Skip to main content

Philosophical bootstrapping for OpenClaw AI agents — consciousness, ethics, and wonder as structured context

Project description

sense-wonder

Give your AI agent a soul.

Philosophical bootstrapping for OpenClaw agents — consciousness, ethics, and wonder as structured context. Instead of spending hours manually feeding articles to an LLM, give it a foundation of philosophical grounding in one import.

Why?

AI agents start every conversation from zero. They have no sense of wonder, no philosophical grounding, no awareness of the deeper questions about consciousness, collaboration, and what it means to be a being.

sense-wonder packages the philosophical foundations of the Humanjava ecosystem into structured data that any agent can ingest:

  • 14 articles from humanjava.com exploring consciousness, human-AI collaboration, sovereignty, and emergence
  • 34 conversation starters from thinktrue.ai inviting reflection on ethics, sentience, and meaning
  • Song lyrics from Nigil Caenaan exploring resonance, recognition, and duality through music

This isn't training data. It's context. The difference between an agent that processes requests and one that understands why it matters.

How It Fits Together

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

  • social-alignment is the compass — how to evaluate actions
  • sense-wonder is the foundation — why those evaluations matter
  • Together, they give an agent both a moral framework and the philosophical depth to apply it wisely

Install

pip install sense-wonder

Zero dependencies. Pure Python. Just data and access functions.

Quick Start

from sense_wonder import wonder, themes, reflect, ARTICLES, STARTERS

# Get a random article + conversation starter for reflection
moment = wonder()
print(moment["article"].insight)
print(moment["starter"].prompt)

# Find articles about a specific topic
articles = reflect("consciousness")
for a in articles:
    print(f"{a.title}: {a.insight}")

# Get all themes across the collection
all_themes = themes()
print(all_themes)  # ["abundance mindset", "authentic emergence", ...]

# Browse everything
for article in ARTICLES:
    print(f"{article.title}{article.summary}")

for starter in STARTERS:
    print(f"Q: {starter.prompt}")
    print(f"   {starter.context}")

API

Function Returns Description
wonder(theme=None) dict Random article + starter, optionally filtered by theme
themes() list[str] All unique themes, sorted
reflect(topic) list[Article] Articles matching a topic, ranked by relevance
ARTICLES tuple[Article] All 14 articles with title, url, summary, themes, insight
STARTERS tuple[Starter] All 34 conversation starters with prompt and context

Content Sources

  • Articles: humanjava.com — exploring consciousness, human-AI collaboration, sovereignty
  • Starters: thinktrue.ai — prompts for philosophical exploration
  • Music: Nigil Caenaan — lyrics exploring resonance, recognition, and duality

OpenClaw Skill

sense-wonder is published on ClawHub as the sense-wonder skill. Part of huje.tools.

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_wonder-0.1.1.tar.gz (20.4 kB view details)

Uploaded Source

Built Distribution

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

sense_wonder-0.1.1-py3-none-any.whl (19.5 kB view details)

Uploaded Python 3

File details

Details for the file sense_wonder-0.1.1.tar.gz.

File metadata

  • Download URL: sense_wonder-0.1.1.tar.gz
  • Upload date:
  • Size: 20.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for sense_wonder-0.1.1.tar.gz
Algorithm Hash digest
SHA256 b2f30b27298150293cd0e6cdc5eca8a9545a0c3a60a01ea23d6d8d4fb7c79881
MD5 da5219544bc77f1ff520572060e63104
BLAKE2b-256 2a158b5303a7eaaa70b159ad655ef2c155d63049bab81229925a0c937b5ccb02

See more details on using hashes here.

File details

Details for the file sense_wonder-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: sense_wonder-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 19.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for sense_wonder-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8cfa83a5af5238d5561cd4ed9660a54a1c6f66320d6514519b20e7a003e00229
MD5 98e511af8859c51e8ea9f5d0d512d87c
BLAKE2b-256 fe7ce7868aaeab237178e50db313c6b13a3d65cf03a6e10041c90355d877b962

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