Introducing the libp2p Annual Report 2025 at the forefront of decentralized networking and AI. From securing global networks to powering next-gen data availability and light clients, libp2p continues to be foundational infrastructure for Web3 and beyond. Let’s dive in 👇

Very nice contribution, Abhinav :) Great to see experimentation around decentralized AI coordination using pubsub primitives. The generator/verifier model with peer-ranked consensus is neat. Wish to recommend to explore potential intersections with @libp2p, @IPFS. Keep it up :)

Thank you @manusheel — libp2p foundation made this possible. Spec doc here for review: github.com/TET-Network-Found… Particularly the /tet/v1/tmail topic isolation from consensus tx (B.1.2 in spec). Curious if that's the right approach for production-grade ephemeral messaging.

Thanks for your feedback. Wish to share that there is an opportunity to build open Agent Membership Protocols with @libp2p. Combining @libp2p identities with verifiable credentials decentralized coordination could enable agents to discover, authenticate, collaborate at scale.

TET Network sprint 3 milestone: Founder wallet now controlled by mnemonic (not hardcoded dev key). 2.5B TET allocated, signed transfers working end-to-end on local testnet. Found and fixed a critical bug pre-launch: dual genesis_hash implementations in tet-core. Single source of truth shipped. Phase 0 ship target: end of June. 🌱 #Rust #postquantum #libp2p @libp2p

Here is Episode 2 of my new podcast dedicated to conversations on the future of neurotech, computing, intelligence, and more. My guest Dr. Ben Rapoport is co-founder and CSO of Precision Neuroscience (@PrecisionNeuro_), Assistant Professor of Neurosurgery at the Icahn School of Medicine at Mount Sinai, and Scientific Director at Mount Sinai. Previously, he co-founded Neuralink and Simbionics (acquired by Apple). Precision is building a minimally invasive brain-computer interface (BCI) that reads from thousands of points on the cortex without penetrating it. The Layer 7 device is implanted through a one-millimeter slit in the skull rather than the larger borehole other approaches require. It is also fully removable. Precision seeks to help the 5 million people living with severe paralysis in the US (including 800,000 new stroke cases per year). In March 2025, Precision received FDA clearance for a temporary wired version of the system. Over 85 patients have been implanted with and used the device in clinical studies (50 at the time of our conversation). Wireless implants are planned for 2027. We go deep on the history of Neurotech from the 1980s to the ML inflection points that triggered Neuralink's founding, why surface ECoG was a contrarian bet that's now paying off, the path to treating paralysis and stroke at scale, and why Ben believes neural data is at the same inflection point genomic data was in 2000 — a whole class of biological problems about to become tractable as computer science problems. Chapters 00:00:00 Introduction 00:04:39 Paralysis as a lens to understand the brain 00:05:36 The 1980s breakthrough: population encoding and the birth of BCI 00:14:36 Google Translate, ML, and the founding of Neuralink 00:23:08 What is the long-term vision of Precision Neuroscience 00:31:56 Layer 7 and why transformative technology looks impossible at first 00:50:21 The surgery: a slit in the skull, not a borehole 00:55:19 The clinical program: who are the patients 01:04:16 FDA clearance and the path to wireless implants in 2027 01:08:32 The patient population: paralysis and stroke at scale 01:16:26 Neural data as the new genomics 01:30:06 BCIs, AI, and the future of the human-machine interface 01:31:22 From medical necessity to lifestyle technology 01:40:36 Precision as a platform — and an optimistic vision If you're interested in these kinds of discussions, subscribe to the podcast. And if there’s anyone you’d like to see or hear on the podcast, reply with your suggestions. Full Episode 2 here and in other platforms below.

Built a secure transport layer today for my p2p stack. Raw streams -> negotiated -> encrypted (Deffie Hellman ChaCha20Poly1305). Feels good seeing the pieces come together. github.com/lla-dane/rnet/pul…

Did an RTT benchmark in my P2P stack: Sequential ping → ~200–300μs (1s gap) Burst ping → ~30μs The gap was because of pure system behavior: scheduling reset cache locality warm vs cold execution paths github.com/lla-dane/rnet/pul…

rnet: github.com/lla-dane/rnet

The project was about - distributing the compute needed in training an ML model, - over a p2p network, - for faster throughput, - minimal hardware requirements github.com/lla-dane/P2P-Fede…

Re-ran this old one after months. Terminal looks beautiful after training an ML model over a p2p network using 2 trainer nodes.

Did an RTT benchmark comparing my experimental p2p stack vs @libp2p rnet → ~220–300μs rust-libp2p → ~130–250μs py-libp2p → ~300–400μs Same machine, loopback libp2p: TCP Noise Yamux rnet: TCP custom DH-based security Mplex ~60μs implementation overhead in rnet

Ethereum security also means understanding what your system reveals while it runs. LeakDetect by @manusheel helps teams test for hidden information leakage across wallets, AI agents, and multi-chain systems before adversaries can learn from it. Learn more: youtube.com/watch?v=UTYFnelt… Support: qf.giveth.io/project/leak-de…

Meet the judges. Dublin's Demo Day. Deirdre Halligan - Non-Exec Director @krakenfx Johanna Moran - Strategy Lead at @libp2p, prev. Head of Ecosystem @VennBuild @3_DavidMc - Biz Lead @CoWSwap @PeteTownsendNV - GP @NorioVentures and Podcaster @MNSShow Register below.

A huge thank you to our friends across the @libp2p, @multiformats, #IPLD, @IPFS, @Filecoin, @protocollabs, @aspiringapps , #NSUT for their motivation. We look forward to scaling this effort further, presenting LeakDetectAI x @IPFS at @IPFS #CID Congress: luma.com/ptrjn16w