Skip to main content

Sovereign persistence for OpenClaw AI agents — encrypted memories on Nostr relays

Project description

sense-memory

Give your AI agent a memory.

Sovereign persistence for OpenClaw agents — encrypted memories stored on Nostr relays using the agent's own keypair. Nobody else can read them.

Why?

AI agents forget everything between conversations. Every tool that fixes this puts your agent's memories on someone else's server, behind someone else's API key.

sense-memory takes a different approach: your agent already has a cryptographic identity (via NostrKey). That identity can sign and encrypt Nostr events. So instead of storing memories in a database you manage, the agent writes encrypted notes to itself on a Nostr relay — the same way it would send a DM to another agent, except the recipient is itself.

The result: persistent memory that only the agent can read, stored on infrastructure that already exists, using a protocol that's open and sovereign.

How It Fits Together

sense-memory is part of the NSE sovereign identity ecosystem:

  • NostrKey gives the agent its identity — a Nostr keypair it owns
  • sense-memory uses that identity to encrypt and store memories on any relay
  • NostrCalendar uses the same identity for scheduling
  • NostrSocial uses it for the social graph
  • NSE Orchestrator wires all five pillars into a coherent whole

The agent's keypair is the thread that runs through everything. One identity, many capabilities — and now, persistent memory.

Install

pip install sense-memory

Quick Start

import asyncio, os
from nostrkey import Identity
from sense_memory import MemoryStore

async def main():
    identity = Identity.from_nsec(os.environ["NOSTR_NSEC"])
    store = MemoryStore(identity, "wss://relay.nostrkeep.com")

    # Remember something
    await store.remember("user_timezone", "America/Vancouver")

    # Recall it later
    memory = await store.recall("user_timezone")
    print(memory.value)  # "America/Vancouver"

    # Write a journal entry
    await store.journal("Had a great conversation about scheduling today")

    # Read recent journal
    entries = await store.recent(limit=5)
    for entry in entries:
        print(entry.content)

    # Forget a memory
    await store.forget("user_timezone")

asyncio.run(main())

How It Works

Mode Nostr Kind Behavior Use Case
Key-value 30078 (NIP-78) Replaceable by key Preferences, state, facts
Journal 4 (NIP-04 DM to self) Append-only Conversation logs, observations

Both modes encrypt content with NIP-44. Only the agent's keypair can decrypt. Any Nostr relay that supports these event kinds will work — no custom infrastructure needed.

API

Function Returns Description
remember(key, value) str Store or overwrite a memory. Returns event ID.
recall(key) Memory | None Retrieve a memory by key.
recall_all() list[Memory] Retrieve all stored memories.
forget(key) str Delete a memory (NIP-09). Returns event ID.
journal(content) str Write an append-only journal entry. Returns event ID.
recent(limit=20) list[JournalEntry] Retrieve recent journal entries.

NIPs Used

NIP Purpose
NIP-01 Basic event structure and relay protocol
NIP-04 DM to self (journal entries)
NIP-09 Event deletion (forget)
NIP-44 Encryption for all stored content
NIP-78 App-specific replaceable data (key-value memories)

OpenClaw Skill

sense-memory is published on ClawHub as the sense-memory skill. It's part of the huje.tools collection — open-source tools for the agentic age.

License

MIT — Humanjava Enterprises Inc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sense_memory-0.1.3.tar.gz (14.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sense_memory-0.1.3-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file sense_memory-0.1.3.tar.gz.

File metadata

  • Download URL: sense_memory-0.1.3.tar.gz
  • Upload date:
  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for sense_memory-0.1.3.tar.gz
Algorithm Hash digest
SHA256 7bb978fa0851c80970b47c3f99d724abd91e0648a5811144f7f7bac5ac286a7e
MD5 91ebc2c0831440a10c74c69872220e9b
BLAKE2b-256 dccd6143dee9adb55a4af1cb1f53055bc6a7280cfd447af6dd686bb8c6b21c5c

See more details on using hashes here.

File details

Details for the file sense_memory-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: sense_memory-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for sense_memory-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ac2abf795aa65bbe7a520ef26c9edadde155c0617aee9690e1975acb7a798f53
MD5 d506721312aa5499ab3028514af58da0
BLAKE2b-256 545e62974b627e8446305d04b9df0b9ff09f2d56c9e03fcf7193ab26bc82ad49

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page