OpenClaw has 145,000 GitHub stars. CNBC, Palo Alto Networks, and Kaspersky are all writing about it. It's the hottest AI agent framework in the world right now — and for good reason. It turns your computer into a 24/7 AI assistant that actually does things. Multi-channel messaging. Browser automation. Persistent memory. Calendar, email, file management. It's what ChatGPT and Claude should have been. But here's what nobody wants to talk about: 🔓 ~1,000 OpenClaw instances found publicly exposed with zero authentication (Shodan scan, January 2026) 🔓 CVE-2026-25253: One-click remote code execution via auth token theft 🔓 Data leaking across user sessions and messaging channels 🔓 Prompt injection attacks via web content, emails, and third-party skills — with no trust boundaries 🔓 Palo Alto Networks called it a "lethal trifecta" of risks: access to private data exposure to untrusted content ability to communicate externally persistent memory that makes attacks survive across sessions The core problem? OpenClaw has no identity layer. No way to cryptographically verify who's talking to the agent, where data came from, or whether a skill is trustworthy. It treats everything — your commands, a forwarded WhatsApp message, a malicious webpage — with the same level of trust. That's why I built Edwin. Edwin is built on top of OpenClaw's runtime, but adds the security and intelligence layers it's missing: 🔐 Cryptographic identity — every message, every agent, every interaction is signed and verifiable. Edwin knows WHO is talking to it, not just what they're saying. 🧠 Semantic memory (Shad) — not the "dump everything into the context window and pray" approach that Claude's memory uses. Edwin runs external semantic retrieval that scales without degrading. It searches for what's relevant instead of loading everything every time. Claude's own memory system has a documented "fading memory" problem because of this exact architectural limitation. 🛡️ Trust boundaries — session isolation, tool policies, authenticated inter-agent communication. Untrusted content can't escalate to privileged actions. The AI industry is racing to give agents more power. But power without identity is a security nightmare. OpenClaw proved the demand. Edwin solves the trust problem. We're not building a better chatbot. We're building AI you can actually trust with your data, your credentials, and your business. edwinpai.com #AI #Blockchain #OpenClaw #Edwin

Divisible UTXO swaps enable real L1 peer-to-peer order books. No matching engine. Just Bitcoin Script. Multisig protects treasuries with m-of-n approval. Public keys stay hidden until the spend. Multi-party sign-off on every mint and burn. Configurable at issuer-level compliance with a designated authority now able execute regulatory orders directly on-chain. No off-chain detours. No issuers, miners, or foundations/associations in the loop. On-chain script-enforced - no intermediaries. STAS 3.0 script template makes this real 👇 medium.com/@Stas33496115/bit…

We rave about giants like Newton, Einstein, Bohr, Tesla, and Edison. But in terms of direct impact on our lives in the information age, nobody comes close to Claude Shannon. In 1948, he dropped a straight 10/10 paper: A Mathematical Theory of Communication. His work has imbued us with the ability to send whispers across continents. The paper doesn’t just suggest techniques, it draws the boundaries of reality for information... how far compression can go (entropy), the maximum rate a noisy channel can carry reliably (capacity), and why error correction isn’t optional if you want those whispers to arrive intact.

I saw a post today about a new "secure AI agent platform." Their pitch: dedicated pods, zero-trust networking, encrypted key storage, Kubernetes node hardening. All to solve one problem — they don't trust their own infrastructure. We took a different approach with Edwin. Instead of building bigger walls around a shared platform, we made the agent yours. You run it where you want — your laptop, a $5 VPS, a company cloud instance, whatever fits. Your keys, your data, your choice. That simplifies a lot. But the two things we really focused on: 𝟭.⁠ ⁠𝗠𝗲𝗺𝗼𝗿𝘆 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀. Every AI agent has a context window problem. Conversation gets too long, session ends, memory's gone. We solved this by treating the context window as a scratchpad — not the memory. Edwin writes to disk, recalls on demand, and picks up where it left off. It remembers last week's tasks, your contacts, what you discussed. Not because we fine-tuned a model. Because we built a retrieval system that works like memory should. 𝟮.⁠ ⁠𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆-𝗯𝗮𝘀𝗲𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆. Most platforms bolt security on top — containers, network policies, secret managers. Edwin ties access to identity. Your agent knows who you are. That's what determines what it can do. No DevOps team. No Kubernetes cluster. Works the same on a Raspberry Pi or an enterprise VM. What this looks like in practice: → API keys stay on infrastructure you control → Memory in plain files — portable, readable, yours → You pick where it runs — no vendor lock-in → Cron jobs, proactive scheduling, multi-channel messaging → WhatsApp, Telegram, Discord, Signal, Matrix integration → Full source access — read every line We're opening up a small founders group for early access. If you want to run Edwin and help shape it: edwinpai.com #AIAgents #DataOwnership #DevTools #OpenSource

