I Teach Entrepreneurs How To Have More Money, More Business, More Time Off. Love My Girls, My Biz, My Team...MY LIFE!
Joined February 2008
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Apr 29
Right now, somewhere in your team's notes, decisions, and meeting transcripts, sit dozens of margin claims, partner commitments, and customer promises that quoted the old price. They are now wrong. Your memory system — Notion, your vault, Slack search, whatever — does not know.
I shipped a memory layer today that does. It's called Atlas.
github.com/RichSchefren/atla…
Atlas is open-source, local-first, and runs on your laptop. When a fact in your memory changes, it walks the dependency graph and re-evaluates every belief that depended on it. Automatically. Not at retrieval time, when you ask the question — at *ingestion time*, the moment the new fact lands.
The math is the AGM postulates from 1985 (Alchourrón-Gärdenfors-Makinson). The same formal correctness Young Bin Park proved on a property graph in his 2026 paper at Kumiho. Atlas re-implements it as fully open-source local-first code anyone can audit. 49 of 49 compliance scenarios pass at 100%.
Local-first means: Neo4j on your machine, SQLite ledger on your machine, your data never leaves your hardware. No cloud, no telemetry, no API keys for the core path. Apache 2.0.
If you build with AI agents, plug it in: Claude Code MCP, Hermes, OpenClaw. If you keep an Obsidian vault, point Atlas at it — when contradictions emerge, they show up as markdown files in your vault for you to resolve.
The repo, the paper draft, the 49-scenario reproducibility artifact, the BusinessMemBench head-to-head benchmark, and a 12-second demo are all at lnkd.in/exiXPmYK.
If you've been frustrated by AI tools that "remember" everything but reason about none of it, this is the open-source layer that closes the gap.
— Rich
#opensource #ai #knowledgemanagement #memory #localfirst
github.com/RichSchefren/atla…
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A $3M consulting firm I worked with in 2024 had a 73% close rate on the right buyer and 9% on the wrong one.
Both kinds of leads came in at the same volume. The sales team burned 70% of its capacity on the 9% buyers, because they "looked qualified."
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We rewrote pre-qualification to filter the wrong buyer out at the form. Lead volume dropped 40%. Revenue rose 60%.
Same sales team. Same offer. Different architecture decision about who gets to enter.
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The single highest-leverage decision in your business is one most founders never make on purpose.
Who gets to be your customer.
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Customer selection isn't a marketing decision. It's an architecture decision. It sets product complexity, support cost, brand quality, refund rate, team morale.
Pick wrong, and the business compensates every quarter. AI just made that cost visible.
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You don't have five revenue streams. You have one revenue stream and four hobbies your accountant tracks. AI is going to expose which is which faster than you want.
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Jun 13
A $20M ecommerce founder I sat with in 2022 told me his business had "five revenue streams."
We mapped it: 87% of profit came from one SKU, one customer segment, one paid channel. The other "streams" were rounding errors he'd called diversification.
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Jun 13
A $20M ecommerce founder I sat with in 2022 told me his business had "five revenue streams."
We mapped it: 87% of profit came from one SKU, one customer segment, one paid channel. The other "streams" were rounding errors he'd called diversification.
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Jun 13
Your business has a load-bearing wall.
It's the one decision, the one customer segment, the one product, the one channel holding the whole thing up. Take it out and the structure collapses.
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Jun 13
Most founders can't name theirs. The ones who can are the ones who survive contraction.
AI compresses every contraction cycle from years to quarters. Naming the wall now is a survival skill, not a strategy exercise.
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Jun 13
Two weeks in. We've covered what Camp Three is killing and what they're rebuilding.
This week: the architecture decisions that decide who survives the Leverage Age.
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Jun 13
The load-bearing wall. The constraint identification. The system completeness rule. The information diet. The execution filter that AI removes.
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Jun 13
Architecture is invisible until something breaks. AI is breaking the architectures most 7-figure businesses were never going to survive long-term anyway. The next 18 months just compresses the timeline.
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Jun 12
A $12M ecommerce founder I worked with in 2025 had a 9-tab metrics dashboard.
We deleted seven tabs. Kept two: revenue per employee and customer 12-month LTV.
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Jun 12
Six months later, every decision was faster, with less argument, toward outcomes that compounded.
The seven deleted tabs hadn't been informing anything. They'd been giving the team plausible reasons to argue about the wrong things.
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Jun 12
The only metrics worth tracking in your business right now are the ones that compound.
Revenue per employee. Customer 12-month LTV. Brand recognition in your category. AI adoption depth, not breadth. Memory architecture maturity.
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Jun 12
Everything else is noise. Most founders are tracking 14 KPIs and three of them actually compound. The other 11 are decoration that makes the dashboard look serious.
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Jun 12
The night you find out your spouse cheated, you don't learn one fact. You re-evaluate ten years of them. Every late meeting. Every weekend trip.
The memories don't change — what they mean does.
Your brain does this automatically. Your AI's memory can't do it at all. ↓
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Jun 12
I open-sourced this in April. No ads, no launch push — just the repo.
Since then: a contributor I've never met designed a feature that shipped to master as proposed. Issue tracker: zero open. ~34 different machines still clone it every two weeks.
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Jun 12
See the loop close in 12 seconds: clone it, run demo.sh. A fact changes. Ripple propagates. A contradiction surfaces. You resolve it in markdown.
Code: github.com/RichSchefren/atla…
90-second demo: livememory.pages.dev
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