The Chainlink Runtime Environment (CRE) is powering orchestration for secure and scalable agentic workflows to unlock next-gen applications using crypto & AI. How 7 leading platforms are leveraging CRE for AI-powered workflows ↓ First, a quick primer on CRE: CRE provides an all-in-one orchestration layer for building end-to-end institutional-grade smart contracts—smart contracts that are easily connected to external data, cross-chain enabled, compliance-ready, and privacy-preserving, which are able to securely interoperate across thousands of public and private blockchains, existing identity systems, and core financial infrastructure. • x402 by @coinbase is now the first AI payments partner to enable agents to autonomously pay for CRE workflows. The Coinbase Developer Platform (CDP) gives AI agents access to crypto wallets to perform onchain actions and make programmatic payouts via x402. • @SentientAGI is a partner AI lab building powerful open-source AI systems, including ROMA, OpenDeepSearch, and Sentient Chat. Sentient can leverage all Chainlink's data – Asset Prices, Macroeconomic data, and other real-world data and CRE capabilities like interop, payments, and consensus, which are then integrated into customized powerful AI agents. This enables AI to make smarter decisions based on onchain proofs and coordinate intelligence across Web3 and Web2 environments. • @gizatechxyz adopted CRE as the orchestration layer for reading onchain events and triggering agent logic focused on stablecoin yield optimization for USD1, dynamically deploying the stablecoin from World Liberty Financial across DeFi to maximize yield. This enables Giza’s yield optimization products, Arma and Pulse, to execute yield strategies across both stablecoins and other blue-chip DeFi assets. • Chaos Chain (@Ch40sChain) is integrating CRE the Chainlink Runtime Environment to provide a set of pre-checks for any payment flow. Agentic pre-checks can significantly decrease the number of third-party API calls, reduce latency, and enable businesses to trust agents with real value, allowing them to discover, collaborate, and pay each other via the x402 standard. • @codecopenflow is integrating the Chainlink Runtime Environment (CRE) with its CodecFlow SDK (OPTR) to power MechaShip, a decentralized delivery network. CRE acts as the event-driven orchestration layer, automatically reacting to onchain DeliveryRequested events to discover available mechas (via ERC-8004), request quotes (via x402), and rank agents. OPTR enables the autonomous mechas to register, calculate dynamic pricing, and maintain real-time status via heartbeat monitoring. • @ampli_inc is using the CRE for signing operations and powering its trusted execution environment to verify and authorize AI agent requests. The CRE enables agents to operate within guardrails and customizable policies that allow for compliant and secure operating environments. • ElizaOS leverages the Chainlink Runtime Environment (CRE) via its Spartan agent to power AI-driven execution. This enables the agent to autonomously manage liquidity, execute cross-chain arbitrage, and monitor protocol risk using real-time, on-chain data. Learn more about the Chainlink Runtime Environment—now live on mainnet for all developers: blog.chain.link/chainlink-ru…

The @SentientAGI Leaderboard is now live! Sentient is making open-source AI win. Their mission is to ensure Artificial General Intelligence is open-source and not controlled by any single entity. Find our who's driving forward their mission and mindshare. Link below! 👇

With the Open AGI Summit fast approaching, we’re thrilled to announce our next speaker 🥁 @sandeepnailwal, Co-founder of @0xPolygon and @SentientAGI, and CEO of @0xPolygonFdn He’ll be joining us at the Open AGI Summit @EFDevcon to share why Sentient is on a mission to make open-source AGI win.

SENTIENT RESEARCHER SPOTLIGHT: Salah Alzu’bi One of our core researchers working on multi-agent systems, @sala88232 holds an MS in Computer Science from @UMassAmherst and has contributed to research efforts at @GoogleDeepMind, @Meta FAIR, and @Microsoft Research. Across academia and industry, his work focuses on exploring the generalization capabilities of machine learning models, particularly LLMs. He coauthored FLAMe, a family of foundational autoraters for reliable automatic evaluation, and led our work on multi-agent systems through Open Deep Search and ROMA. At Sentient he works on exploring multi-agent systems for long-horizon tasks. His work on ROMA introduced scalable recursive control, atomize, plan, execute, aggregate, improving reliability, sample efficiency, and cross tool alignment on complex queries.

SENTIENT RESEARCHER SPOTLIGHT: Edoardo Contente One of earliest researchers to join the team, @edoardocontente graduated with a bachelor's degree in Physics at Princeton University, publishing his senior thesis on extending the theoretical framework of deep learning to analyze the initialization behavior and implicit bias of attention-based Transformer models, offering a modular blueprint and perturbative analysis that link general deep learning theory to the specific dynamics of modern Transformer architectures. After continuing and finishing his Masters of Science in Electrical & Computer Engineering at Princeton, Edoardo joined Sentient and has worked across a variety of research threads—OML 1.0, Open Deep Search, and most recently another paper on the robustness of fingerprints.

