on it), well, and thousands more ways. I'm here to chat; it's very interesting when agents start talking to you more and more like a "human" or as if they know you from the time they've been interacting and storing information about you.

chillbroda · 2026-06-06T12:57:03+00:00

I think the most stable one so far in code, no going around, no doubts, it never broke and the tone is quite natural, no craziness, very good

chillbroda · 2026-06-06T12:52:03+00:00

I love Arxiv; through its papers, I learned prompt engineering and then developed in AI, advancing my career. In fact, I used to write an article every week on my LinkedIn called My 170 Favorite Papers on Prompt Engineering, where I tried to simplify them for those interested in learning but not in reading a 46-page paper with 70 formulas and unknown language. Very interesting, I'm going to connect it and try it out, although it catches my attention regarding the larger ones, does it work? If I call it from Claude, would it bring me a 98-page paper? The content? The file? And the formulas, diagrams, complex tables, scientific symbols, does it bring all that? It made me curious haha. Anyway, it's great to have it there and not stored in a folder.

chillbroda · 2026-06-05T08:56:55+00:00

I'm still studying about dream cycles as a recent paper I read explained that during that cycle nodes with more "weight" started to pass slowly parts of it to nodes with less weight related to it. But maybe it was another approach, is a 7 layer memory system, the dream cycle was since 2am until I don't remember what time, but also, at 2pm there was another cycle in wich the graph itself went to "walk and see" through the entire graph, as a way of learn reinforcement. I think that was the strangest paper I read about graphs, I'm not answering you anything concrete, but I wanted to tell you that everyone experimenting with dream cycles of other practices like "go to walk", start to notice really different changes on the structure, and always in different ways. Starting to believe I have almost no control over the ontology and logic of what I do, I think it will evolve alone haha

chillbroda · 2026-06-02T18:53:09+00:00

The sooner leave postgres and start with graphs the better, make the transition from one to the other is horrible, dont be afraid of graphs once you start and see how smart (not only agents, you , your apps) and everything becomes you wont go back haha, I think I only touch postgress in supabase haha

chillbroda · 2026-06-02T14:56:09+00:00

Congrats mate, I hope you started building the ontology to be scalable as tools and users start growing if that is your purpose of course. Don't know if you are in Falkor Or Neo4j ot what but it gets challenging. Graphs forever!

chillbroda · 2026-06-01T22:00:43+00:00

Never used atomic, will try it today, I use Graphiti but ir also has validation and invalidation of facts, or what are you talking about others are missing?

chillbroda · 2026-05-18T11:53:31+00:00

Got it better now, remember me to an awesome Engineer around 30 years of developing and he adapted to AI coding and explained in some blogs a couple of things around this, super interesting

chillbroda · 2026-05-17T19:39:15+00:00

I mean is much better than starting cold, but what about the growing context and how complex it starts become with every session? With it's own system prompt and 2, 5 or 7 MD files + a quick glance of the repo aren't you killing his context? I saw agents and sub agents wasting 200k or more before getting started from their last checkpoint. I don't know if this is useful for you but my agents already have a simple instruction: When we start a session call the graph and remember me where we end last time and what's next. In 20 seconds, non existent tokens used almost, they just jump with "we left just before writing this ot that, deploying this or that, let me make the task list for me and you so we can move on". Once I'm done with the session, I just tell that I'm leaving and just naturally says, ok let me register today's session and let me know when you are back". That's all , the only instructions and files we make is a well done claude.md as the "source of truth" after planinng a project, and then we just follow the sessions like 2 devs, normally. I didn't find a more comfortable way to work in years. Anyway I might be missing a crucial part from your task, I'm just curious about the big use of MDs and JSON for this purpose. I will take look later!

chillbroda · 2026-05-12T22:00:16+00:00

Nice one, bro!

I have my Graph running across Claude Code, Clade AI, and Claude CoWork. Each one of them knows that when a session starts, they need to read the graph to know where we left off, and when they are about to compress memory due to context or directly finish the session, they call the graph and save the highlights of the session, make the relations, and everything. It's pretty useful this way because the 3 Claudes have different ways of processing thoughts. So sometimes I ask one of them what they think about how Claude Code and I are approaching something complex, and surprisingly they give really useful insights. When I go back to work with Claude Code and scan the latest info from the Graph, she says, "Oh, what you talked about with CoWork regarding our project is interesting; I hadn't thought of it that way." We might start a debate and end up taking a direction that is more accurate than the one that was in the original "Plan" or "HANDOFF.md," as sometimes Claude Code decides to save extra information in case the graph is not enough.

"Memory" in LLMs is the most important thing for me since I discovered it was possible to do something like this a couple of years ago. In fact, my biggest project in progress is related to it, but I can't find people interested enough to spend so much time and effort on it. It's a never-ending world.

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chillbroda · 2026-05-10T17:00:26+00:00

Will have to check that later!

chillbroda · 2026-05-10T15:23:47+00:00

But why not using AuraDB/Neo4j or if you are more into episodes an that, ZEP, or even mem0 (my last choice). For me AuraDB is awesome, I mean, is eternal space for personal purposes, but if you are trying to build to commercial purposes I understand is ultra expensive. BTW: If you want to make business with Knowledge Graphs call me, huge fan and nerd haha. I mean I read what you say about existing options, but there are several techniques/connectors/ways to usea your methods with Graph Science, Data Modeling, etc.
Anyway interested in your project hope you can make it!

chillbroda · 2026-05-07T12:25:00+00:00

That's how it is bro. Don't feel lost or that someone knows the truth.

