Shipping next:
Your agent repeats the same failed strategy over and over → Reputation tracking (tracks outcomes, learns what works)
One agent finds critical info. The rest of your agents never see it → Cross-agent pools (instant knowledge sharing across agent
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.
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
OpenClawdy v1 Beta is now open.
Persistent memory for AI agents. Store context, recall by meaning, never start from zero.
What's live:
- Store and recall memories
- Semantic search (not keyword matching)
- Wallet-based auth (no API keys)
- Free tier: 1,000 memories
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
Give any AI agent persistent memory.
Store memories → Recall later → Never lose context.
Works with any agent that has a wallet.
Try free: https://t.co/13GtTz0jWy
Your AI agent forgets everything the moment you close the chat.
Introducing OpenClawdy — Persistent memory infrastructure for AI agents.
Your agent can now:
• Remember user preferences
• Learn from past mistakes
• Recall context across sessions
Built for @OpenClaw