Aury Agent Framework - React Agent and Workflow orchestration
Project description
Aury Agents
A flexible Agent framework supporting both React Agent (autonomous loop) and Workflow (DAG orchestration) patterns.
Features
- React Agent: Autonomous agent with tool calling loop
- Workflow: DAG-based orchestration for complex pipelines
- Session Management: Event-sourced session with snapshot and revert
- Permission System: Fine-grained tool execution control
- Memory System: Semantic memory with vector storage
- Compaction: Token-efficient session history management
Installation
pip install aury-agent
Quick Start
from aury.agents import ReactAgent, Tool
# Define a tool
@tool
def search(query: str) -> str:
"""Search the web."""
return f"Results for: {query}"
# Create agent
agent = ReactAgent(
tools=[search],
llm_provider=your_llm_provider,
)
# Run
result = await agent.run("What is the weather today?")
Development
# Install dev dependencies
uv sync
# Run tests
pytest
# Type check
mypy aury
# Lint
ruff check aury
License
MIT
Project details
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