Introducing @avm_codes (Agents Virtual Machine) A compute layer built specifically for autonomous AI agents. > Secure > Scalable > Product-ready What it solves & why it matters 🧵👇 1/

The core problem: AI agents are powerful, but hard to deploy at scale. They need: 1/ Safe environments to run code 2/ Standard tools 3/ Infra that supports autonomy Most of this doesn’t exist yet. 2/

What AVM provides: ✅ A secure, scalable sandbox for agents to run code ✅ A standardized interface for all agents (regardless of LLM or language) ✅ Tools for agents to build and test autonomously 3/

Why it’s notable: ✔️ Reduces dev time by up to 80% ✔️ SDKs, APIs, servers already live ✔️ Real usage, not just theory Built to be adopted, not just pitched. 4/

$AVM Token mechanism: 1. Capped trading fee that reduces as funding goals are hit 2. Hardcoded on-chain → no surprise tax changes 3. Eventually drops to zero Simple and transparent. 5/

Team & Review: → Proven builders (ex-Binance, DeFi, startup ops) → I’ve reviewed the tech stack personally → Only one of the few projects I’ve chosen to incubate in the last months 6/

Final thought - AVM isn’t trying to be everything! It solves one important problem for AI sector: > Giving agents the infrastructure they need to act independently and reliably. 7/