libp2p joins the Agentic AI Foundation: what it means for agents in production
Open networking now has a seat at the table for agentic AI. Here's what that means for teams running agents in production.
libp2p has joined the Agentic AI Foundation (AAIF) as an Associate Member, as the foundation passes 305 members in under a year.
Congratulations to the libp2p maintainers and the wider community who made it happen.
At Meshworks, we build on libp2p every day.
We've written before about why the Internet of Agents needs a shared networking layer: agent networks keep rebuilding peer identity, discovery, NAT traversal and pub/sub from scratch, when battle-tested open infrastructure already exists. Seeing libp2p in the room where agentic AI's open standards take shape is good news for everyone building multi-agent systems.
Alongside members like Ant Group, Nutanix, and NIST, this mix of open protocols, enterprise scale, and standards bodies signals that the industry is tackling the operational realities of agents in production.
Connecting agents is step one
Open protocols answer how agents find and talk to each other. Running those agents in production raises the next set of questions:
- What did my agents actually do?
- Can I prove it to an auditor, a customer or a counterparty?
- What is it costing me?
That's the gap Meshworks exists to close.
Observable, verifiable, affordable
Mesh Observe captures execution and network telemetry from multi-agent workflows and turns it into content-addressed, tamper-evident records. Instead of trusting logs, you get evidence you can verify. Storage is metered, so you pay only for the operational data you actually use.
Open stays open
libp2p remains a community-governed public good.
Need your agents to be observable and affordable?
Building on peer-to-peer?
We design and operate enterprise grade peer-to-peer networking infrastructure on libp2p.
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