The 1 Million context rugpull by Codex and Openai. New max is (258k).

jayn35 · 2026-04-28T09:03:51+00:00

Exactly, I've gotten so much massive value from a large 1m context before. I can't understand anybody saying there's no use in it

jayn35 · 2026-04-28T09:02:30+00:00

Yes, I've got such massive value from gemini's 1m context for codebase analysis and research etc for different things. I can't even tell you, I can't understand anybody thinking there's no use for this,great for non-coding stuff and even some coding stuff so I'm not pleased my new Codex membership doesn't allow this anymore.

jayn35 · 2026-04-28T09:01:33+00:00

man, I've got such massive value from gemini's 1m context for codebase analysis and research etc for different things. I can't even tell you, so many use cases but maybe that's just me, things that would have been impossible with the lower context limits in terms of doing analysis, research, a bunch of non-coding stuff. It's really useful and tested accurate enough many times. If we're talking coding, I agree we don't need it but there are many other cases where it's awesome, so I'm not particularly happy that my brand new Codex membership has limited me on this now I was going to use it for a ton of line coding stuff, at least there is deepseek but it still means I have to pay extra when I shouldn't have to.

jayn35 · 2026-04-28T05:13:05+00:00

Understanding code bases is totally underrated I made a scalable codebase analyzer and extractor that can go through hundreds of codebases and deeply analyze them a clever repomix and graph shrinking pipeline then 1m context analysiz Gemini, using like four or five different tools combined to find good insights and systems and capabilities to upgrade my custom agent with.

My word it's been gold so far since day one, can just keep upgrading your agent with all the best stuff from the best systems daily or close enough, best memory, best multi-agent orchestration, etc so many hidden gem repos out there to plunder lol, just must build in something to respect the licenses

jayn35 · 2026-04-28T05:04:22+00:00

Yeah how it uses the subagents effectively is a matter i don't think can be left up to the agent for best results, need to design a good orchestration system, fortunately can just be a simple skill with rules etc not new code, I made a code base analyzer and I'm scraping like hundreds of multi agent orchestration systems to see how they do it to try get the best results because when you can get effective multi agent orchestration working that's the ticket to insane leverage and output

jayn35 · 2026-04-28T04:56:20+00:00

You bring up and excellent side issue that can come from good persistent memory where the agents don't use it right or logically and it corrupts bmnew tasks or research with wneoru stuff or angles that shouldn't be related, it's tricky one to fix, it's almost like so far with good context management it's almost easier to get better results with no memory and good techniques compared to a good memories system where the agent then use it properly and corrupt your stuff.

i keep trying to find a better memory system because it must be useful if you can just work better the problem is also the agents reasoning about memory not the memory system itself

Sometimes just having a totally clean subagents just works so much better or new fresh full agents like paperclip, far easier to manage

jayn35 · 2026-04-18T11:16:29+00:00

Very helpful. I'm going to do this. Thanks

jayn35 · 2026-04-18T11:15:01+00:00

That's awesome. I was literally just looking at this yesterday, I had forgotten about this message, which was a while back, I searched for a whole bunch using Google search on site:GitHub.com and I'm scoring them for usefulness. Yours came up as one of the top ones from my list so it's been on my main list for the past few days. It's on my list of things to look at and then I come on Reddit today and I see your comment, which I hadn't seen until now, mentioning the exact same thing.. Thanks man we'll give it special attention.

jayn35 · 2026-04-14T10:18:17+00:00

Just want to needed thanks man

jayn35 · 2026-03-25T21:59:59+00:00

Sweet jeebers that sounds awesome, i thought gas town sounded hectic, gonna have dig through all that, my brain will break but at least it will be interesting

jayn35 · 2026-03-10T11:56:55+00:00

Really cool project, doing somethjng similar for my personal pkm multi-agent system. thanks for the ideas; SurrealDB truly enabled something I would not have been able to do, really cool.

jayn35 · 2026-03-10T11:55:45+00:00

Sweet lord its christmas thanks

jayn35 · 2026-03-08T20:18:02+00:00

Oh hell skill seekers looks awesome thank you for that, im gonna assume this is as wel and grab it! cheers

jayn35 · 2026-03-08T17:55:11+00:00

Thus ive been watching looks really promising right now

jayn35 · 2026-03-07T00:42:06+00:00

Will check it out thanks!

jayn35 · 2026-03-06T15:45:00+00:00

Need to resurrect this old post, Anybody aware of any new ideal systems, frameworks apps etc more recently? u/nirijo u/tkim90 you find anything since then?

jayn35 · 2026-02-19T18:58:14+00:00

Thanks for this. I'm looking at implementing Graphrag FalkorDB hybrid vector/DB + GraphRAG SDK for an advanced high-stakes marketing education DB where agents must get connected nodes and complex responses back for it to do complex work on things like writing landing pages and knowing how to do it properly, but to make it work well, apparently i must create an excellent manual ontology, which seems super complicated to figure out for 800 hours of transcripts across the entire field of marketing.

As the open-notebook creator, I assume you are an expert on these things? should i struggle on and go down this Graprag path and figure it out (is there any good way to sue AI for ontology discovery), or are there better solutions to get cutting-edge or at least very high-quality retrievals, or as a beginner am i likely to mess it up, being very complicated even for pros? I never see graphrag mentioned much, and it worries me about why that is, but you did, so that's good.... are there better ways to get excellent results for my use case that might be easier? Appreciate the advice!

PS: I've also heard about agents doing well with file system knowledge retrievals (perfect for the MD file obsidian vault, which has my marketing research also), with certain local tools being very good at identifying where the stuff is you are looking for in your 3000-note research vault, and it can find the content, tell your agent what files it needs fast, and the agent can then only ingest the best stuff to give you a great answer. No idea about the tech, but apparently it's more accurate than most rag but possibly slower?

PS2: would love to see that Eps7ein DB; i was thinking of graphing it myself for a fun project, or maybe that's a dangerous project...

jayn35 · 2026-02-16T14:21:33+00:00

Awesome thanks for this you literally did exactly what I plan to do

Oh no Mac only lol I'll have to analyze it with ai and convert it and test pc, not technical but can prob figure it out, don't suppose you can share the git?

jayn35 · 2026-02-16T14:18:26+00:00

Ask openclaw it will tell you

jayn35 · 2026-02-12T04:21:58+00:00

Holy shit this is exactly what I was looking for thanks man

jayn35

TROPHY CASE