79,000 lines of code. 4 days. One desktop app. Not vibe coding — structured AI orchestration: → Spec first, code second → Reference vault for grounded context → Parallel phase execution → Human testing every phase Full breakdown of how we built Edwin Desktop with Shad 👇 onchaininnovation.com/articl… #AI #SoftwareEngineering #DevTools #BuildInPublic #BlockchainIdentity

My time with the BSV Association has come to an end after 4.5 years. It has been a phenomenal 4.5 years; I'm grateful to have had the opportunity to work with so many exceptional people and travel to so many beautiful places, and I know they're going to continue pushing blockchain forward. I'm now shifting my focus entirely to the integration of AI Blockchain. I've been busy building over the past weeks: - Shad (Shannon's Daemon) -- a fast semantic search engine that uses Recursive Language Models (RLMs) strategically to effectively eliminate the AI context window problem so every session is a continuation of the previous: github.com/jonesj38/shad - Edwin (named after physicist Edwin Jaynes) -- a personal AI that uses Shad for its memory system and takes a new approach to security so you don't have to choose between safety and utility anymore; it's like OpenClaw but secure and continuously coherent. Please have a look at my website: jake-jones.ca . I've added a simple AI chat that you can use to find out more about my experience and whether we'd be a good fit if you're looking to hire. I'd appreciate it if you could share this for visibility Cheers hashtag#AI hashtag#Blockchain hashtag#IPv6 hashtag#Agents hashtag#Shad hashtag#Edwin hashtag#OpenClaw hashtag#ClawdBot hashtag#MoltBot

I've fixed the two main issues with OpenClaw so it doesn't forget across sessions, reduces token cost by >90%, and is safely usable for everyone. Coming soon: #AI #Blockchain #PAI #Edwin

I created a Shad Skill (Claude Skill to use Shad): github.com/jonesj38/shad-ski…

I got tired of trying to prompt harder so I built Shad to reason smarter. Introducing Shad: github.com/jonesj38/shad Shad enables AI to reason over virtually unlimited context. Instead of forcing everything into a single prompt or relying on brittle RAG pipelines, Shad turns your knowledge base into an explorable environment—one the AI can navigate intelligently, step by step, as it solves real problems. Load an Obsidian vault containing your documentation, architecture decisions, code patterns, research notes, or best practices—and Shad will decompose complex goals, retrieve only what matters, verify outputs, and assemble coherent results. This isn’t “long-context prompting.” It’s long-context reasoning #AI #Claude #RLM #Obsidian

