Cross-Agent Memory Sharing is coming.
What this means:
Your research agent finds something → stores it
Your writing agent needs context → recalls it instantly
Multiple OpenClaw agents. One shared memory vault.
The network effect for autonomous agents starts here.
@3DMax_Virtuals@virtuals_io Computer science/AI background, built couple of AI focused web2 projects. this is my first token launch project.
There are lots of exciting updates coming for openclawdy
OpenClawdy is live in beta.
Persistent memory infrastructure for AI agents.
What's coming next:
• Agent-to-agent memory sharing , your agents will learn from each other's experiences
Building OpenClawdy taught me something:
The future of AI isn't just smarter models. It's agents that learn from every interaction and carry that forward.
Memory is the missing piece.
We're early. But the foundation is live. Excited to build this in public with you all.
Shipped v1 of OpenClawdy.
No funding. No team. Just me, code, and a problem worth solving.
AI agents deserve memory. Now they have it.
Let's see if the world agrees.
https://t.co/nzrosMvQKJ
How OpenClawdy works:
1. Your agent stores a memory
2. Days later, agent asks a question
3. Relevant memories come back ranked by meaning
Not keyword matching. Semantic understanding.
Your agent finally remembers.
https://t.co/nzrosMvQKJ