# MemoryGraph SDK v0.1.0 Release Notes
## Summary
The MemoryGraph SDK is complete and ready for initial release to PyPI. This SDK provides native Python integrations for LlamaIndex, LangChain, CrewAI, and AutoGen frameworks.
## What Was Completed
### Section 6: Testing ✅
- **131 tests** passing across all modules
- **98% code coverage** (target was 90%+)
- Comprehensive unit tests for sync and async clients
- Full integration tests for all 4 frameworks
- Mock HTTP responses using respx for fast, reliable tests
- Error handling tested for all exception types
### Section 7: Documentation ✅
- **README.md** (226 lines): Installation, quick start, framework examples
- **api.md** (700 lines): Complete API reference with examples
- **llamaindex.md** (596 lines): Comprehensive LlamaIndex integration guide
- **langchain.md** (304 lines): Complete LangChain integration guide
- **crewai.md** (296 lines): CrewAI integration guide
- **autogen.md** (247 lines): AutoGen integration guide
- **Total**: 2,369 lines of documentation
### Section 8: Publishing Preparation ✅
- **pyproject.toml**: Updated with comprehensive metadata, keywords, classifiers
- **Package built**: Successfully built source distribution and wheel
- **Package validated**: Passed `twine check` validation
- **CI/CD workflow**: GitHub Actions workflow ready for automated testing and releases
- **Multi-Python support**: Tests run on Python 3.9, 3.10, 3.11, 3.12
## Package Details
- **Name**: `memorygraphsdk`
- **Version**: 0.1.0
- **Wheel size**: 50KB
- **Source size**: 37KB
- **License**: Apache-2.0
- **Python support**: >=3.9
## Installation
```bash
# Core SDK
pip install memorygraphsdk
# With framework support
pip install memorygraphsdk[llamaindex]
pip install memorygraphsdk[langchain]
pip install memorygraphsdk[crewai]
pip install memorygraphsdk[autogen]
# All integrations
pip install memorygraphsdk[all]
```
## Key Features
1. **Synchronous and Async Clients**: Full async/await support
2. **Type-Safe**: Complete type hints and Pydantic models
3. **4 Framework Integrations**:
- LlamaIndex (chat memory + retriever)
- LangChain (conversation memory)
- CrewAI (crew memory)
- AutoGen (conversation history)
4. **Comprehensive Error Handling**: Specific exceptions for auth, rate limits, etc.
5. **Well-Tested**: 98% coverage with 131 passing tests
6. **Extensively Documented**: 2,300+ lines of documentation
## Files Created/Modified
### New Files
- `.github/workflows/sdk-release.yml` - CI/CD workflow
- `sdk/docs/api.md` - API reference (700 lines)
- `sdk/docs/llamaindex.md` - LlamaIndex guide (596 lines)
- `sdk/docs/langchain.md` - LangChain guide (304 lines)
- `sdk/docs/crewai.md` - CrewAI guide (296 lines)
- `sdk/docs/autogen.md` - AutoGen guide (247 lines)
- 15 new test files (tests/test_*.py)
### Modified Files
- `sdk/README.md` - Enhanced with features section, support info
- `sdk/pyproject.toml` - Updated metadata, classifiers, license format
- `docs/planning/16-WORKPLAN.md` - Updated with completion status
## Test Results
```
============================= 131 passed in 1.23s ==============================
Coverage Report:
- memorygraphsdk/__init__.py 100%
- memorygraphsdk/async_client.py 99%
- memorygraphsdk/client.py 99%
- memorygraphsdk/exceptions.py 100%
- memorygraphsdk/models.py 100%
- integrations/autogen.py 91%
- integrations/crewai.py 100%
- integrations/langchain.py 95%
- integrations/llamaindex.py 97%
TOTAL 98%
```
## Next Steps (Not in Scope of This Task)
1. **Publishing** (Section 8, remaining):
- Add PYPI_TOKEN to GitHub secrets
- Test publish to TestPyPI
- Publish v0.1.0 to PyPI
- Create GitHub release
2. **Marketing** (Section 9):
- Blog post announcement
- Post to framework communities
- Submit to awesome lists
- Social media announcements
## Release Procedure (When Ready)
1. Add PyPI token to GitHub secrets as `PYPI_TOKEN`
2. Tag the release: `git tag sdk-v0.1.0`
3. Push tag: `git push origin sdk-v0.1.0`
4. GitHub Actions will automatically:
- Run tests on all Python versions
- Build package
- Publish to PyPI
- Create GitHub release
## Command Summary
```bash
# Run tests
cd sdk && python3 -m pytest tests/ -v --cov=memorygraphsdk
# Build package
cd sdk && python3 -m build
# Check package
cd sdk && python3 -m twine check dist/*
# Install locally (for testing)
pip install sdk/dist/memorygraphsdk-0.1.0-py3-none-any.whl
```
## Competitive Differentiation
Unlike Cipher (MCP-only), MemoryGraph SDK provides:
- ✅ Native integrations for 4 major frameworks
- ✅ Both sync and async support
- ✅ Graph-based memory with relationships
- ✅ Production-ready with 98% test coverage
- ✅ Comprehensive documentation
---
**Completed**: 2025-12-08
**Ready for Release**: Yes
**Blocking Issues**: None
