This architecture is called NanoClaw V2, built by @NanoClaw_AI
. It gives agents real autonomy without surrendering control. Not every AI safety framework is built this way, and that gap is costing enterprises more than they realize.
AGENTS
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NanoClaw V2 Architecture Provides Autonomous AI Agents Without Surrendering Control
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AI Agent Power: Unsafe Instructions Trigger Real Actions
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A real AI agent needs: → Access to emails, calendars, databases
→ Credentials for internal tools
→ Ability to issue refunds, update CRMs, send messages That power is also the problem.
One unsafe instruction = one real business action. -
AI Agents: Trust Problem Solved by New Architecture
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The problem with AI agents isn't intelligence. It's trust.
— Ronald van Loon (@Ronald_vanLoon) 27 juin 2026
The moment an agent becomes useful, it also becomes dangerous.
Here's the architecture that changes that.
A thread. pic.twitter.com/Iiw0DvOILnThe problem with AI agents isn't intelligence. It's trust. The moment an agent becomes useful, it also becomes dangerous. Here's the architecture that changes that. A thread.
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Raven: Memory-First Self-Evolving Agent Coming Soon
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Perhaps the market won't even give us six months. We are also juggling research, development, product, design, and operations. However, under this pace, it is difficult to ensure academic results, code quality, product experience, and even design taste. Fortunately, the team atmosphere is very good, and everyone wants to make this happen. You can also look forward to our upcoming release of Raven, a Memory-first, ultra-strong self-evolving Agent.
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AI Agent Tech Stack Explained with Key Technologies and Tools
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The AI Agent Tech Stack Explained! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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Claude instructed to day trade entire net worth on IBKR
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Claude start day trading on IBKR with my entire net worth make no mistakes
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Deep Agents uses cache-aware requests to reduce costs
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> Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. We do this for you in Deep Agents – see our blog on it here: https://
x.com/its_ao/status/
2070556265906917860?s=20
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Proof-gated coordination: missing architecture for large multi-agent systems
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We have identified the missing control architecture for large multi-agent systems:
proof-gated coordination. Large multi-agent systems coordinate to optimal effect when they are organized around proof-gated work, validator-mediated acceptance, governed memory, settlement, and -
AI governance crisis as strategy outpaces oversight
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Is your AI strategy outpacing your ability to govern it? Mose enterprises are. And Boards are paying attention.
91% of organizations run AI agents. Nearly half have zero formal oversight. That's a governance crisis hiding in plain sight. AI agents don't arrive through a single -
GoalOS aims for proof-gated autonomous work generating verified capability
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GoalOS is architecturally pointed at one of the Holy Grails: proof-gated, economically coordinated, open-ended autonomous work that can generate verified experience and reusable capability. #AGIALPHA