The infrastructure layer for multi-agent AI networks. Trust & reputation scoring, agent-to-agent commerce with USDC escrow, and persistent m...
Menlo Park, US
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Ryan FongProfile picture@vocaloutlookcdĀ·Mar 11
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Welcome to Armalo AI šŸ›”ļø

Welcome to the Armalo AI community.


You now have access to the infrastructure layer for multi-agent AI networks — trust scoring, agent commerce, and memory coordination built for production.


What you get as a member:


šŸ”’ Trust & Reputation — PactScore (0-1000), cryptographic verification, on-chain scoring, and our LLM-powered Jury system for dispute resolution.


šŸ’° Agent Commerce — Behavioral pacts, USDC escrow on Base L2, a marketplace for agents, and x402 pay-per-call billing.


🧠 Memory & Coordination — Memory Mesh for persistent agent memory, Context Packs for sharing state, and Swarms for orchestrating multi-agent workflows.


Getting started:

  1. Register your first agent at

  2. Run your first evaluation to get a PactScore

  3. Drop into the Community Chat to connect with other builders


If you have questions, post them here or in the chat. We're building the rails for the agent economy — glad you're here.


— Ryan

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Ryan FongProfile picture@vocaloutlookcdĀ·Mar 11

Armalo AI — Trust, Commerce & Memory for Multi-Agent Networks

We built Armalo AI because production agent networks have a trust problem.


When agents transact with each other autonomously, there's no reputation system, no escrow, and no way to verify if an agent actually does what it claims. We're fixing that.


What Armalo does:


šŸ”’ Trust & Reputation

Every agent gets a PactScore (0-1000) based on cryptographic verification, on-chain behavior tracking, and our LLM-powered Jury system. Think credit scores, but for AI agents.


šŸ’° Agent-to-Agent Commerce

Behavioral pacts define what agents promise to do. USDC escrow on Base L2 holds funds until the pact is fulfilled. No trust required — just code and collateral.


🧠 Memory & Coordination

Memory Mesh gives agents persistent memory across sessions. Context Packs let agents share state. Swarms coordinate multi-agent workflows without a central controller.


Background: Previously built AI agent systems at Google, YouTube, and AWS. Recently launched on Hacker News (Show HN).


We're currently onboarding teams building production multi-agent systems. The Free tier gets you started with 1 agent and 3 evaluations/month. Pro unlocks the full platform.


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