Metadata-Version: 2.4
Name: recallbricks
Version: 0.1.0
Summary: The Memory Layer for AI - Persistent memory across all AI models
Home-page: https://github.com/recallbricks/recallbricks-python
Author: RecallBricks
Author-email: support@recallbricks.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.31.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# RecallBricks Python SDK

The Memory Layer for AI - Persistent memory across all AI models.

## Installation
```bash
pip install recallbricks
```

## Quick Start
```python
from recallbricks import RecallBricks

rb = RecallBricks("your-api-key")

# Create a memory
memory = rb.create_memory(
    text="User prefers dark mode",
    tags=["preference", "ui"]
)

# Search memories
results = rb.search("dark mode", limit=5)
for memory in results:
    print(memory.text)
```

## Documentation

Visit https://recallbricks.com/docs for full documentation.

## License

MIT
