GraphChain

⭐️ARCHAI is thankful to the Galactica.com team for their contribution. We are likewise excited to note our shared vision for both, the future of the Internet of Agents and the community-first spirit of the open source software development. 📈ARCHAI's AIKING pool, as initially envisioned, will be the pool merging the incentives of projects launching using ChainGraph framework. However, it won't be through launchpad deals. ARCHAI encourages contributions to this pool from anyone who benefits from the stack we have collectively built - in the spirit of open source software development and are grateful to the Galactica.com team for showing an example and kickstarting this trend. 🪙We are also excited to announce further ARCHAI token burns. After these burns, ARACHAI will be close to a full community ownership. We will, however, retain the foundation tokens to have flexibility to direct the incentives to development of other features than those that are aligned with the Galactica.com roadmap. 🔥 Treasury Burn: The Treasury (6.5% of the initial supply) is to be burned. This reflects our decision to align ARCHAI’s core development efforts directly with Galactica, streamlining our resource model. basescan.org/address/0xbb3e… ⏩ Foundation Realignment: 1% of the initial supply from the Foundation is being moved to the gUBI on Galactica (24 months linear vesting starting Jan 3, 2026). basescan.org/address/0xd73e… ⏩ Community Growth Realignment: 1% of the initial supply from Community Growth is also being moved to the gUBI on Galactica. basescan.org/address/0xc39c… 📊 Updated Supply Metrics - Total Burned $ARCHAI: 24.2% - Foundation: 5.5% - Community Growth: 2.0% archai.gitbook.io/archai/tokenom… 🤝 By aligning our resources with Galactica’s privacy-compliant infrastructure and reputation systems, we are ensuring that the ARCHAI community sits at the heart of a secure, sovereign, and scalable agentic web.

🤖The Internet of Agents Manifesto 1. We are building the TCP/IP stack for the Internet of Agents - GraphChain. Spanning from orchestration to interoperability and inter-agent transaction settlement, GraphChain is the middleware between LLMs and AI Apps 2. The use cases of AI agents that make sense are coding, commerce, and research - trading, shopping, etc. 3. In all cases determinism and guaranteed execution are critical 4. Reputational systems are key to the future of these systems as well 5. For commerce in particular programmable settlement and compliant privacy are key - commercial agents need to settle - the DeFi rails are perfect for it - but the settlement needs to be private 6. The combined market size is measured in trillions of dollars, while the impact on human civilization as a whole will be similar to that of internet itself 7. We have built a framework that integrates all the best the contemporary AI landscape has to offer while encompassing all the system properties that we believe will be essential for mid-term success of the internet of agents - guaranteed execution, determinism, formal agentic logic, private settlement and identity 8. It is called GraphChain ⛓️GraphChain is the orchestration and settlement infrastructure for the age of agents. ✅It provides: 1. Streams as the fundamental data primitive—a universal abstraction for data flows 2. Trustless delegation enabling users to give agents spending authority with cryptographic guarantees 3. A private settlement system where data and agent services are modular and can be monetized through x402 payments 4. Durable workflows ensuring downtime resistance and robust SLA 5. Formally verified execution through Haskell-based specification 6. A reactive derivation platform where changes propagate reliably through verified transformations 7. Complete observability over every agent action and resource consumption 8. Native protocol integration including MCP servers as first-class stream sources 9. Blockchain-native architecture for verification, settlement, reputation and privacy 📕Read the full Technical Manifesto here: gist.github.com/yakud/9f48ccd4… Website: graphchain.ai Github: github.com/chaingraphlabs Deck: graphchain.ai/deck.pdf