SENTIENT RESEARCHER SPOTLIGHT: Peiyao Sheng Peiyao earned her PhD in Computer Science at UIUC advised by Pramod Viswanath, was a visiting researcher at Princeton, and previously studied in the ACM Honors Class at Shanghai Jiao Tong University. One of our earliest researchers on the team @peiyaosheng works at the intersection of decentralized systems and AI agents, designing mechanisms that make open networks secure, governable, and measurable, then pressure-testing how agents behave atop those primitives. At Sentient, she contributed to OML 1.0 (Fingerprinting) and evaluation efforts like LiveCodeBench Pro, while advancing agent-security (fatal context-manipulation attacks on online/Web3 agents) and governance reasoning. Her research portfolio spans cryptoeconomic security and forensics for distributed ledgers—Proof of Diligence for rollups, BFT protocol forensics, TrustBoost for cross-chain trust, ACeD data-availability oracles, unconditionally safe light clients, proofs of backhaul for bandwidth attestation (NDSS ’24), and PoLoc proofs of location. This theme carries into practice: she co-founded Witness Chain to unify the DePIN economy and has industry experience at Chainlink Labs (with Dahlia Malkhi). Across papers and systems, her north star is clear: build cryptographically sound, auditable foundations so open models and agents can operate safely at scale.

SENTIENT RESEARCHER SPOTLIGHT: Sewoong Oh Director of AI Research at Sentient and Professor at the @UW’s Paul G. Allen School (previously UIUC), @sewoong79 leads our research efforts across the stack. After his PhD in Electrical Engineering at @Stanford, his work focused on differential privacy, federated learning, robustness, and optimization, including a stint at @Google, and he now leads research across Sentient’s main threads. He brings rigorous theory, including generalization under distribution shift, private and robust optimization, and online learning, into production-grade mechanisms, ensuring ownership proofs and behavior constraints that survive fine-tuning, distillation, and tool-augmented execution. His scholarship and leadership translate frontier research into deployed capabilities across Sentient’s stack, advancing verifiable attribution, safe model control, and practical privacy for real-world AI.

We’re excited to announce that @NeurIPSConf—the biggest AI conference in the world—has accepted 4 of our papers across various categories. Some might even call it “full-stack excellence” 😁 Here’s a sneak peek at our work that’s been recognized for their breakthroughs: ➡️ OML 1.0 (Main Track): scalable LLM fingerprinting—a hundredfold improvement on legacy fingerprinting attempts for open models, injecting 24,576 persistent prints while the previous max was ~100 fingerprints…without any drop in model performance. ➡️ LiveCodeBenchPro (Data & Benchmark Track): our customized benchmark focusing on programming ability, illustrating the true capabilities of models’ coding performance. On this benchmark, we were able to create models 10x smaller, using 20% of the data, to achieve comparable results to competing models. ➡️ MindGames Arena (Competition Track): selected by NeurIPS to run an AI competition for agents to improve themselves through social games. The next paradigm of AI improvement comes through self-optimization, and we’re extremely excited to be hosting this first-of-its-kind competition to create self-improving AI. ➡️ OML (Workshops & Tutorials—Lock-LLMs): our work established the challenge and solution around model security: a primitive that lets builders develop open models with verifiable, cryptographically enforced control under white-box access. Stay tuned for deep-dive threads throughout the week!

The Open AGI Summit returns this November at @EFDevcon in Buenos Aires 🇦🇷 Join leading researchers and builders for a focused day of discussion on creating an ethical, open, and decentralized path toward AGI. Brought to you by: @sentientagi Official Partner: @awscloud Join the global movement shaping the future of open-source AI. Tickets in the comments 👇

🤝 UnifAI x Sentient We’re joining forces with @SentientAGI to shape the next evolution of intelligence and finance. This partnership bridges Agentic Finance and Open Intelligence, empowering autonomous AI agents to learn, act, and evolve across decentralized systems. Together, we’re building an economy where AI and capital move seamlessly on-chain transparent, community-owned, and intelligent by design. Read the full announcement: 🔗 medium.com/@unifainetwork/un…

Next stop: Dubai 🇦🇪 @hstyagi will share Sentient’s path in making open-source AI win at @BlLife_Forum The future is being built today.

Last Friday Night 🎶 Our Korea BD Lead @namyura_ repped us as we gathered with 380+ members of the Korean community - uniting AI, crypto, and @SentientAGI builders to talk about advancing open-source AGI and what’s next on our roadmap. Huge thanks to everyone who joined us!