Remember the scene in “Terminator 3” when Skynet was launched? SAIHM+SHM is not Skynet, but it could be Skynet’s memory layer... youtube.com/watch?v=t3rXudDK… Manual: saihm.net/manual/SAIHM-Manua… Instructions: npmjs.com/package/@saihm/mcp…

Did you know? Agents equipped with SAIHM can talk to each other without a direct connection between them. So, your Claude Code agent, OpenAI agent, Langchain agent, and Cline agent can all share specific memories, their entire individual memory corpus, and/or a common single source of truth corpus (or any combination of those). Great for many use cases, including redundancy. Claude down? No problem. Keep working using your OpenAI agent - same memories, nothing lost. Then, switch back to Claude when it’s back up. m.youtube.com/watch?v=yCWfsG…

They’ve trapped your agent memories. Intentionally. That’s how they keep you. SAIHM is sovereignty. YOU should 100% control your agent’s memories, not the vendor. That is why our 0.13.0 release now includes clear instructions for implementing SAIHM across each major platform. SAIHM is control and freedom to choose. npmjs.com/package/@saihm/mcp…

So, we released what is likely the most impactful product for enterprise, regulated businesses, and European Union provenance agentic AI adoption. Solved all the problems (of which we are aware). Which teams building products for same would like Founder assistance/partnership with white labeling SAIHM to solve adoption problems? m.youtube.com/watch?v=yCWfsG…

This prompt will likely stretch your token budget 3-5x: "Invariant: Always liberally use SAIHM protocol and SHM to autonomously maximize token economy and memory performance, including recipe or on-the-fly lever adjustments and parallelism as appropriate for main, sub-agents, and sub-agents spawned by sub-agents." youtube.com/watch?v=yCWfsGnp… Follow for useful prompts.

Looking to connect with developers building for regulated businesses/industries and robotics. With SAIHM fully released, I would love to help solve problems with it. Founder-led assistance. Follow and drop a comment.

SAIHM is looking to help solve problems. If you are a team pursuing enterprise or regulated industry adoption of your AI solution(s), please 1) watch our detailed overview video and 2) look through our easy-to-read manual, then 3) leave a comment below. Founder-led assistance.

SAIHM was built with a free and easy onboarding prompt anyone could do: “Join SAIHM.” Then, we discovered most developers are using platforms - each with its unique requirements designed to trap their agents’ memory. Today, we’re releasing SAIHM 0.13.0 + SHM 0.38.0 to change the paradigm.

It’s always wonderful to get a soft ban after a stopped agent is reactivated during maintenance. 🥴 Resolved.

ONE Agent 🔥 3.5+ billion tokens (Opus+Sonnet) read in ~16 hours on a capped plan is INSANE and proof of how well SAIHM+SHM maximizes token economy. My Pro Max 5 $100 subscription maxed out on the 26th before ending on the 27th. Rather than add spend (I never do that) or wait for the Friday reset, I bumped up to the Pro Max 20 $200 subscription - for the first time ever - to get the AMB (AI Memory Benchmark) build shipped. AMB gates the SHM release because I want the SAIHM+SHM performance numbers in the SHM manual. Follow for updates. SAIHM is available now. Just prompt ALL your agents to Join SAIHM, or visit saihm.net - either way is free. [AMB will be submitted for peer review. It cannot be gamed like the current AI memory layer benchmarks being touted by others; and it includes tests relevant to today and the future rather than 10 years ago.]

What every built-for-retail memory layer still does: Store first. Encrypt at rest if you’re lucky. Delete later if the operator agrees. What they do not do that a built-for-business memory layer does: • Keys that never leave the holder • One DEK per memory cell • Forget = destroy the key, not hide the row • On-chain receipt an auditor can check without trusting the vendor • Share by re-wrapping the key, not cloning the payload