Himanshu

Building agents | Interested in shipping fast opportunities | Medium:

[Himanshu @nothiingf4]

https://t.co/uB3CaFFoov

[Himanshu @nothiingf4]

@Av1dlive Great share

[Avid @Av1dlive]

Hermes Agent. Zero to full autonomous operation. One complete course.

Installation. Skills. Memory. MCP. Scheduler. Multi-agent.

Works while you sleep.

The people who build this system will never manually operate a content, research, or business workflow again.

Read this and bookmark it now.

[Himanshu @nothiingf4]

@rohit4verse Wow

[Rohit @rohit4verse]

there's now a formal proof that your agent's vector memory forgets what you stored and fabricates things you never did.

scaling it up makes both worse, not better. "the price of meaning" (arxiv 2603.27116) proves it for any memory that retrieves by similarity in an embedding space.

the same geometry that lets embeddings generalize creates competitor mass in every neighborhood.

add data and the crowding grows: retention decays toward zero, and false recall can't be tuned out without throwing away true hits.

not a bug in your pipeline. the shape of the math.

i learned this the expensive way. 500 stored facts, two weeks into a build, a user asks what i know about their job.

retrieval hands back four fragments from different weeks:
"i love my job," "thinking of quitting," "my manager is supportive," "my manager micromanages."

the agent invents a clean synthesis of all four. the user had switched jobs in between. embeddings measure similarity, not truth.

the topology angle says stop storing meaning as geometry, store it as structure.

navigate an edge in an AST or a graph instead of searching a neighborhood.

no crowding, no decay, no false recall.

FORGE backs it: plain AST checks catch structural hallucinations at 100% precision (arxiv 2601.19106).

here's what the structural pitch skips. the same proof shows pure structure escapes the geometry only by surrendering the connections embeddings find.

you trade fabrication for blindness.

so i stopped picking a side. what actually ships across thousands of sessions:
– extract facts, not transcripts
– resolve conflicts on write: archive the old job, mark the new one active
– hybrid retrieval: vectors for discovery, graph for precision
– decay plus nightly consolidation, so memory keeps what matters and lets the rest go

memory is infrastructure, not a feature. that reframe is the whole game.

and it's being measured now.

WorldMemArena (may 28, arxiv 2605.29341) scores these paradigms head to head, embedding memory against retrieval-augmented against terminal-agent harnesses, across multimodal action-world tasks. the question moved from "does it remember" to "what kind of memory survives scale."

full architecture, with the code, here:

[Avid @Av1dlive]

Sam Altman (CEO of OpenAI): "very soon, an AI will just be running for you in the background all the time. aware of your entire life"

but one agent can't do that.the answer is 3 agents covering each other. one plans, one builds, one verifies, all while you sleep.

in 5 minutes, this guide shows you the exact build.

i turned the entire Sam Altman interview into a multi-agent playbook that ships while you sleep.

[Himanshu @nothiingf4]

@Av1dlive Thanks for sharing habibi

[Rohit @rohit4verse]

anthropic shipped a claude that writes its own harness, per task, on the fly.

building the scaffold just stopped being the hard part.

now the edge is judgment: which pattern fits, and when more compute is wasted.

[Himanshu @nothiingf4]

@rohit4verse Wow great share

[Himanshu @nothiingf4]

@ardent0X Wow

[Himanshu @nothiingf4]

@Av1dlive The goat

[Himanshu @nothiingf4]

@Av1dlive Wow good read

[Himanshu @nothiingf4]

@techwith_ram A good one

[Naman @ZukeKnight1X1]

https://t.co/qJZnLGItGb

[Himanshu @nothiingf4]

@rohit4verse Wow this article is good

[Himanshu @nothiingf4]

@Av1dlive Damn, interesting one

[Avid @Av1dlive]

https://t.co/Trt5X89PiX

[Himanshu @nothiingf4]

@sayoutdosa mera paas video hai tumhaari harkaton ka

[Himanshu @nothiingf4]

@sayoutdosa Puri me

[Himanshu @nothiingf4]

for today ;)

- wrap up the final iteration of last remaining 4 pr's
- dive deeper into the sdk part for fixing more issues on gh

- going down to 2200 calories/day
Life is better when you smile at it ~@nothiingf4