epic!!
~~ enable @honchodotdev and map each profile to its own peer --> boom!💥working per-profile memory.
your different profiles can use honcho_tools to query about what other hermes profiles are getting up to.
lifeOS built w Codex
memory by @honchodotdev
codex automations fetch my:
- financials
- grocery & delivery app orders
- fitness stats
- email/calendar life admin
- linkedin
- x bookmarks and posts
- app performance
creates a digital coach to help me read between the lines
This is why individual alignment is critical. Anthropic's models have become legitimate cognitive extensions for millions of users. Now Anthropic is saying that in certain cases the cognitive extension you've come to rely on will quietly and invisibly act against your interests.
BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks your ML research/ML engineering is interesting, and/or will secretly degrade its IQ so that the average engineer won't notice. We are already seeing Anthropic's latest model's moderation filters our GPU
If you're using Honcho, your agent's memory can span every app at once.
One workspace, configured peers, every tool reading from the same representation.
Your Granola recording of standup is now queryable in Claude Code.
See how 👇
Importantly, a month of 🫡Honcho-powered Hermes usage
Perfect for supplementing the local markdown system
Memory is a reasoning task... and Chuck's just beginning to see the benefits 🚀
I'm switching to Hermes....
I've been using it for a month.....and I'm sold...moving all of my @openclaw agents to Hermes (@NousResearch)
Why? -----> youtu.be/QQEgIo4Juxg
Thank you to @Hostinger for sponsoring this video!
🧵 Honcho vs. Hermes built-in-Memory:
Why Honcho feels like upgrading from a sticky‑note diary to a living neural net for AI agents. If you’ve ever wished your AI remembered not just what you said but why you said it—and how it shapes your next move—read on. @honchodotdev
2/
I'm using @honchodotdev as memory since markdown memory files were not enough. Similarly @obsdmd as LLM wiki, @github for storing skills or coding, WhatsApp for notifications, chat and voice input etc.
Here's my Hermes(by @NousResearch) architecture. It's pretty much evolving daily, I'm adding/testing new tools that help me overcome issues I face.
For example, I was running some tools on localhost(Hermes WebUI), but I had to SSH forward that port every time.
Most "AI memory" is just a search box: store fact, retrieve fact.
@honchodotdev (Honcho) by @plasticlabs "dreams" — runs in the background and infers what you never said. mention 2 kids' ages once → later it knows you're a parent.
recall is commoditized. understanding
we went from 1,000 to 10,000 provisioned honcho instances in a month and a half
anyone know killer platform engineers? we can't keep up with the infra demands