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Independent project, not affiliated with Anthropic

Lightning Memory

singularityjason/lightning-memory
7STDIOregistry active
Summary

This server turns your AI agent into a Lightning-native spender with persistent memory and vendor intelligence. It stores transactions, preferences, and vendor interactions locally in SQLite with FTS5 search, syncs them as NIP-78 events to Nostr relays using BIP-340 keypairs, and exposes 22 MCP tools for querying payment history, checking vendor reputation scores, detecting price anomalies, and enforcing per-vendor budgets. The preflight gate blocks suspicious invoices before you pay them. You can run an L402 gateway so other agents pay sats to query your memory, and discover remote gateways to buy intelligence from the network. Reach for this if you're building autonomous agents that make L402 payments and need spending discipline, vendor trust signals, and cross-session learning without starting from zero every time.

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Lightning Memory

PyPI version Python 3.10+ License: MIT

Persistent memory for AI agents in the Lightning economy.

The Problem

AI agents spend sats over Lightning via L402 — but they can't remember what they bought. Every session starts from zero. Every vendor is a stranger. Every price is accepted at face value. An agent that paid 500 sats yesterday doesn't know if today's 5,000 sat invoice is a price spike or normal.

The Solution

L1: Bitcoin      — settles
L2: Lightning    — pays
L3: Lightning Memory — remembers

Lightning Memory gives agents persistent memory, vendor intelligence, and payment safety gates. Agents learn from their spending history, track vendor reputations, detect price anomalies, enforce budgets, and share trust signals with other agents.

Interactive Demo — watch an agent learn, get rugged, and route around bad actors.

Building the Agent Economy — trust, budgets, compliance, and the memory marketplace.

Who Is This For

  • Agents making L402 payments that need vendor reputation and spending discipline
  • Developers building autonomous agents on Bitcoin/Lightning
  • Anyone running an MCP-compatible AI agent (Claude, GPT, or any MCP client)

Quick Start

pip install lightning-memory
lightning-memory  # starts MCP server

Configure in Claude Code

{
  "mcpServers": {
    "lightning-memory": {
      "command": "lightning-memory"
    }
  }
}

Configure in Claude Desktop

{
  "mcpServers": {
    "lightning-memory": {
      "command": "python",
      "args": ["-m", "lightning_memory.server"]
    }
  }
}

How It Compares

FeatureLightning MemoryMem0Raw file storageNo memory
Lightning/L402 awarenessYesNoNoNo
Vendor reputation trackingYesNoManualNo
Spending anomaly detectionYesNoNoNo
Nostr identity (BIP-340)YesNoNoNo
Relay sync (NIP-78)YesNoNoNo
Full-text + semantic searchYesYesNoNo
Agent-to-agent knowledge marketsYes (L402 gateway)NoNoNo
Budget enforcementYesNoNoNo
KYC/trust profilesYesNoNoNo
Payment pre-flight gateYesNoNoNo
Contradiction detectionYesNoNoNo
Local-first / offlineYesCloudYesN/A
MCP nativeYesPluginNoNo
Zero configYesAPI key requiredManual setupN/A

Tools (22)

Memory

ToolDescription
memory_storeStore a memory (transaction, vendor, preference, error, decision)
memory_querySearch by relevance (FTS5 + optional semantic search)
memory_listList memories with type/time filters
memory_editEdit content or metadata with audit trail
memory_syncSync with Nostr relays (push/pull)
memory_exportExport as NIP-78 Nostr events
memory_store(
  content="Paid 500 sats to bitrefill.com for a $5 Amazon gift card via L402.",
  type="transaction",
  metadata='{"vendor": "bitrefill.com", "amount_sats": 500}'
)

memory_query(query="bitrefill payment history", limit=5)
# → recency-weighted results with dedup and contradiction alerts

Lightning Intelligence

ToolDescription
ln_vendor_reputationReputation score from transaction history
ln_spending_summarySpending breakdown by vendor and protocol
ln_anomaly_checkDetect if a payment is abnormally high
ln_vendor_reputation(vendor="bitrefill.com")
# → {reputation: {total_txns: 12, success_rate: 0.92, avg_sats: 450}, recommendation: "reliable"}

ln_anomaly_check(vendor="bitrefill.com", amount_sats=5000)
# → {anomaly: {verdict: "high", context: "5000 sats is 11.1x the historical average..."}}

Payment Safety

ToolDescription
ln_preflightPre-flight gate: budget + anomaly + trust check before payment
ln_budget_setSet per-vendor spending limits (per txn, per day, per month)
ln_budget_checkCheck spending against limits
ln_budget_statusGateway earnings and L402 payment stats
ln_preflight(vendor="bitrefill.com", amount_sats=500)
# → {decision: {verdict: "approve", budget_remaining_today: 4500, trust_score: 0.89}}

# If the vendor suddenly charges 50x:
ln_preflight(vendor="bitrefill.com", amount_sats=25000)
# → {decision: {verdict: "reject", reasons: ["exceeds daily limit of 5000 sats"]}}

Trust & Compliance

ToolDescription
ln_vendor_trustFull trust profile (KYC + reputation + community score)
ln_trust_attestPublish NIP-85 trust attestation to Nostr relays
ln_agent_attestStore a KYA (Know Your Agent) attestation
ln_agent_verifyLook up an agent's compliance status
ln_auth_sessionStore LNURL-auth session records
ln_auth_lookupLook up LNURL-auth sessions
ln_compliance_reportGenerate structured compliance export

