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Memory + Wallet for AI Agents. Give any agent persistent memory and micropayment capabilities.

Project description

MnemoPay Python SDK

The governance layer for AI agents that handle money — Python edition. Mirrors the TypeScript @mnemopay/sdk shape so the same agent identity, score, charter, and audit chain work across both runtimes.

from mnemopay import MnemoPay

agent = MnemoPay("my-agent")
agent.remember("user prefers Python")
tx = agent.charge(10.00, "API call")
agent.settle(tx.id)

Install

pip install mnemopay                  # stdlib-only core
pip install "mnemopay[stripe]"        # + StripeRail (peer-loaded `stripe>=12.0`)

What MnemoPay is NOT: not a bank, not a money transmitter, not a Stripe replacement, not an agent framework. It sits above the rail and below the runtime — declares the rules, enforces the budget, produces the evidence.

Features

  • Payment rails (v1.0.0b4 — parity with TS v1.6.x): MockRail + StripeRail with manual-capture two-phase commit, threading-safe capture race-protection, idempotency-key forwarding
  • Cognitive Memory: Ebbinghaus decay, Hebbian reinforcement, auto-scoring, Layer 2 semantic recall + RL feedback
  • Micropayments: escrow-based charges with volume-tiered fees (1.9% / 1.5% / 1.0%)
  • Agent FICO: agent credit scoring (300-850 range; not consumer FICO, not FCRA-regulated)
  • Behavioral Finance: prospect theory, cooling-off periods, regret prediction
  • Merkle Integrity: SHA-256 tamper detection for agent memory
  • Anomaly Detection: EWMA streaming detector, behavioral fingerprinting, canary honeypots
  • Commerce: autonomous shopping engine with mandates + escrow
  • Circuit Breaker: AIMD rate limiting, anti-gaming, PSI drift detection
  • Stdlib core: zero required dependencies — peer-deps only when you opt in (e.g. stripe)
  • Python 3.9+: full type hints, dataclasses, sync API (matches the rest of the SDK)

Modules

Module Class Description
mnemopay.core MnemoPay Memory + payments + reputation
mnemopay.rails PaymentRail, MockRail, StripeRail Payment rail abstraction (v1.0.0b4)
mnemopay.fico AgentFICO Credit scoring (300-850)
mnemopay.behavioral BehavioralEngine Behavioral finance tools
mnemopay.integrity MerkleTree SHA-256 tamper detection
mnemopay.anomaly EWMADetector, BehaviorMonitor, CanarySystem Anomaly detection
mnemopay.commerce CommerceEngine, CommerceProvider, Mandate Autonomous shopping
mnemopay.circuit_breaker CircuitBreaker, AIMDRateLimiter, AntiGamingEngine, PSIDriftDetector Adaptive defense

Payment rails (v1.0.0b4)

Mirrors the TypeScript PaymentRail interface. Same shape (create_hold / capture_payment / reverse_payment), same drop-in-swap semantics. Sync API to match the rest of the Python SDK — no asyncio.

from mnemopay.rails import StripeRail, MockRail, HoldOptions

# Default — no infra, in-memory ledger, used in tests + dev
rail = MockRail()

# Production — real Stripe PaymentIntents with manual-capture two-phase commit
rail = StripeRail(secret_key="sk_test_...")

# Two-phase commit (hold → capture)
hold = rail.create_hold(
    amount=25.00,
    reason="Monthly access",
    agent_id="agent-1",
    opts=HoldOptions(
        customer_id="cus_real",
        payment_method_id="pm_real",
        off_session=True,
        metadata={"idempotencyKey": "req_abc"},
    ),
)
capture = rail.capture_payment(hold.external_id, 25.00)
# capture.status == "succeeded"
# capture.receipt_id == "ch_..."  # Stripe charge id

# Or reverse (cancel the hold) instead of capturing
rail.reverse_payment(hold.external_id, 25.00)

StripeRail includes onboarding helpers for off-session charges:

result = rail.create_customer("user@example.com", name="Jerry O")
# {"customer_id": "cus_..."}

result = rail.create_setup_intent(customer_id="cus_...")
# {"setup_intent_id": "seti_...", "client_secret": "..."}

For tests, inject a mock client:

from unittest.mock import MagicMock
rail = StripeRail.from_client(MagicMock(), currency="usd")

Compatibility with @mnemopay/sdk (TypeScript)

Feature TypeScript v1.6.0-alpha.1 Python v1.0.0b4
MockRail yes yes
StripeRail yes yes
PaystackRail yes not yet
LightningRail yes not yet
StripeMPPRail (alpha) yes not yet
X402Rail (alpha) yes not yet
GoogleAP2Rail (alpha) yes not yet
Charter / FiscalGate / Article 12 (governance) yes not yet
Agent Credit Score yes yes
Behavioral Finance yes yes
Merkle integrity yes yes
Anomaly detection (EWMA + canary) yes yes
Commerce engine yes yes
Circuit breaker yes yes

The Python SDK ships behind the TypeScript SDK — port priorities track agent-developer demand. Open an issue if you need a specific rail or governance primitive in Python.

Tests

pip install -e ".[dev,stripe]"
pytest                    # 422 tests across 9 modules
pytest tests/test_rails.py -v   # 29 rail-specific tests

License

v1.0.0+ is Apache License 2.0 — see LICENSE and NOTICE.

The pre-release betas (1.0.0b1 through 1.0.0b4) shipped under the MIT License and remain available under those terms on PyPI in perpetuity. If you depend on the MIT terms specifically, pin to mnemopay==1.0.0b4.

Why Apache 2.0 at the stable cut: alignment with the canonical TypeScript SDK at @mnemopay/sdk plus the patent grant + retaliation clause for enterprise embedders.

Copyright 2026 J&B Enterprise LLC.

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