← Back to Skills Marketplace
294
Downloads
0
Stars
0
Active Installs
5
Versions
Install in OpenClaw
/install sense-memory
Description
Sovereign persistence for AI agents — encrypted key-value memories and journal entries on Nostr relays
Usage Guidance
This skill appears to do what it says (encrypted memories on Nostr) but has a few inconsistencies and trust decisions you should consider before installing:
- Verify package provenance: confirm the 'sense-memory' and 'nostrkey' packages are the official project releases (PyPI/GitHub) and review their source, since giving them your private key/passphrase grants full access to your memories.
- Sensitive secrets: prefer using a file-encrypted identity (.nostrkey) unlocked with a passphrase rather than putting NSEC plaintext into environment variables. If you must use NOSTR_NSEC, be aware it is equivalent to handing the skill your private key.
- Relay trust: the package recommends a default relay run by the author. Even though content is encrypted, relays receive metadata (timestamps, event IDs, possibly IP-level telemetry). If you need stronger privacy, run your own relay or choose well-audited public relays.
- Metadata mismatch: the registry summary lists no required env vars while metadata.json and SKILL.md require a passphrase and optionally a private key — ask the publisher/maintainer to correct the metadata so required environment and install instructions are consistent.
- If you need higher assurance: review the package source code (GitHub repo) and the sense-memory implementation, or run it in a sandboxed environment and/or with an identity keypair created specifically for testing.
Given these points, proceed only after verifying the package source and making an explicit decision about how you will store and provide the private key/passphrase.
Capability Analysis
Type: OpenClaw Skill
Name: sense-memory
Version: 0.2.0
The skill manages sensitive Nostr private keys (nsec) and performs network communication with external relays (defaulting to wss://relay.nostrkeep.com) to store encrypted agent memories. While these high-risk capabilities are aligned with the stated purpose of sovereign persistence, the handling of cryptographic secrets and remote data transmission in SKILL.md and examples/basic_usage.py warrants a suspicious classification under the provided criteria. No evidence of intentional malice or unauthorized data exfiltration was observed.
Capability Assessment
Purpose & Capability
The skill claims to provide encrypted key-value and journal storage via the Nostr protocol, which coherently explains why it needs a Nostr identity and a relay. Asking for nostr-related packages (nostrkey) and providing API calls to relays fits the described purpose.
Instruction Scope
SKILL.md and the example code instruct the agent to load a local .nostrkey file or read NOSTR_NSEC and NOSTRKEY_PASSPHRASE from the environment and then publish encrypted events to user-selected relays. Those instructions reference sensitive keys and environment variables (NOSTR_NSEC, NOSTRKEY_PASSPHRASE) and will cause network writes to third-party relays. The instructions also recommend installing the NostrKey skill and pip packages at runtime. The SKILL.md accesses sensitive env vars that are not declared in the top-level registry Requirements block (incoherence between registry summary and the skill's own instructions).
Install Mechanism
Install uses standard package installs (pip / uv for package 'sense-memory'), which is expected for a Python skill. There are no downloads from personal servers or URL shorteners in the provided spec. The registry metadata shows multiple install entries (pip and uv) which is acceptable but inconsistent with the single install entry shown elsewhere.
Credentials
Requiring a Nostr private key (NOSTR_NSEC) or a passphrase to decrypt a local identity file is proportionate for an encryption-based memory skill. However: (1) the overall registry summary initially lists no required env vars while metadata.json declares NOSTRKEY_PASSPHRASE as required and NOSTR_NSEC as optional — this mismatch is an incoherence; (2) supplying NOSTR_NSEC or passphrase to the environment gives the skill full ability to sign and decrypt/encrypt on behalf of the agent, so you must treat those values as highly sensitive and only provide them if you trust the code and operator.
Persistence & Privilege
The skill is not marked 'always: true' and does not request elevated platform privileges. It will persist data to external relays (intended behavior) but does not request modification of other skills or system-wide config in the provided files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sense-memory - After installation, invoke the skill by name or use
/sense-memory - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.2.0
v0.2.0: Multi-relay support, NIP-04→NIP-78 journal migration, wss:// relay validation, 15s timeout, health check
v0.1.3
Security hardening: SecretStr, sanitized exceptions, input validation
v0.1.2
Entity-aware framing, living with memory section, next steps
v0.1.1
Add prerequisites, enrich operator guidance, declare env vars, relay options
v0.1.0
Initial release — encrypted
key-value memories and journal entries on Nostr relays. 20 tests, red-teamed.
Metadata
Frequently Asked Questions
What is sense-memory?
Sovereign persistence for AI agents — encrypted key-value memories and journal entries on Nostr relays. It is an AI Agent Skill for Claude Code / OpenClaw, with 294 downloads so far.
How do I install sense-memory?
Run "/install sense-memory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is sense-memory free?
Yes, sense-memory is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does sense-memory support?
sense-memory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created sense-memory?
It is built and maintained by vveerrgg (@vveerrgg); the current version is v0.2.0.
More Skills