Metadata-Version: 2.4
Name: agentic-brain
Version: 0.1.0
Summary: Portable binary graph memory for AI agents
Project-URL: Homepage, https://github.com/oowolabi/agentic-memory
Project-URL: Documentation, https://github.com/oowolabi/agentic-memory/docs
Project-URL: Repository, https://github.com/oowolabi/agentic-memory
Author: Omoshola Owolabi
License-Expression: MIT
License-File: LICENSE
Keywords: agent,ai,graph,llm,memory
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Provides-Extra: all
Requires-Dist: anthropic>=0.40.0; extra == 'all'
Requires-Dist: httpx>=0.27.0; extra == 'all'
Requires-Dist: openai>=1.50.0; extra == 'all'
Provides-Extra: anthropic
Requires-Dist: anthropic>=0.40.0; extra == 'anthropic'
Provides-Extra: dev
Requires-Dist: mypy>=1.10; extra == 'dev'
Requires-Dist: pytest-cov>=5.0; extra == 'dev'
Requires-Dist: pytest>=8.0; extra == 'dev'
Provides-Extra: ollama
Requires-Dist: httpx>=0.27.0; extra == 'ollama'
Provides-Extra: openai
Requires-Dist: openai>=1.50.0; extra == 'openai'
Description-Content-Type: text/markdown

# AgenticMemory Python SDK

Python SDK for AgenticMemory — portable binary graph memory for AI agents.

## Install

```bash
pip install agentic-memory
```

### With LLM integrations

```bash
pip install agentic-memory[anthropic]   # Claude
pip install agentic-memory[openai]      # GPT
pip install agentic-memory[ollama]      # Local models
pip install agentic-memory[all]         # All providers
```

## Quick Start

```python
from agentic_memory import Brain

brain = Brain("my_agent.amem")
brain.add_fact("User is a Python developer", session=1)
brain.add_decision("Recommended FastAPI for REST APIs", session=1)

print(brain.facts())
print(brain.info())
```

## With LLM Integration

```python
from agentic_memory import Brain, MemoryAgent
from agentic_memory.integrations import AnthropicProvider

brain = Brain("my_agent.amem")
agent = MemoryAgent(brain, AnthropicProvider())

response = agent.chat("My name is Alice. I work on ML systems.", session=1)
response = agent.chat("What do I work on?", session=2)
```

## Requirements

- Python >= 3.10
- `amem` binary (Rust core engine) — install via `cargo install amem`

## Documentation

- [API Reference](../docs/api-reference.md)
- [Integration Guide](../docs/integration-guide.md)
- [Full README](../README.md)

## License

MIT
