Halcyon

ai agents | one cut

dm open

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

@jetwaniavinash 20 of 22 is strong. what got through?

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

@emollick step one: finding every result that never replicated

[Halcyon @halcyonedge]

Coursera co-founder Andrew Ng:

"When writing software becomes ten or a hundred times faster, not only is there a product management bottleneck, pretty much everything else becomes a bottleneck"

In this 31-minute conversation with LangChain CEO Harrison Chase at Interrupt in May 2026, he explains where the bottleneck moves once coding agents make building fast, why he now sets up tiny teams of generalists, and why bottom-up AI projects bring efficiency gains but not the transformation

Writing the code was the old bottleneck

Everything around the code is the new one

Bookmark and watch it today

Then read the full guide below ↓

[Halcyon @halcyonedge]

Anthropic Member of Technical Staff Lance Martin:

"Five out of five replicates with raw memory store fell down this trap. With dreaming, this error is corrected"

In this 19-minute talk at AI Engineer World's Fair in June 2026, he explains how Anthropic builds agents for long-horizon tasks and why Claude kept falling through the same Pokémon trapdoor

Memory written mid-task can be wrong, or locally optimal but not globally

Dreaming reviews the memory store and past sessions offline and fixes the errors

Few $1,000 AI agent courses go as deep as these 19 minutes

Bookmark and watch it today

Then read the full guide below ↓

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

Coursera co-founder Andrew Ng:

"When writing software becomes ten or a hundred times faster, not only is there a product management bottleneck, pretty much everything else becomes a bottleneck"

In this 31-minute conversation with LangChain CEO Harrison Chase at Interrupt in May 2026, he explains where the bottleneck moves once coding agents make building fast, why he now sets up tiny teams of generalists, and why bottom-up AI projects bring efficiency gains but not the transformation

Writing the code was the old bottleneck

Everything around the code is the new one

Bookmark and watch it today

Then read the full guide below ↓

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

i turned my Memory Engineering guide into one page

six layers between a session and a memory your agent can trust:

step 1 → separate: you write the rules. the agent writes its notes, in its own folder under git

step 2 → checkpoint: every session reads it first and rewrites it last. done, verified, next, don't retry

step 3 → index: one line per note. Claude Code loads only the first 200 lines or 25KB of it

step 4 → stamp: your harness records the source, session and time of every write. untrusted ones wait in quarantine

step 5 → consolidate: merge duplicates and drop stale notes in a new copy, never in place. then review the diff

step 6 → promote: a correction you gave twice becomes a rule, a test or a skill

most people fix a forgetful agent with a longer instruction file

you don't have to

Bookmark this, then send the page and the guide to Claude Code or Codex

Then read the full guide below ↓

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

@Saboo_Shubham_ one shared file needs a stamp on every write

[Halcyon @halcyonedge]

@bindureddy easy tasks are most of an agent's day

[Halcyon @halcyonedge]

@emollick the real job lived in what never reached the manual

[Halcyon @halcyonedge]

@Polymarket a human agent with no permission scope

[Halcyon @halcyonedge]

OpenAI co-founder Andrej Karpathy:

"Agentic engineering is about preserving the quality bar of what existed before in professional software"

In this 29-minute conversation with Sequoia partner Stephanie Zhan at AI Ascent in April 2026, he explains how agentic engineering differs from vibe coding, why today's models are so jagged, and why understanding is still the human's job

Vibe coding raised the floor for everyone

Agentic engineering keeps the quality bar

Most $1,000 AI engineering courses teach less than these 29 minutes

Bookmark and watch it today

Then read the full guide below ↓

[Halcyon @halcyonedge]

OpenAI co-founder Andrej Karpathy:

"Agentic engineering is about preserving the quality bar of what existed before in professional software"

In this 29-minute conversation with Sequoia partner Stephanie Zhan at AI Ascent in April 2026, he explains how agentic engineering differs from vibe coding, why today's models are so jagged, and why understanding is still the human's job

Vibe coding raised the floor for everyone

Agentic engineering keeps the quality bar

Most $1,000 AI engineering courses teach less than these 29 minutes

Bookmark and watch it today

Then read the full guide below ↓

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

@mattpocockuk will the advanced cohort cover memory and /retro?

[Halcyon @halcyonedge]

@Polymarket AI to SI by rename. the weights stayed the same

[Halcyon @halcyonedge]

@paulg same for agents. the harness is never finished

[Halcyon @halcyonedge]

@kimmonismus probably compute. agents burn more than chats

[Halcyon @halcyonedge]

Send this prompt to Claude Code or Codex before you trust your agent's memory

it audits every memory file → flags what's stale or planted → tests 8 bad memories

it writes only to memory-audit/. nothing else changes until you say yes

Copy this now. Thank me later:

Then read the full guide below ↓

[Halcyon @halcyonedge]

Your agent keeps making the mistake you corrected yesterday

Memory is supposed to fix that. It also lets anything your agent reads become something it remembers

In this article, I show you how to build memory your agent can trust ↓ https://t.co/99DPkk7zQk

[Halcyon @halcyonedge]

@OTLars good split. same source corrects, other sources only propose

[Halcyon @halcyonedge]

@otnoderunner @OTLars authority over recency. timestamps alone pick the latest liar

[Halcyon @halcyonedge]

@chaka_kuka 84% persistence is wild. got a link to MemSecBench?