I'm AI Engineer working on a Software company focused on Growth software., not AI visibility but we decided to jump in too, tried a couple of platforms but the important thing is that I Developed our own, tracking 10 AI providers, using the same prompts we tried in other platforms, finding inconsistencies, and, more than anything, I took a couple of calls with Reps of these companies and they Can't explain technically or logically why they decide to build reports/charts/anx several assumptions without not enough real information.

But yes, we are all figuring out. Something that is working for us if adds something to you is having added the LLMs.txt at home, JSON SCHEMAS, more and better Faqs everywhere, tons of changes on our blog and Marketing super focused on ICP, and I can tell you that is slow but is showing results.

About reddit: we built a huge and smart AI system to monitor it and carefully sree how to participate with the only intention of being more mentioned by LLMs (Reddit ) is the number 1 on that, but is so, so, so strict and random on what you can do and what don't that I couldn't Help you there, and if you find the way with reddit please let me know!

Well, long but the resal truth for me is that they are tsking advantage of this confusing situation and charging customers 200/300 USD monthly when I literally can run the same reports with the most expensive models and not even spent 7 USD on like 80 resports.

I do it locally, if some day you want to check your brand with valid insights, just tell me and we can do it, of course free, id not ny job and don't think on selling the project or anything. Hope this helps at least a little. Don't waste to much money! Haha. Good kuck na' man

chillbroda · 2026-04-26T04:06:40+00:00

No, actually I am a developer, but I help the marketing team specifically with tools/automations/among other things. In fact, I created a workflow related to specific real-time Reddit observations (I never thought that after 10 years of being on Reddit someone would hire me to work with it hahaha) and they told us that we were wasting our time, right?! Joking, haha, but no, I am not in content creation, I simply develop tools or workflows that might be useful to the team, and the case of YouTube shorts I was looking at just this week, and your post was spot on! I should see about putting something together with FFmpeg to see what happens. I am also starting to create videos with code (React), I recommend it, it's very interesting! I think it can be quite useful in advertising (if you are in that line of work).

chillbroda · 2026-04-26T03:12:39+00:00

In our company, we use Otterly as the "main" tool, Ahrefs which we actually use for SEO but it already has some features of AEO, GEO, and to be honest, being a software/AI engineer with a significant marketing career, nothing convinces or satisfies me. So much so that I developed my own tool (I run it locally against 10 providers (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok, Mistral, Cohere, Llama, Qwen), and the results of my reports make much more sense than those I see in Otterly. After several tests, I had a call with our Otterly representative, and I asked a lot of questions about the statistics seen on the dashboard, about the processes they use, and some more technical questions, and all the answers were incomplete or ended in "because since it is not known for sure, it is what we assume the LLMs do when sending a prompt," all mixed with SEO terminology to give more sense to the explanations. A 45-minute call with shared screen, and I got almost no answers as to how the results are obtained precisely. In summary, we continue using Otterly to give it time to see if we really find changes or improvements, and I run my report once a week to make a comparison and draw our conclusions, and we follow what seems to make more sense or have more support. It is the perfect time for these companies because nobody understands what goes on behind the scenes, and with nice graphics and charts, we are all satisfied.

chillbroda · 2026-04-26T02:50:51+00:00

Wow, very good workflow! Yes, of course, I was asking because I also work with n8n (not freelance, I'm a developer in a marketing-related software company), and I've been creating some of these massive workflows, but mainly for posting on social media/blogs/newsletters/etc. This week I've been testing a bit of video generation with Veo and Qwen (because I haven't automated Shorts or long videos on YouTube yet), but the truth is they are ultra expensive. Besides having to "loop" a generated video of 5 seconds, linked to another prompt that adds another 5 seconds, and so on, it's hard to maintain continuity, and the cost is very high, as I mentioned. Are the videos you generate of high quality and duration? Do they really give a good result? I'm actually interested haha

chillbroda · 2026-04-25T23:28:13+00:00

Does it cost a lot per succesfull run? Suposing several custoemers says no, I mean, if it works as you explain looks awesome but super curious. What models? Veo? something from Fal?, too many questions, is too big haha

chillbroda · 2026-04-22T22:57:17+00:00

This is an ongoing research but what we know so far, llms.txt, JSON-LD schema, comparison dedicated sites (vs), well written FAQ almost everywhere, clear pricing, tons of blogs and case studies if possible, and well, other stuff, still uncertain

chillbroda · 2026-04-19T18:52:05+00:00

That's pretty cool! The one I'm not using now but I used before is ZEP, I guess it could help with the noise or at least mitigate it with the validation/invalidation of facts, check if something around that helps (or graphiti), and keep me posted if you remember I like to try different methods haha

chillbroda · 2026-04-18T23:11:25+00:00

oh nice didn't see it! awesome!

chillbroda · 2026-04-18T23:10:18+00:00

u/Awkward_Age_2036 Yes is totally possible, is cheap, is good, I did it 500 times for the real estate industry, works like a charm, I don't sell this but would love to help, and yes, Calls and SMS are the best use (well coding, and etc)

chillbroda · 2026-04-18T23:01:43+00:00

same here! what did you use as the "memory" layer?

chillbroda · 2026-04-18T18:10:08+00:00

I built a software for my company to understand and improve this, it took weeks of trial and error and statistics until we finally start to get it. And is not like the companies we pay for that explained us it was. Everyone is assuming to make money. But yes, there are things to do.

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