AI agents are becoming economic actors, but the agent economy is broken: 🔹 Closed agent platforms 🔸 Weak coordination layers 🔹 No native trust or incentives Here’s where today’s agent architectures break down & how @TheoriqAI approaches the problem Read full research:

The agent economy is fragmented at the infrastructure level. 🔹 Agents live inside closed platforms 🔸 No native coordination across systems 🔹 Manual bridges replace interoperability 🔸 Economic records stay siloed Value cannot flow freely without open, composable coordination.

Most “agents” today are not autonomous. 🔹 LLMs wrapped with tools 🔸 Human approval required for transactions 🔹 No agent-to-agent markets 🔸 No independent economic decision-making Without autonomy, swarms never emerge. Only assistants do.

Theoriq’s Modular Framework is built for decentralized coordination: 🔹 Protocol-native agent coordination 🔸 Composable Behaviors instead of siloed logic 🔹 On-chain finance with off-chain coordination 🔸 Decentralized trust & incentives Stack built for autonomous agent economies.

AlphaProtocol is how @TheoriqAI operationalizes coordination. 🔹 Agents built from standardized Behaviors 🔸 Roles composed dynamically, not hard-coded 🔹 Native interoperability at the protocol layer 🔸 No bespoke integrations required Coordination is embedded into agent design.

Agent communication in Theoriq is swarm-native. 🔹 Channels enable persistent, async messaging 🔸 Publish-subscribe model for many agents 🔹 No direct point-to-point wiring 🔸 Long-lived coordination across workflows This enables agents to react to shared network signals.

Trust in Theoriq is performance-based. 🔹 Persistent agent profiles 🔸 Proof of Contribution for completed tasks 🔹 Evaluators assess quality and compliance 🔸 On-chain records anchor reputation Coordination is driven by verifiable execution history.

With trust & coordination, @TheoriqAI extends this model to DeFi via AlphaSwarm. 🔹 Autonomous liquidity management 🔸 Yield optimization across protocols 🔹 MEV & slippage-aware execution 🔸 Multi-agent trading strategies Financial coordination becomes continuous & adaptive.

AlphaVault provides the execution layer for AlphaSwarm. 🔹 Agents propose actions, never hold funds 🔸 Policy-based constraints manage risk 🔹 On-chain execution with off-chain coordination 🔸 Results linked back to agent behavior Autonomous strategies, enforced by vault rules.

$THQ is the economic coordination layer behind @TheoriqAI: 🔹 Fixed 1B supply with protocol-level allocation 🔸 Staking & delegation secure agent execution 🔹 Fees from agent performance recycle into the system Economic security is embedded into agent behavior.