Portable binary graph memory for AI agents
Project description
AgenticMemory Python SDK
Python SDK for AgenticMemory — portable binary graph memory for AI agents.
Install
pip install agentic-brain
With LLM integrations
pip install agentic-brain[anthropic] # Claude
pip install agentic-brain[openai] # GPT
pip install agentic-brain[ollama] # Local models
pip install agentic-brain[all] # All providers
Quick Start
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
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
amembinary (Rust core engine) — install viacargo install amem
Documentation
License
MIT
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