.@EverMind's Yellow meets @AWSstartups's Yellow Thanks to AWS startup for the invite. @louiselu007 and I had a great time at the AWS Startup Builder event at the AWS Builder Loft in San Francisco. The room was full of people talking about agentic AI and agents, and of course a lot of debate about Chinese frontier models versus US frontier models. It made me realize how lucky I am to speak both Mandarin and English. I met native English speakers there who are really eager to learn Chinese. I spent ten years in the US and loved it. I got my bachelor's there, built my skill set, met a lot of interesting people, and worked there for six years. I loved the diversity, and burgers, fries, and pizza are still my favorites. Then I moved back to China, where I grew up, where my parents and friends are, and where I met my beautiful wife. I love living there too. I was lucky enough to keep working as a developer, then moved into AI, and now I'm doing DevRel at EverMind. So to me, the AI race isn't only a competition between two countries. It's also a chance to bridge the cultures and languages between them. For years I've wanted my American friends to come visit China. The cities are beautiful and the people are friendly, and honestly, it looks a lot different from what you see in the news. Come visit. I promise you won't regret it.

EverMind is Hiring: Technical PM (Agent OS & Memory) Based in Silicon Valley | Shanghai | Beijing What we need: Tech + Product: Deeply understand Agent execution mechanics under the hood (OpenClaw/Hermes Agent is a +). AI-Native: Fluent in Vibe Coding. You can spin up working demos yourself to validate concepts. LTM Focus: Intensely driven to build an Agent OS with true Long-Term Memory. Flexible setup: Open to part-time/intern as a trial. DM me to chat!

Some of our favorite people in the open-source world have become EverMind Ambassadors: @li9292, @zstmfhy, @Synslius, @xiqingongzi, @Tz_2022 Open source has never been only about code. It’s built by people who care enough to contribute their time, energy, ideas, and passion, often simply because they believe in what a community can become. That spirit means everything to us. Our ambassadors aren’t defined by whether they write code. They contribute in some of the ways that matter most: organizing events, sharing thoughtful feedback, supporting users, running communities, connecting people, and helping ideas spread. That’s the kind of contribution that makes open source real. We’ve had the chance to work alongside truly generous and talented people, and we’re proud to be building more closely with them. With these ambassadors and the wider EverMind community, we’re excited about what we’ll build together, online and off.

That memory guy is in SF this week. I'll be at the AWS Startup Day SF 2026 - Go Agent & Go Global event this afternoon. If you've ever had an agent forget something you told it five minutes ago, come find me. At EverMind we build memory for agents, so your agent remembers what you told it, and it will always remember your name. I'll try to remember yours too. No promises, I'm not running on EverMind. 😏

Our CEO, Yafeng Deng, joined INCLUSION · Conference on the Bund to share EverMind’s work on memory and agent self-evolution. The talk explored the whole agent, rather than the LLM alone, as a possible analogy for the human brain, and the prospect of building a trainable agent framework that continuously learns from user data. Memory is central to that exploration. Thank you to everyone who came in person and asked thoughtful questions. We appreciated the chance to discuss the work face to face.

AI self-evolution is undoubtedly the ultimate core of next-gen AI—and true evolution is fundamentally built on Long-Term Memory. 🧠 At EverMind, we believe every AI of the future must have long-term memory. If you want to build an AI that continuously adapts and unlocks a massive data flywheel, you need EverOS. ♾️ The update we’ve been polishing for ages is FINALLY live! 🚀 It's way more than just a product update—Methods, Benchmarks, Usecases, and a fresh site are all here. Here’s the breakdown: 👇 1️⃣ EverMemOS ➡️ EverOS: The ultimate one-stop shop. EverOS now empowers your Agents with self-evolution capabilities—just like Hermes Agent. Plus, we’ve added full multi-modal support. Use our Methods to customize Usecases into your own Agents, then benchmark to optimize them. It's the absolute all-in-one king. 👑 2️⃣ EvoAgentBench is LIVE & Open-Source: The perfect tool to test your custom Claude Code, OpenClaw, Hermes, or any Agent you throw at it. 📊 3️⃣ Brand New Website: Aesthetics matter. The new vibe, colors, and interactive experiences are absolutely off the charts. 🎨🔥 Dive in here: #EverOS# #AI# #AgentTools# #Harness# @Memory #OpenClaw# #Hermes# #ClaudeCode#

Memory Genesis Competition 2026 is in last call — submissions close on March 15. You're also welcome to join us on April 4 at the Computer History Museum for an in-person gathering and high-signal conversations with the EverMind core team and leaders across OpenAI, AWS, research institutes, open-source communities, and the investment world. Guess who will you meet? Follow the competition website for the latest updates: #AIMemory# #AgentMemory# #EverMemOS# #AgenticAI# #Hackathon# #Developers# #AIInfra#

Wild week in AI. Muse somehow got Kim Kardashian's butt. Grok Bot is still out there doing its thing, and not because of Elon, because of poteto. Manus shipped Cue. OpenAI's personal agents are almost here. World Labs is joining AMD. And yet the biggest news of the week, at least in my house, is that EverMind is releasing Raven 🐦‍⬛

SkillCorpus just crossed 600 GitHub stars, and our demo dataset passed 100 downloads on Hugging Face in the past month. Thanks for taking a look. If you’re new here: SkillCorpus helps agents find procedures for the task in front of them. It collects public SKILL.md files, applies quality, safety, and license checks, removes duplicates, and retrieves relevant instructions, references, and scripts. Recent updates include OpenClaw 2.0 support and on-demand skill_search. Your agent can look up a procedure partway through a task, when it needs one. We also support retrieval across local skills, EverMind SkillHub, ClawHub, and with filtering and deduplication before the final selection. Want to explore the pieces yourself? The curation pipeline, embedding model, reranker, and a 1,000-skill sample are public. The sample includes the supporting files shipped with those skills. More skills are coming. What’s a task your agent still needs too much hand-holding to finish?