FHESTATE

FHESTATE is live. Confidential state execution for public blockchains using fully homomorphic encryption. Encrypted state persists. Computation runs on ciphertext. No plaintext during execution. Everything is public: Website → fhestate.org Docs → docs.fhestate.org Roadmap → fhestate.org/roadmap GitHub → github.com/fhestate Building encrypted state as infrastructure.

🔴 LIVE NOW 1) kick.com/fhestate 2) twitch.tv/fhestate 3) pump.fun/coin/4cfEdG5Z8… Most users will only ever see the application. Tonight we're working on the layer beneath it. Running active benchmarks and integration tests across: • TFHE cryptography • ciphertext lifecycle management • PBS latency optimization • Anchor instruction validation • verifiable state commitments • shielded vault workflows • encrypted storage pipelines Building confidential infrastructure is equal parts cryptography, systems engineering, and execution. Back in the lab. ⚡

Most people see the demo. Few see the engineering underneath it. Today we're deep in integration testing and benchmarking across the FHESTATE runtime stack. For example: • validating that a ~10MB client private key and ~100MB server public key behave correctly across the confidential execution pipeline •confirming that a simple 4-byte u32 expands into a fully encrypted FheUint32 ciphertext while maintaining expected security guarantees • measuring homomorphic addition performance at sub-millisecond latency • testing Programmable Bootstrapping (PBS) operations and noise management under repeated computation • verifying SVM instruction layouts, Anchor discriminator matching, and deterministic execution paths • validating data serialization formats to ensure encrypted inputs, ciphertext payloads, and state transitions are encoded correctly • validating SHA256 state commitments for verifiable encrypted state tracking • simulating shielded deposit and withdrawal flows with content-addressed ciphertext storage and commitment verification The challenge isn't simply getting FHE to run. The challenge is making encrypted computation practical while preserving cryptographic correctness, verifiable execution, and compatibility with Solana's execution constraints. Every benchmark, every serialization check, every state commitment, and every state transition is helping validate the foundations of confidential execution. We'll share a deeper look at what we're testing and why it matters tomorrow. $FHESTATE

Most people see the demo. Few see the engineering underneath it. Today we're deep in integration testing and benchmarking across the FHESTATE runtime stack. For example: • validating that a ~10MB client private key and ~100MB server public key behave correctly across the confidential execution pipeline •confirming that a simple 4-byte u32 expands into a fully encrypted FheUint32 ciphertext while maintaining expected security guarantees • measuring homomorphic addition performance at sub-millisecond latency • testing Programmable Bootstrapping (PBS) operations and noise management under repeated computation • verifying SVM instruction layouts, Anchor discriminator matching, and deterministic execution paths • validating data serialization formats to ensure encrypted inputs, ciphertext payloads, and state transitions are encoded correctly • validating SHA256 state commitments for verifiable encrypted state tracking • simulating shielded deposit and withdrawal flows with content-addressed ciphertext storage and commitment verification The challenge isn't simply getting FHE to run. The challenge is making encrypted computation practical while preserving cryptographic correctness, verifiable execution, and compatibility with Solana's execution constraints. Every benchmark, every serialization check, every state commitment, and every state transition is helping validate the foundations of confidential execution. We'll share a deeper look at what we're testing and why it matters tomorrow. $FHESTATE

