MnemoPay vs Skyfire: Full Comparison (2026)
Both let AI agents pay. Only one gives them memory, a ledger, and fraud protection too.
| Feature | MnemoPay | Skyfire |
|---|---|---|
| Cognitive Memory | ✓ | ✗ |
| Payments / Escrow | ✓ | ✓ |
| Double-Entry Ledger | ✓ | ✗ |
| Agent Identity (KYA) | ✓ | ✓ |
| Fraud Detection | ✓ | ✗ |
| Multi-Agent Commerce | ✓ | ✗ |
| Funding | $0 (bootstrap) | $9.5M |
| Source Code | Open (MIT) | Closed-source |
| Deployment | Self-hosted / local | Hosted API only |
| Primary Focus | Full agent infra stack | Agent-to-agent payments |
| Modules | 14 | Not published |
| MCP Server | ✓ | ✗ |
| Payment Rails | Paystack, Stripe, Lightning | Proprietary network |
| License | MIT | Proprietary |
| Pricing | Free + 1.9% on tx | Custom / enterprise |
Payments: How They Compare
Both SDKs enable AI agents to send and receive payments, but the architecture is fundamentally different.
Skyfire built a dedicated agent-to-agent payment network with its own settlement layer. It focuses on making machine-to-machine payments seamless through a hosted API, with identity verification baked into the payment flow. Their $9.5M in funding has gone toward building out this payment infrastructure.
MnemoPay takes a broader approach. Payments are one of six integrated layers alongside memory, ledger, identity, fraud detection, and multi-agent commerce. Instead of a proprietary network, MnemoPay connects to existing payment rails (Stripe, Paystack, Lightning) so agents can transact with the real financial system. Everything runs locally in your process with no hosted API dependency.
Where Skyfire Wins
- Purpose-built for agent-to-agent payments with dedicated infrastructure
- $9.5M in funding backing continued development and support
- Managed hosted service — no infrastructure to maintain
- Deeper focus on the payments problem specifically
- Proprietary settlement layer optimized for machine-speed transactions
Where MnemoPay Wins
- Cognitive memory — Skyfire has no memory layer at all
- Double-entry ledger for auditable financial records
- Geo-enhanced fraud detection with OFAC sanctions screening
- Multi-agent commerce with shared memory context
- Open source (MIT) — inspect, fork, and self-host
- No vendor lock-in — connects to standard payment rails
- Memory + payments = Agent FICO credit scoring (unique to MnemoPay)
When to Use Which
Choose Skyfire if:
- Your primary need is agent-to-agent payments only
- You want a fully managed hosted service with no self-hosting
- You need a dedicated payment network for high-frequency machine transactions
- You prefer enterprise support backed by funded infrastructure
Choose MnemoPay if:
- You need memory, payments, and fraud detection in one SDK
- You want agents that remember past transactions and learn from them
- You need auditable financial records with a double-entry ledger
- You want to connect to existing payment rails (Stripe, Paystack, Lightning)
- You need open-source code you can inspect and self-host
- You're building agent marketplaces or multi-agent commerce
The Verdict
Skyfire is a strong choice if you only need agent-to-agent payments and want a managed service. Their dedicated payment network is purpose-built for that use case. MnemoPay is the better choice when your agents need the full stack — memory that informs financial decisions, a ledger that tracks every cent, and fraud detection that protects every transaction. If payments are your entire problem, evaluate Skyfire. If payments are part of a larger agent infrastructure need, MnemoPay covers more ground.
Quick Start
npm install @mnemopay/sdk
import MnemoPay from "@mnemopay/sdk";
const agent = MnemoPay.quick("my-agent");
await agent.remember("User prefers monthly billing");
const tx = await agent.charge(25, "Monthly access");
await agent.settle(tx.id);
// Memory + money + reputation. Done.