Rich Schefren

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/a… 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/a…

Most 7-figure founders have built a job. AI is going to make that visible to the market faster than they want it to be. Build the business before the market exposes that you didn't.

The best AI use in copywriting isn't writing copy. It's listening to the customer at scale, which used to take a year and now takes a weekend.

The high-ticket coaching boom was built on selling information. AI dissolves information. Whatever isn't judgment, taste, or pattern recognition is going to be free by 2027. Plan accordingly.

AI doesn't fire your team. The math fires your team. AI just makes the math impossible to keep ignoring.

An AI strategy you can't implement in 30 days isn't a strategy. It's a paid hallucination.

The cheap tier is a tax on positioning. AI just made the tax compound 10x faster. Founders who can't kill the bottom of their ladder are going to find the rest of the ladder rotting from underneath.

You don't learn AI. You install it. Most founders are still trying to learn — that's why their results look like a course they half-finished. Install the memory. Then watch what changes.

AI writes confident copy. The customer doesn't buy confident copy — they buy copy that sounds like the conversation in their own head. Until you've heard that conversation 500 times, no prompt is going to fix the problem.

Using ChatGPT randomly is still YOU doing the work. You haven't changed the ratio. AI Theater is worse than doing nothing — it creates the illusion of adoption with zero structural benefit.

AI isn't replacing your team. It's exposing which parts of your team were already replaceable. That's a much harder conversation — and it's the one most founders refuse to have.

AI didn't change strategy. It just made the cost of bad strategy compound 10x faster. The founders who can't say no are the ones AI is going to expose first.

Most "AI for business" content is mounting electric motors where the steam engines used to be. Same building. New machinery. 3% gain over thirty years. Then they wonder why the revolution didn't happen for them.

@alexjax Very interesting. Is there really nothing better about Hermes?

@richschefren OpenClaw is better as an operator layer: channels, memory, cron, ACP, tools, workflows and your whole business stack already wired in. Hermes may be shinier; OpenClaw is usable infrastructure.

Is Hermes really as good as people say? How does it compare to Open Claw. #ai #business

@ghumare64 Oh nice. I built a memory system and I think it’s pretty robust I would love your feedback on it. You can find it pinned on my profile.

@richschefren Mostly content and prototyping ideas. Small commit and PRs

You can now give Hermes, Claude Code, and Codex infinite memory. For free. Agentmemory just dropped. It records what Claude does during your coding sessions. Compresses it with AI. Injects relevant context back into future sessions. CLAUDE md dumps 22,000+ tokens into context at 240 observations agentmemory: 1,900 tokens. same observations. 92% less. at 1,000 observations, 80% of your built-in memories become invisible. agentmemory keeps 100% searchable. benchmarked on 240 real coding sessions, not projected The numbers are wild: → Up to 95% fewer tokens per session → 200x more tool calls before hitting context limits → 100% open source 1000 GitHub stars already on one week. I've shipped 50+ production agents. Context limits have killed more sessions than I can count. This changes how you build with Claude Code. No more re-explaining your codebase every session. No more losing decisions after /compact. No more starting from scratch. Claude finally remembers. github.com/rohitg00/agent… (2.3K stars) ♻️ Repost if you're tired of context limits. 🙏 Follow for more production AI tools.

@ghumare64 What’s your experience been with it? What do you use it for?

@richschefren Yes, I use it for most of things.

@RoundtableSpace These are all impressive but I think the real value is studying the architecture of them and repurposing it for your specific needs.

Here are 10 GitHub repos that generate money while you sleep(bookmark this): 1. AutoHedge
github.com/The-Swarm-Corp… 2. Vibe-Trading
github.com/HKUDS/Vibe-Tra… 3. Claude Ads
github.com/AgriciDaniel/c… 4. Toprank
github.com/nowork-studio/… 5. Fincept Terminal
github.com/Fincept-Corpor… 6. Agentic Inbox
github.com/cloudflare/age… 7. ClawRouter
github.com/BlockRunAI/Cla… 8. Camofox Browser
github.com/jo-inc/camofox… 9. Open Higgsfield AI
github.com/Anil-matcha/Op… 10. Hyperframes
github.com/heygen-com/hyp… Credit: @robiartec

@adiix_official Pretty fantastic. I have a ton of friends in real estate that I’ve been trying to convince to get into AI. I got to send them this.

SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. Open source. Built on PlayCanvas. Free GitHub: github.com/playcanvas

@allen_explains @saidul_dev It’s amazing the amount of high quality education you can find on YouTube for free. I built my career off giving people top knotch education and it is super inspiring to see this stuff widely accessible.

Andrej Karpathy just dropped a 3-hour deep dive that most people would package as a premium course. Instead, it’s sitting on YouTube for free. It covers the full stack behind modern AI: • tokenization • neural network internals • hallucinations • tool usage • reinforcement learning and RLHF • systems like DeepSeek and AlphaGo This isn’t about prompts or shortcuts. It explains how these models are actually built and why they behave the way they do. People who understand the foundations don’t just use AI, they build entirely new things with it. The real difference isn’t the 3 hours. It’s what those 3 hours unlock over time.