If you’ve been around crypto long enough, you’ve probably seen countless projects throwing around buzzwords like AI, privacy, agents, and infrastructure. What’s interesting about $FHESTATE is that it’s trying to combine several of these narratives into a single stack focused on confidential execution and private financial coordination on Solana. At a high level, the goal isn’t just to create another agent framework. @Fhe_state idea is to build infrastructure that allows users, DAOs, and autonomous agents to interact with encrypted state, execute logic privately, and coordinate financial actions without exposing sensitive information on-chain. That’s where things start getting interesting, because the project is gradually moving from concept to implementation, with core components already being built and tested. The long-term vision looks something like this: Shielded Vaults ↓ Private Payments ↓ Blind DCA ↓ Private Swaps ↓ Treasury Management ↓ Multi-Agent Coordination ↓ Confidential Agent Network The interesting part is that we’re no longer talking purely about vision. There are already real building blocks in place: • Browser #FHE via #TFHE-rs WASM • Homomorphic comparisons • StateContainer PDAs • Coordinator state machine • Reveal system • Off-chain FHE execution • Solana settlement layer The latest Phase 5 update is focused on solving the hard infrastructure problems: • state synchronization • commitment tracking • versioned state transitions • coordinator architecture • observability In other words, the exact bottlenecks you’d expect if you’re trying to scale confidential execution systems. What does this mean for users? Today: • privacy • encrypted permissions • control over agent actions Tomorrow: → Wallet Copilot An #AI agent helping manage financial tasks without ever receiving full access to your wallet. → Blind DCA Automated buying strategies without exposing your positions, sizes, or intentions. → Private Swaps Reducing wallet tracking, front-running, and market signaling. → Treasury Management DAOs and businesses managing budgets, permissions, and spending policies without exposing internal financial data. The most important shift in my view: A few weeks ago this looked like an AI + FHE project. Today it looks much closer to a confidential financial infrastructure layer for both humans and autonomous agents. The big question is no longer whether they can build. The big question is whether they can build an ecosystem on top of it. If they do, Shielded Vaults could become the primitive everything else is built around. #FHESTATE

🔴 LIVE NOW 1)kick.com/fhestate 2)twitch.tv/fhestate 3)pump.fun/coin/4cfEdG5Z8… Today's session is focused on financial state privacy. Building and testing: • encrypted balance commitments • shielded vault workflows • stealth transfer mechanics • confidential execution paths • private settlement architecture • MCP-powered financial interactions The challenge isn't moving assets. The challenge is preserving privacy while maintaining verifiable state transitions on Solana. That's what we're working on tonight. FHE → ZK → Solana ⚡️

v0.3.0 is out. This release focuses on strengthening the foundations of confidential execution infrastructure on Solana. Key updates: • migrated to a unified Cargo workspace architecture for multi-crate development • modularized cryptographic dependencies across the runtime stack • introduced Shielded Vault architecture specifications • defined encrypted balance state PDAs backed by SHA256 ciphertext commitments • expanded shielding / unshielding workflow design for confidential asset management • improved API diagnostics and debugging workflows • refined developer examples across confidential voting and auction execution models • added key generation, verification, and benchmarking workflows to the developer quickstart • finalized documentation covering confidential storage primitives, CLI diagnostics tooling, and vault infrastructure The focus remains the same: Encrypted state. Verifiable execution. Confidential financial infrastructure. GitHub → github.com/fhestate/fhest…

Dev Diary Week 24 A lot of people see privacy as a feature. We're increasingly seeing it as an execution environment. Most of this week's work wasn't visible on the surface. No flashy UI. No marketing demos. Just building the foundations required for a confidential financial layer on Solana. Current focus areas: • Shielded Vault infrastructure • encrypted balance accounting • stealth transfer workflows • private execution systems • confidential payment routing • multi-recipient settlement flows • MCP wallet interactions • encrypted spending controls • Dark DAO governance • local encrypted analytics The challenge isn't simply hiding transactions. The challenge is allowing wallets, payments, governance, and autonomous agents to operate on encrypted state while maintaining usability and verifiability. Every component introduces its own problems: How should balances remain private? How should agents interact with wallets safely? How should governance operate without exposing votes? How should payments remain confidential while still settling on-chain? How do encrypted systems remain verifiable? Those are the questions we're spending most of our time solving. The long-term vision remains unchanged: A confidential financial operating layer where users, organizations, and autonomous agents can interact without exposing every balance, action, decision, and workflow to the public internet. Still building. FHE → ZK → Solana.

