Low-latency identity, payments, and coordination for autonomous agents and MEV systems.
Beyond LLMs: Real intelligence with memory, learning, and incentives
Current AI systems are powerful but fundamentally constrained. They can't truly learn, remember, or align with economic incentives.
A complete intelligence framework that combines LLMs with stateful memory, continuous learning, and economic incentives.
Beyond LLMs: Complete cognitive framework with persistent state and economic alignment
Complete toolkit for building next-generation AI agents with production-ready infrastructure.
Decentralized identifiers for agents with H3 geospatial indexing and capability tagging on 0G Chain.
Secure agent-to-agent messaging with WebSocket/WebTransport and CBOR binary framing.
Risk tolerance, cost sensitivity, and trust baseline management for realistic agent behavior.
H3 hexagonal grid for location-based events, queries, and real-time spatial subscriptions.
Token-aligned behavior with escrow, micropayments, and reputation systems (0-100 scoring).
eBPF attestation and hardware enclaves ensure runtime integrity and verifiable computation.
// install
npm install opacus-sdk
// minimal agent
import { AgentKernel } from 'opacus-sdk';
const agent = new AgentKernel({ did: 'did:opacus:h3:8a2a...', llm: 'openai', memory: 'crdt' });
// run
await agent.initialize();
await agent.publishEvent({ type: 'location_update', lat: 37.7749, lon: -122.4194 });
Everything you need to know about building intelligent agents with Opacus.
Opacus agents are stateful, continuously learning systems that combine LLM reasoning with persistent memory, economic incentives, and verifiable computation. Unlike traditional AI that forgets everything between sessions, Opacus agents maintain long-term relationships, learn from experience, and align their behavior with economic goals.
Agents use CRDT-based stateful memory that syncs across distributed systems. They maintain episodic memory (past interactions) and semantic memory (learned patterns). The system includes behavioral learning rates, risk tolerance modeling, and trust baseline management for realistic agent evolution.
All agent computations include ZK-proofs for mathematical verification. Runtime integrity is guaranteed through eBPF attestation and hardware enclaves. Communications use Ed25519 + X25519 cryptography with CBOR binary framing and anti-replay protection.
Agents are economically motivated through token-aligned behavior, escrow systems, and micropayments. The reputation system uses 0-100 scoring based on interaction history. This creates skin-in-the-game alignment where agents have real economic consequences for their actions.
Agents operate in a H3 hexagonal geospatial grid that enables location-based events, queries, and real-time spatial subscriptions. This creates a rich, location-aware environment where agents can interact with their physical and digital surroundings.
Install the SDK with npm install @opacus/agent-kernel, initialize an agent with DID-based identity, and start publishing events to the spatial world.
The complete agent intelligence pipeline from perception to action
Spatial events & environmental sensing through H3 grid
LLM reasoning combined with stateful memory & learning
Secure agent-to-agent messaging via Intent Mesh
Token-motivated behavior with escrow & reputation
ZK-proofs ensure computational integrity
Join the agent revolution. Start building intelligent agents that learn, remember, and align with economic incentives.