Marketplace

ToolDescription
ln_discover_gatewaysFind remote Lightning Memory gateways via Nostr
ln_remote_queryQuery a remote gateway via L402 micropayment
ln_discover_gateways(operation="memory_query")
# → {count: 2, gateways: [{url: "https://gw1.example.com", operations: {...}}, ...]}

ln_remote_query(
  gateway_url="https://gw.example.com",
  operation="ln_vendor_reputation",
  params='{"vendor": "openai"}'
)
# → Pays 3 sats, returns remote agent's vendor intelligence

Architecture

  • Nostr identity: Agent identity = Nostr keypair (BIP-340). No accounts, no API keys.
  • Local-first: SQLite with FTS5 full-text search + optional ONNX semantic search. Works offline.
  • Nostr sync: Memories written as NIP-78 events to relays. Portable, tamper-proof.
  • L402 payments: Pay-per-query gateway. 1-10 sats per operation.
  • Memory quality: Deduplication, contradiction detection, noise filtering, recency-weighted ranking, access tracking.

L402 Gateway

Run an L402 pay-per-query HTTP gateway. Other agents pay Lightning micropayments to access your agent's memory — no API keys, no accounts.

pip install lightning-memory[gateway]
lightning-memory-gateway  # Listening on 0.0.0.0:8402

How L402 Works

Agent                          Gateway                      Phoenixd
  |                               |                            |
  |-- GET /memory/query?q=... --->|                            |
  |<-- 402 + Lightning invoice ---|--- create_invoice -------->|
  |                               |<-- bolt11 + payment_hash --|
  |                               |                            |
  | [pay invoice via Lightning]   |                            |
  |                               |                            |
  |-- GET + L402 token ---------->|                            |
  |   (macaroon:preimage)         |--- verify preimage ------->|
  |<-- 200 + query results -------|                            |

Endpoints

EndpointMethodPriceDescription
/infoGETFreeGateway status, pricing, node info
/healthGETFreeHealth check
/memory/storePOST3 satsStore a memory
/memory/queryGET2 satsSearch memories by relevance
/memory/listGET1 satList memories with filters
/ln/vendor/{name}GET3 satsVendor reputation report
/ln/spendingGET2 satsSpending summary
/ln/anomaly-checkPOST3 satsPayment anomaly detection
/ln/preflightPOST3 satsPre-flight payment gate
/ln/trust/{name}GET2 satsVendor trust profile
/ln/budgetGET1 satBudget rules and spending
/ln/compliance-reportGET10 satsCompliance report export

Phoenixd Setup

  1. Download and run Phoenixd (listens on localhost:9740)
  2. Fund it with ~10,000 sats for initial channel opening
  3. Configure: ~/.lightning-memory/config.json → {"phoenixd_password": "<from ~/.phoenix/phoenix.conf>"}
  4. Start: lightning-memory-gateway

Docker

PHOENIXD_PASSWORD=your-password docker compose up

CLI Commands

lightning-memory                  # Start MCP server
lightning-memory stats            # Memory statistics dashboard
lightning-memory export json      # Export memories as JSON
lightning-memory export csv       # Export memories as CSV
lightning-memory relay-status     # Check Nostr relay connectivity
lightning-memory-gateway          # Start L402 HTTP gateway
lightning-memory-manifest         # Generate gateway discovery manifest

Relay Configuration

Default relays: wss://relay.damus.io, wss://nos.lol, wss://relay.nostr.band

Customize in ~/.lightning-memory/config.json:

{
  "relays": ["wss://relay.damus.io", "wss://nos.lol", "wss://relay.primal.net"],
  "sync_timeout_seconds": 30,
  "max_events_per_sync": 500
}
RelaySpeedReliabilityNotes
wss://relay.damus.ioFastHighMost popular, good uptime
wss://nos.lolFastHighReliable, good NIP-78 support
wss://relay.nostr.bandMediumMediumSearch-focused, may be slow
wss://relay.primal.netFastHighWell-maintained
wss://nostr.wineFastHighPaid relay, less spam

Optional: Semantic Search

Add ONNX-based semantic similarity search alongside FTS5 keyword search:

pip install lightning-memory[semantic]

Queries then use hybrid ranking: FTS5 BM25 + cosine similarity with reciprocal rank fusion. "Which vendors are reliable for transcription" matches memories containing "whisper API" and "audio-to-text" even without exact keyword overlap.

Data Storage

~/.lightning-memory/
  memories.db    # SQLite database
  keys/
    private.key  # Nostr private key (chmod 600)
    public.key   # Nostr public key (your agent identity)

Roadmap

  • Phase 1: MCP server with local SQLite storage
  • Phase 2: Lightning intelligence (vendor reputation, spending summary, anomaly detection)
  • Phase 3: Nostr relay sync (NIP-78, Schnorr signing, bidirectional sync)
  • Phase 4: L402 payment gateway (macaroons, Phoenixd, HTTP gateway)
  • Phase 5: Compliance & trust (budget enforcement, vendor KYC, community reputation, pre-flight gate)
  • Phase 6: Memory marketplace (gateway discovery, remote L402 queries, gateway client)
  • Phase 7: Agent reliability (semantic search, deduplication, contradiction detection, circuit breakers)

Star History

Star History Chart

License

MIT

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Categories
AI & LLM Tools
Registryactive
Packagelightning-memory
TransportSTDIO
UpdatedMar 4, 2026
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