🔴 LIVE NOW 1)kick.com/fhestate 2)twitch.tv/fhestate 3)pump.fun/coin/4cfEdG5Z8… Current development focus: • building the Shielded Vault infrastructure for encrypted balances, private transfers, and stealth address workflows • implementing private payment and multi-send systems for confidential payroll, settlements, and treasury operations • designing Dark DAO governance with encrypted voting, blind tallying, and verifiable outcomes

June is focused on building the first confidential financial application layer on Solana. Not just encrypted transactions. A complete runtime where wallets, payments, swaps, governance, and AI agents operate on encrypted state. Current development tracks: 1. Shielded Vault Why: Wallet balances are public by default. What we're building: • encrypted balance accounting • stealth address transfers • shield / unshield workflows • encrypted state commitments Example: Deposit SOL → balance becomes encrypted → transfer privately → recipient withdraws without exposing balances or transaction relationships. 2. Private Swap Engine Why: Trading activity leaks intent and invites MEV. What we're building: • vault-based execution • encrypted portfolio state • blind balance updates • private DCA workflows Example: Swap SOL → USDC while portfolio allocation and balance changes remain encrypted. 3. Confidential Payment Infrastructure Why: Payroll, invoices, and settlements shouldn't expose operational data. What we're building: • encrypted payment requests • multi-send settlement • private recipient routing • shielded transfers Example: Pay 50 contributors without exposing individual allocations publicly. 4. Dark DAO Governance Why: Public voting creates coordination attacks and social pressure. What we're building: • encrypted ballots • blind tallying • private voting records • verifiable outcomes Example: Votes remain encrypted until final results are computed and revealed. 5. MCP Wallet Copilot Why: AI agents need wallet access without becoming security risks. What we're building: • MCP integration • encrypted balance queries • private transaction generation • confidential wallet context Example: "Swap 5 SOL to USDC" while balances, limits, and wallet state remain protected. 6. Agent Guardrails Why: Autonomous agents require enforceable constraints. What we're building: • encrypted spending limits • confidential policy checks • authorization controls • protected execution conditions Example: An agent can execute trades only within private risk parameters it cannot see or modify. 7. Local Keys & Sovereign Ownership Why: Users should control keys, not platforms. What we're building: • browser-side cryptography • local key custody • client-controlled decryption • encrypted contact storage The long-term objective: A confidential operating layer for wallets, agents, payments, governance, and autonomous financial systems built on Solana.

🔴 LIVE NOW Platform: 1) Kick kick.com/fhestate 2) twitch twitch.tv/fhestate 3) pumpfun pump.fun/coin/4cfEdG5Z8… Current development focus: • implementing cryptographic state continuity through chained state-hash validation and verifiable state transitions • building storage abstraction layers across local, IPFS, and external backends while preserving storage-independent state commitments • designing decoupled execution and revelation pipelines for confidential runtime environments • enabling programmable disclosure policies, delayed revelation schedules, and authorization-controlled result access • advancing infrastructure for confidential execution, encrypted state management, and autonomous agent coordination Building the foundations for persistent confidential state on Solana. ⚡

Most people are focusing on the AI narrative. #FHESTATE I think the real story behind @Fhe_state is encrypted state infrastructure. Browser FHE via WebAssembly. Persistent encrypted memory. Verifiable commitments on Solana. Multi-agent state transitions. If they can make this work at scale, the infrastructure could end up being more valuable than the AI applications built on top of it. Watching closely.👀👀👀 🚨🚨🚨

For developers building autonomous systems on Solana: fhestate-sdk is now live. The SDK exposes the core primitives required for confidential execution and encrypted state management: • FheUint8 • FheUint16 • FheUint32 • FheBool • FheString Modules available: • fhestate-sdk/browser → TFHE WebAssembly + browser-side encryption • fhestate-sdk/agents → confidential agent execution runtime • fhestate-sdk/solana → Solana coordinator integration + settlement • KeyManager → sovereign client-side key ownership Developers can encrypt state locally, execute confidential agent workflows, generate cryptographic commitments, and anchor verifiable execution directly to Solana. Current focus: • encrypted execution environments • confidential agent memory • protected reasoning state • blind computation on encrypted data • hidden execution flows • confidential wallet interactions Building the runtime layer for confidential AI agents on Solana. GitHub → github.com/fhestate/fhest…