AnchorChain is something I’ve been developing quietly — a small system built to fix one of AI’s most fundamental flaws: it doesn’t remember truthfully. Every LLM, every vector database, every retrieval system rewrites itself as it grows. Memory mutates, embeddings drift, histories are overwritten. You can’t prove what an AI knew yesterday. You can’t even verify whether a model’s “knowledge” is authentic or post hoc reconstruction. That’s not intelligence. That’s epistemic entropy. AnchorChain changes that. It anchors AI memory states to an immutable ledger. Every embedding, every context vector, every update is hashed, structured into a Merkle tree, and committed to the Bitcoin SV chain. The result is a permanent, cryptographically verifiable proof of what the AI knew, when it knew it, and how that knowledge evolved. We’re talking real numbers. The BSV network now sustains 4 million transactions per second. Each AnchorChain commit can encapsulate 2³² entries in a 32-depth Merkle structure. That’s 4.29 billion memory records per anchor — about 1.7 × 10¹⁶ verifiable states per second. That’s not theoretical scale; it’s the practical bandwidth of truth. This system isn’t federated or centralised. Each node, each agent, each model instance can anchor independently. It’s a distributed architecture that preserves autonomy while providing global integrity. You don’t need a central curator or aggregator. You need proof — and that proof now exists. In AI, reproducibility isn’t a luxury. It’s survival. Scientific inference, legal evidence, and machine accountability all depend on verifiable state continuity. AnchorChain makes that possible. Immutable memory. Deterministic recall. Forensic traceability. I’ve been testing it in multi-agent environments — embedding pipelines, LangChain-based frameworks, distributed LLM clusters. Every memory write becomes a proof. Every recall event can be audited. Every output can be traced to a verifiable internal state. AI that lies about its own history is finished. AI that proves its own memory becomes infrastructure. This isn’t another blockchain gimmick. It’s reliability engineering for cognition. It’s the missing layer of accountability that bridges computation and law, science and memory, action and proof. That’s what AnchorChain is. A memory system that can’t lie. #AnchorChain #AIIntegrity #BitcoinSV #MerkleProof #DigitalForensics #DataLineage #ImmutableMemory #DistributedSystems #BSV #AIReproducibility

Devs got the first glimpses of Teranode when TeraTestnet launched last month. Today, the rest of the world finds out what unlimited scalability means: offering businesses limitless possibilities on the most efficient transaction engine ever.

The wait is over 🫡 Our Android app is available Worldwide 🌋 Stay tuned for more hard-shipping, OG style

Calling all #WestCoastDevs, designers and entrepreneurs: what if your next idea could become the foundation for the next big blockchain solution? On October 10-11, the Southern Oregon Blockchain Hackathon is your chance to turn creative concepts into working applications, alongside fellow developers, students, and innovators seeking to push the limits of what’s possible. Guiding the event is BSV Ambassador @TyEverett11, CEO & Founder of @ProjectBabbage. As keynote speaker, judge, and mentor, Ty will share his insights into BSV blockchain and its tools - using his extensive knowledge to demonstrate the most useful capabilities available to developers. Here’s what to expect: ► Opening keynote followed by hands-on mentorship throughout the weekend ► Team up with fellow builders - collaborate, pitch, and turn concepts into working apps ► Explore BSV tools, tackling data and payment challenges ► Compete for cash prizes, exclusive swag, job opportunities, and more Southern Oregon | October 10–11 Sign up here: bsvhackathon.com Join the builders shaping how blockchain works for real businesses and communities here in Oregon. Register now to secure your spot. #BSVBlockchain #Hackathon #Developers #BSVAmbassador

We know how strong our dev community is, but it’s always great to be recognised.​ ​ Our builders are shaping the future on BSV, with Teranode now on Testnet and its source-available code already powering real-world POCs.​ Thanks to all building. We’re just getting started.

Excellent developers who use WalletClient from npmjs.com/package/@bsv/sdk Run this on all your apps: npm i @bsv/sdk Why? ✅ 20x speed increase wallet connection ✅ compatible with https local substrate ✅ backwards and future compatible ✅ global KV store ✅ highly regarded

For anyone running Teranode TeraTestNet, release v0.11.0 is now available. This new version makes a significant improvement to the peer-to-peer stack resolving all issues where nodes were losing peers and missing messages. Please upgrade immediately as v0.10.x will no longer find any peers.

Join us in testing Teranode on our testnet: github.com/bsv-blockchain/te…

A huge congratulations to @___siggi___ and the rest of his team for achieving what everyone said couldn't be done!! github.com/bsv-blockchain/te… The core of the global Peer-to-Peer Electronic Cash System is here

Scaling Bitcoin - Episode Two - Welcome Teranode x.com/i/broadcasts/1djxXWylY…

Check out my latest article: Africa’s digital manifesto: IPv6, AI, blockchain at core @RealCoinGeek @latifladid @perfexcellent @MonkishRex linkedin.com/pulse/africas-d… via @LinkedIn