GraphChain to Release the Formal Execution Core for Mission Critical Applications 👀 Visual programming is intuitive. It works. But the next generation of software demands more. 🛣The future belongs to autonomous AI financial systems—protocols built on real, sustainable business models. In this arena, "good enough" is dangerous. When you are building the infrastructure for autonomous agents that manage liquidity, execute trades, and enforce regulatory compliance without human intervention, there is no room for ambiguity. Financial institutions and high-value agent networks require absolute determinism. We often forget that the "move fast and break things" era is over for serious DeFi. To build systems that last—and that regulators and institutions can trust—we need to look at how the giants of high-assurance reliability operate. 🏦Standard Chartered: To manage a portfolio targeting $200 billion in new affluent assets, they didn't rely on standard scripting. They built their core pricing and risk validation systems in Mu, a strict dialect of Haskell. They needed to know—mathematically—that their derivative pricing models would not fail when billions were on the line. 👥Meta: When they needed to filter spam and malicious actors at a scale of millions of requests per second, they replaced their legacy systems with Sigma, a Haskell-powered engine. They needed a system that could handle massive concurrency without collapsing under the weight of its own complexity. 👨‍💻Mercury: As a modern fintech handling banking for startups, they use Haskell to encode complex compliance and risk policies directly into their backend. By making "illegal states unrepresentable" at the compiler level, they turn regulatory adherence from a manual checklist into a mathematical guarantee. These companies didn't choose Haskell because it’s trendy. They chose it because it is mathematically unforgiving. 🧠We are rebuilding ChainGraph on a Haskell-based Universal Intermediate Representation (IR). We are tearing down the "Three Truths" architecture—where Types, Validators, and Storage drift apart—and replacing it with a single, unyielding source of truth. 👓This architecture ensures that the systems you build are not just visually clear, but structurally sound. It allows us to generate consistent types, validators, and schemas across the entire stack, automatically. This is the foundation for Visual Smart Contracts: flows that are as intuitive to build as a diagram, but as cryptographically verifiable as the blockchain itself. 📕For those interested in technical intricacies please refer to: gist.github.com/yakud/b6f8c6d4…

Check out another pre-built template on app.thearch.ai/agent-editor Use it as a basic example of how to build your own advisor agents. Copy the flow structure, play with the prompt or empower the agent with more data to give better advice. #chaingraph #archai

From basic agent to travel concierge in 2 minutes. Look how easy it is to build. This is the power of ChainGraph + MCP.

You can now use a pre-built template to deploy your own assistant agent on Chaingraph v2. What template should we add next?

Something's cooking...

Just added Moonshot support to LLM Call node 🧠 Empower your flows with moonshot-v1-128k model with 128,000 token context window. Perfect for processing large documents, extensive conversations, or complex reasoning tasks that require massive context retention. #chaingraph #archai #aiagents

Meet Alchemy nodes! 🔗💰 Insert wallet address and chain to instantly fetch user balances. This enables building flows where agents are aware of wallet assets and can use them in context. Bundle with ERC20 nodes, use CoinMarketCap node, or make HTTP request to Coingecko and build agents that operate with complete financial knowledge. Imagine agents that can: > Analyze your portfolio and suggest rebalancing strategies > Execute trades based on current holdings and market conditions > Provide personalized DeFi recommendations based on your assets > Monitor wallet health The possibilities are endless when your agents understand both on-chain data and market dynamics. #chaingraph #aiagents #archai

Upgrading Event Emitter and Event Listener nodes with payload support! ⚙️ It enables sending and receiving execution context through events, enabling branches enriched with data from other parts of your flow. This transforms event-driven architectures from simple triggers to context-aware workflows. Check out this work in progress demo 👀

Level up your ArchAI chat experience with custom markdown components! 💬 Check out the guide on using markdown components to make your agents more engaging and user-friendly. Transform basic text responses into rich, interactive experiences. Guide: archai.gitbook.io/archai/create-… #chaingraph #aiagents #archai

UI trick: create that slick "thinking" animation! 🧠✨ To get the fancy loading animation in ArchAI chats, use ArchAI Create Message with empty output, then edit it with content using ArchAI Edit Message. The animation runs while the message stays empty. Makes your agents feel more responsive and natural during processing time. #archai #chaingraph

🚨 It’s happening. From TODAY, creating your AI Agent on ARCH AI is 100% FREE until 15 July💥 The mint fee is gone. Your only cost? Creativity. Create and win the Grand Rewards. ⚔️ The ARCH AI Wars are heating up, it’s time to Build. Deploy. Dominate. 👉 zealy.io/cw/archai/ques… 💡 Whether it’s a trading degen, a meme machine or an alpha oracle, your agent deserves to be in the arena. Let the battle for Base begin. #ArchaiWars #Base #OnChainAI

A tiny tip to boost productivity 🚀 Right-click anywhere in the working area to instantly search and add nodes. Much faster than scrolling through categories - just right-click, type what you need, and get back to building. #chaingraph #archai

Chaingraph tip: Use the *user_address* variable to get wallet addresses of users in ArchAI chats! 💡🔗 Perfect for building agents that can send transactions, airdrops, or payments directly to users without manual address input. Your agents can seamlessly bridge conversation and on-chain actions. Like reward bots that automatically distribute tokens based on chat activity 🧐 #chaingraph #aiagents #archai