The invisible database for AI agents - LCA Architecture v3.0.0
Project description
KoruDelta Python Bindings
Python bindings for KoruDelta - The Causal Database with LCA Architecture v3.0.0.
Installation
pip install koru-delta
Or install from source:
git clone https://github.com/swyrknt/koru-delta.git
cd koru-delta/bindings/python
pip install maturin
maturin develop
Quick Start
import asyncio
from koru_delta import Database
async def main():
# Create database
db = await Database.create()
# Store data
await db.put("users", "alice", {"name": "Alice"})
# Retrieve
user = await db.get("users", "alice")
print(user["name"]) # "Alice"
asyncio.run(main())
Cluster Mode (Distributed)
KoruDelta Python supports full cluster mode with automatic write replication:
import asyncio
from koru_delta import ClusterConfig, ClusterNode
async def main():
# Create first node (seed)
config1 = ClusterConfig(bind_addr="0.0.0.0:7878")
node1, db1 = await ClusterNode.start_with_db("/tmp/db1", config1)
print(f"Node 1: {node1.node_id()} @ {node1.bind_addr()}")
# Create second node joining the first
config2 = ClusterConfig(
bind_addr="0.0.0.0:7879",
join_addr="127.0.0.1:7878"
)
node2, db2 = await ClusterNode.start_with_db("/tmp/db2", config2)
print(f"Node 2: {node2.node_id()} @ {node2.bind_addr()}")
# Write to node 1 - automatically replicates to node 2
await db1.put("test", "key", {"message": "Hello from node 1"})
# Read from node 2 - sees the replicated data
import time
time.sleep(1) # Wait for replication
value = await db2.get("test", "key")
print(value) # {"message": "Hello from node 1"}
# Check peers
print(f"Node 1 peers: {node1.peers()}")
print(f"Node 2 peers: {node2.peers()}")
# Cleanup
await node1.stop()
await node2.stop()
asyncio.run(main())
Features
- Causal Storage: Every change is versioned and auditable
- Time-Travel: Query any historical state with
get_at() - Vector Search: Built-in semantic search with embeddings
- Distributed Cluster: Multi-node with automatic replication
- Natural Lifecycle: Hot→Warm→Cold→Deep memory tiers
- Edge-Ready: 8MB binary, runs anywhere
API Reference
Database Operations
# Basic CRUD
db = await Database.create()
await db.put("namespace", "key", {"data": "value"})
value = await db.get("namespace", "key")
history = await db.history("namespace", "key")
past_value = await db.get_at("namespace", "key", "2024-01-01T00:00:00Z")
# Vector search (semantic similarity)
await db.put_similar("docs", "doc1", "Hello world", {"type": "greeting"})
results = await db.find_similar("docs", "hello query", top_k=5)
# Batch operations
items = [
{"namespace": "users", "key": "alice", "value": {"name": "Alice"}},
{"namespace": "users", "key": "bob", "value": {"name": "Bob"}},
]
await db.put_batch(items)
# Queries
results = await db.query("users", filters={"age": {"gt": 18}}, sort="name")
Cluster Operations
from koru_delta import ClusterConfig, ClusterNode
# Create cluster configuration
config = ClusterConfig(
bind_addr="0.0.0.0:7878", # Address to bind
join_addr="192.168.1.100:7878" # Optional: join existing cluster
)
# Start clustered database
node, db = await ClusterNode.start_with_db("/path/to/db", config)
# Node info
node_id = node.node_id() # Unique node identifier
address = node.bind_addr() # Actual bound address
peers = node.peers() # List of connected peers
# Shutdown
await node.stop()
Run the Examples
# Quick start - basic operations
python examples/01_quickstart.py
# AI Agent - semantic memory with vectors
python examples/02_ai_agent.py
# Audit Trail - fraud detection with time-travel
python examples/03_audit_trail.py
# Config Management - incident post-mortem
python examples/04_config_management.py
# Cluster - distributed mode (NEW)
python examples/05_cluster.py
Documentation
- Python API Reference: See
docs/directory for Sphinx documentation - LCA Architecture Guide: Understanding the Local Causal Agent architecture
- Examples: Check the
examples/directory for complete working examples - Main Repository: https://github.com/swyrknt/koru-delta
Building Documentation
cd docs
pip install sphinx sphinx-rtd-theme
make html
# Documentation will be in _build/html/
Platform Support
| Feature | Python Support |
|---|---|
| Core Operations (put/get/history) | ✅ Full |
| Time Travel | ✅ Full |
| Vector Search | ✅ Full |
| Views | ✅ Full |
| Identity/Auth | ✅ Full |
| Cluster/Distributed | ✅ Full |
| Workspaces | ✅ Full |
Version
Python bindings version: 3.0.0 (matches Rust core)
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