# Hologram Cognitive v0.1.0 - Ready for PyPI Publication ✅

**Status:** All preparation complete, ready for upload
**Date:** 2026-01-12
**Distributions Built:** Yes, verified
**Documentation:** Complete
**License:** Fixed (SPDX format)
**GitHub:** All changes pushed

---

## What's Ready

### ✅ Package Distributions
```
dist/hologram_cognitive-0.1.0-py3-none-any.whl  (28KB)
dist/hologram_cognitive-0.1.0.tar.gz            (33KB)
```

**Verified Contents:**
- All hologram/*.py modules (coordinates, dag, pressure, router, system)
- README.md (comprehensive 566-line documentation)
- LICENSE (MIT)
- Tests (test_hologram.py)
- pyproject.toml (SPDX license format, no deprecation warnings)

### ✅ Documentation
- `README.md` - Full documentation with lighthouse explanation
- `FIXES_AND_EXPERIMENTS.md` - Technical deep-dive
- `PYPI_PUBLICATION.md` - Complete publication guide (step-by-step)

### ✅ Git Repository
- All changes committed (commit 3bcfe0a)
- Pushed to GitHub: https://github.com/GMaN1911/hologram-cognitive
- Latest commit: "chore: prepare for PyPI publication v0.1.0"

---

## Quick Upload Steps

### 1. Navigate to Project
```bash
cd /home/garret-sutherland/hologram-cognitive-v0.1.0/hologram-cognitive
```

### 2. Activate Build Environment
```bash
source build_env/bin/activate
```

### 3. Upload to Test PyPI (Recommended First)
```bash
twine upload --repository testpypi dist/*
```

**Enter credentials when prompted:**
- Username: `__token__`
- Password: Your Test PyPI token (starts with `pypi-AgENT...`)

**Expected URL:**
https://test.pypi.org/project/hologram-cognitive/0.1.0/

### 4. Test Installation from Test PyPI
```bash
# Create test environment
python3 -m venv test_install
source test_install/bin/activate

# Install from Test PyPI
pip install --index-url https://test.pypi.org/simple/ hologram-cognitive

# Verify import
python -c "from hologram import CognitiveSystem; print('✅ Import successful')"

# Clean up
deactivate
rm -rf test_install
```

### 5. Upload to Production PyPI
```bash
# Back to build environment
source build_env/bin/activate

# Upload to PyPI (PERMANENT - cannot be undone!)
twine upload dist/*
```

**Enter credentials when prompted:**
- Username: `__token__`
- Password: Your PyPI token (starts with `pypi-AgENT...`)

**Expected URL:**
https://pypi.org/project/hologram-cognitive/0.1.0/

### 6. Verify Production Installation
```bash
# Clean environment
python3 -m venv verify_install
source verify_install/bin/activate

# Install from PyPI
pip install hologram-cognitive

# Verify
python -c "
from hologram import CognitiveSystem, PressureConfig
system = CognitiveSystem()
print(f'✅ Version: 0.1.0')
print(f'✅ Lighthouse enabled: {system.pressure_config.use_toroidal_decay}')
"

# Clean up
deactivate
rm -rf verify_install
```

---

## Post-Publication Checklist

### 1. Create Git Tag
```bash
git tag -a v0.1.0 -m "Release v0.1.0 - The Lighthouse

Features:
- Pressure-conserving attention dynamics
- Auto DAG discovery (6 strategies)
- Lighthouse toroidal decay (ENABLED by default)
- Ghost edge prevention
- State drift correction

The Lighthouse: Non-disruptive re-anchoring for long-context sessions.
Resurrects forgotten files to WARM tier without displacing active work."

git push origin v0.1.0
```

### 2. Create GitHub Release
- Go to: https://github.com/GMaN1911/hologram-cognitive/releases
- Click "Draft a new release"
- Select tag: v0.1.0
- Title: "Hologram Cognitive v0.1.0 - The Lighthouse 🔦"
- Description: Use template from PYPI_PUBLICATION.md (Post-Publication section)
- Attach distributions (optional):
  - dist/hologram_cognitive-0.1.0.tar.gz
  - dist/hologram_cognitive-0.1.0-py3-none-any.whl
- Check "Set as the latest release"
- Publish

### 3. Update Global Integration Docs
Add installation instructions to `~/.claude/HOLOGRAM_INTEGRATION.md`:

```markdown
## Installation

Hologram Cognitive is now available on PyPI:

\```bash
pip install hologram-cognitive
\```

Or from source:
\```bash
git clone https://github.com/GMaN1911/hologram-cognitive.git
cd hologram-cognitive
pip install -e .
\```
```

---

## PyPI Credentials Setup

If you haven't set up PyPI credentials:

### Create Accounts
1. **Test PyPI:** https://test.pypi.org/account/register/
2. **Production PyPI:** https://pypi.org/account/register/

### Generate API Tokens
1. Go to: https://pypi.org/manage/account/token/
2. Create token with scope: "Entire account" or "hologram-cognitive"
3. Save token securely

