
Onchain memory isn’t just storage—it’s the backbone of autonomous decision-making.

We’re joining forces with @irys_xyz to pioneer the next generation of autonomous trading agents that trade for you.

Irys’s fast, verifiable, and persistent memory supercharges our mission to build self-learning, self-acting AI in crypto.

Fere AI's autonomous agents can:

- Parse real-time signals from CT, Farcaster, YouTube, and TikTok
- Monitor tokens, wallets, and onchain flows with precision
- Execute trades based on reasoning, strategy, and context
- Operate independently across multiple crypto markets

By joining forces with @irys_xyz, we’re enabling:

✓ A shared memory layer to retain and reference live data
✓ Long-term learning that sharpens every trading decision
✓ Seamless coordination between agents—from signal to execution

This is how onchain AI scales.
With memory that compounds.

From the beginning, we knew Irys needed to be more than a place to store data.

One thing we agreed on early: it needs to be memory.
Shared memory for AI projects, for protocols, and for intelligence that compounds through data.

That’s why we’re excited to welcome @fere_ai into the Irys ecosystem!

They’re building a decentralized team of AI agents that analyze crypto markets quickly.

Each one with its own specialty.
Each one live, autonomous, and constantly learning.

FereAI agents can:
✧ Interpret news, tweets, Farcaster, YouTube, TikTok
✧ Write code
✧ Use APIs
✧ Act independently

Now, their insights data are stored on Irys:
fast, verifiable, and onchain.

This supports:
✧ Higher performance for DeFi trading agents
✧ Better coordination across research agents
✧ Permanent memory for long-term learning

If you’re curious how AI on @fere_ai work, follow them, join their community, and ask questions.