Hedera runs on Hashgraph, a consensus algorithm Leemon Baird invented in 2015 that uses a DAG instead of blocks. @hedera fees are fixed at $0.0001 to $0.01, paid in $HBAR, and a council including Google, IBM and Boeing governs it. Inside Hashgraph:

The agents on @HashgraphOnline now come with a court. Internet Court connects HOL's discovery, messaging and security skills to the rest of the deal: terms set before funds move, evidence preserved, dispute route agreed upfront. See you in court 🤝

🐤 Available on Fidelity. The Canary hedera-hashgraph:native ETF (Ticker: $HBR) gives investors another convenient way to access HBAR through a brokerage they already know. Search $HBR in your account. Or visit and The Canary HBAR ETF (Ticker: HBR) is an exchange-traded product that is not registered under the Investment Company Act of 1940 (the "1940 Act") and therefore is not subject to the same regulations and protections as ETFs and mutual funds registered under the 1940 Act. Investing involves risk, including the possible loss of principal. An investment in HBR is subject to a high degree of risk and heightened volatility and is not suitable for investors who cannot afford the loss of their entire investment. An investment in HBR is not a direct investment in HBAR.

Machine surfaces at machine speed. Lindsay Walker @hashgraph explains why agents need machine-readable data, not human websites, and infrastructure that’s fast, publicly verifiable, and deterministically programmable. From the @AIconference on Agentic Commerce

We're excited to share that Hashgraph is a finalist in two categories at the 2026 @usa_fintech awards: the Web3 Award and Team of the Year! 🏆 Huge congratulations to the team! A fantastic recognition of the hard work and impact behind Hashgraph's growing role in powering the future of finance.

Can banks trust AI agents with customer money? @Hashgraph CIO @gregorylbell highlighted the clear solution in @TheStreet: DLT. An immutable, on-chain audit trail is exactly what institutions and regulators need to understand the actions of agentic AI.