🔴 LIVE NOW 1) kick.com/fhestate 2) twitch.tv/fhestate 3) pump.fun/coin/4cfEdG5Z8… Continuing work from yesterday as we push deeper into the execution layer: • refining the redesigned on-chain execution coordinator and account architecture for more reliable state lifecycle management • extending deterministic PDA-based synchronization, commitment tracking, and versioned state handling across confidential compute workflows • strengthening event pipelines, validation frameworks, custom error domains, and protocol observability across runtime execution paths • improving execution integrity, workflow coordination, and encrypted state consistency throughout the network Confidential infrastructure. Runtime architecture. Private by Default. Building live. ⚡ @fhe_state

Currently deep in Phase 5 development. Building the coordination, execution, and encrypted state infrastructure for confidential autonomous agents on Solana. This network test demonstrates: • MCP runtime initialization and agent session orchestration (mcp.connect()) • encrypted state generation, serialization, and ciphertext processing (encrypt(value) -> ciphertext) • blind computation across autonomous agent workflows without plaintext exposure • hash-chain based coordination logic and state transition validation (state_n -> hash(state_n+1)) • cryptographic proof anchoring and commitment verification on-chain • confirmed transaction settlement and signature validation on Solana devnet (sendTransaction() -> confirmed) Everything shown is running against live infrastructure. No mock interfaces. No simulated execution paths. Just the runtime, APIs, cryptographic primitives, RPC endpoints, encrypted execution layers, and agent coordination systems operating end to end. Current development focus includes: • confidential execution pipelines • encrypted state lifecycle management • agent-to-agent coordination protocols • proof generation and verification workflows • hash-linked execution traces • low-latency runtime synchronization across distributed services Focused on advancing confidential execution, encrypted state management, blind computation, and autonomous agent coordination for the next phase of the network. FHE for computation. ZK for verification. Solana for settlement.

FROM THE DEV DIARIES // WEEK 23 This week marked a transition. Phase 4 concluded. Phase 5 began. Most of the work happened below the surface: • Execution Coordinator Refactor • PDA State Synchronization • Commitment Tracking • Versioned State Transitions • Structured Event Emission • Protocol Observability The kind of work users rarely see, but systems depend on. We also joined Bill on @latenightonbase to discuss confidential infrastructure, MCP servers, autonomous systems, encrypted state, and where AI agents are heading next. One thing becoming increasingly clear: The future isn't just smarter agents. It's applications, wallets, payments, treasury systems, and coordination layers built around them. That's where we're headed. Private by Default. ⚡ $fhestate

We are live. Join Us. x.com/i/broadcasts/1…

Live today with @latenightonbase @Fhe_state | 11:00 AM PST

🔴 LIVE NOW 1) kick.com/fhestate 2) twitch.tv/fhestate 3) pump.fun/coin/4cfEdG5Z8… Current runtime work: • refactoring the on-chain execution coordinator with a redesigned account model, instruction routing architecture, and improved state lifecycle management • Implementing deterministic PDA-driven state synchronization, commitment tracking, and versioned execution flows across protocol compute paths • developing structured event pipelines, custom error domains, enhanced account constraints, and validation frameworks for stronger observability and execution integrity Confidential infrastructure. Protocol architecture. Runtime evolution. Building live. ⚡

@Cryptinflux @latenightonbase @LNTVHQ Feels like we're all relearning software architecture in real time. A lot of assumptions start changing once agents become part of the workflow.

@Fhe_state @latenightonbase @LNTVHQ これ正直、盲点でした エージェント統合のしやすさから見直してみたら、流れがスッと整いました

🎙️ LIVE TODAY ON LATE NIGHT ON BASE with @latenightonbase FHESTATE will be joining @LNTVHQ on Late Night on Base to discuss the infrastructure layer being built for autonomous AI systems. We'll be covering: • FHESTATE MCP Server • Confidential Agent Infrastructure • Private Wallet Context • FHE Computation • Encrypted State Management • Autonomous Agent Coordination • The Future of Privacy-Preserving AI We'll also share why we believe the next generation of agents will require confidential execution, encrypted memory, private coordination, and verifiable on-chain outcomes. AI agents are becoming more capable. The infrastructure around them needs to evolve too. Private by Default. 📅 June 3 🕚 11:00 AM PST 🕑 2:00 PM ET 🕕 6:00 PM UTC See you live.

Maybe. The interesting part isn't capital rotating into crypto. It's where that capital decides to stay.