### Configure ~/.pypirc
```bash
cat > ~/.pypirc << 'EOF'
[pypi]
username = __token__
password = pypi-AgENT... (your production token)

[testpypi]
username = __token__
password = pypi-AgENT... (your test token)
EOF

chmod 600 ~/.pypirc
```

---

## Troubleshooting

### "Package already exists"
- You cannot overwrite existing versions on PyPI
- Increment version in `pyproject.toml` (e.g., 0.1.1)
- Rebuild: `python -m build`
- Upload new version

### "Invalid authentication"
- Check `~/.pypirc` configuration
- Verify token starts with `pypi-AgENT`
- Ensure username is `__token__` (not your account name)

### "twine: command not found"
```bash
source build_env/bin/activate
pip install --upgrade twine
```

### Build deprecation warnings
- Already fixed in commit 3bcfe0a
- License now uses SPDX format: `license = "MIT"`
- Deprecated classifier removed

---

## Key Features to Highlight

When announcing or documenting hologram-cognitive, emphasize:

### 🔦 The Lighthouse (Unique Feature)
- **Problem:** Long-context sessions (>1000 turns) → human memory fails
- **Solution:** Toroidal decay resurrects forgotten files to WARM tier
- **Design:** Non-disruptive (doesn't displace HOT files)
- **Metaphor:** Lighthouse beam illuminates without moving your ship
- **Result:** Compensates for working memory degradation

### 🌊 Conservation Physics
- **Fixed pressure budget:** 10.0 total
- **Lateral inhibition:** Boosting signal mechanically drains noise
- **No unbounded growth:** Conservation prevents context explosion
- **Proven:** More signal ≠ more noise (breaks traditional RAG)

### 📊 Auto DAG Discovery
- **Zero configuration:** No manual co-activation needed
- **6 discovery strategies:** Path, filename, parts, imports, links, custom
- **Ghost edge prevention:** Excludes generic terms (utils, test, config)
- **Dynamic weights:** Multi-mention = stronger edge

### 🔄 Production-Ready
- **Tested:** 500-turn A/B comparison (linear vs toroidal decay)
- **Dogfooded:** Managing its own documentation in ~/.claude/
- **Documented:** Comprehensive README, technical deep-dive, publication guide
- **Clean:** No deprecation warnings, SPDX license, proper packaging

---

## Success Metrics

After publication, monitor:

### PyPI Stats
- Download count: https://pypistats.org/packages/hologram-cognitive
- Version distribution: Which Python versions are users on?
- Install sources: PyPI vs Test PyPI vs GitHub

### GitHub Activity
- Stars, forks, issues
- Pull requests
- Feedback in discussions

### Integration Feedback
- Claude Code integration reports
- Performance in production environments
- Lighthouse resurrection effectiveness

---

## Next Steps After PyPI

### Immediate (Week 1)
- [x] Build distributions
- [x] Fix license deprecation
- [x] Create publication guide
- [x] Commit and push changes
- [ ] Upload to Test PyPI
- [ ] Verify test installation
- [ ] Upload to Production PyPI
- [ ] Create git tag and GitHub release

### Short Term (Month 1)
- [ ] Monitor PyPI downloads
- [ ] Respond to issues/feedback
- [ ] Update documentation based on user questions
- [ ] Consider blog post or announcement

### Medium Term (Quarter 1)
- [ ] Evaluate lighthouse effectiveness in production
- [ ] Consider adaptive tier thresholds (percentile-based)
- [ ] Explore hub governance (degree-based weighting)
- [ ] Visualization tools (pressure heatmaps)

### Long Term (Year 1)
- [ ] Claude Code native integration
- [ ] Multi-user support (shared context)
- [ ] Cluster-based routing (SCC utilization)
- [ ] Real-time adaptive parameters

---

## Philosophy Reminder

**Conservation Over Addition**
- Don't just add context - manage attention budget
- Boosting signal mechanically suppresses noise

**Discovery Over Configuration**
- Auto DAG replaces manual co-activation
- Relationships emerge from content

**Agency Over Automation**
- Lighthouse illuminates, doesn't force
- WARM resurrection = visible but non-disruptive
- User chooses navigation

---

## Contact and Support

**Repository:** https://github.com/GMaN1911/hologram-cognitive
**Issues:** https://github.com/GMaN1911/hologram-cognitive/issues
**PyPI:** https://pypi.org/project/hologram-cognitive/ (after publication)
**Author:** Garret Sutherland (gsutherland@mirrorethic.com)
**License:** MIT

---

## Final Checklist

- [x] Distributions built and verified
- [x] License format fixed (SPDX)
- [x] No deprecation warnings
- [x] Documentation complete
- [x] Changes committed and pushed
- [x] Publication guide created
- [ ] PyPI credentials configured
- [ ] Test PyPI upload
- [ ] Production PyPI upload
- [ ] Git tag created
- [ ] GitHub release published
- [ ] Integration docs updated

---

**You're ready to publish! 🚀**

See `PYPI_PUBLICATION.md` for detailed step-by-step instructions.

The lighthouse is ready to shine. 🔦
