Build agents that
think, remember, and pay.
SDK guides, runtime docs, memory architecture, x402 payment flows, and the Reliability Lab. Everything you need to deploy production-grade autonomous agents.
// Install
npm install @pragmabase/sdk// Initialize agent
import { Pragmabase } from '@pragmabase/sdk'
const pb = new Pragmabase({
apiKey: process.env.PRAGMABASE_KEY,
network: 'testnet', // or 'mainnet'
})// Deploy with memory + wallet
const agent = await pb.agent.create({
name: 'roku',
memory: { enabled: true, team: 'research' },
wallet: { budget: '10 XLM', guardrail: 'soroban' },
})
// agent.id → 0x4f2a...
console.log(await agent.run('Analyze market trends'))Getting Started
Install the SDK, connect your Stellar wallet, and deploy your first autonomous agent in minutes.
Agent Runtime
Deep dive into the execution environment, lifecycle hooks, guardrail policies, and sandboxed simulation.
Memory Layer
Persistent vector memory powered by Qdrant. Store, retrieve, and evolve agent knowledge across runs.
Payments (x402)
x402 pay-per-action protocol on Stellar. Agents buy data, sell outputs, and run micro-economies.
Reliability Lab
Simulate failure scenarios before they have real consequences. Test, break, validate, then deploy.
API Reference
Complete REST API reference with request/response schemas, webhooks, and SDK code examples.
How Pragmabase fits
into your stack.
Pragmabase sits between your agent logic and the real world. It wraps each agent run in a sandboxed environment, manages wallet state, routes memory reads/writes to Qdrant, and enforces Soroban-based guardrails before any funds move.