Documentation Index
Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
Use this file to discover all available pages before exploring further.
Databases Overview
PraisonAI supports 22 database backends across three categories.
Installation
pip install "praisonaiagents[tools]"
Conversation Stores (6)
Store conversation history and session data.
| Database | Backend Key | Docker Command |
|---|
| PostgreSQL | postgres | docker run -d -p 5432:5432 -e POSTGRES_PASSWORD=pass postgres:16 |
| MySQL | mysql | docker run -d -p 3306:3306 -e MYSQL_ROOT_PASSWORD=pass mysql:8 |
| SQLite | sqlite | No setup needed |
| SingleStore | singlestore | Cloud service |
| Supabase | supabase | Cloud service |
| SurrealDB | surrealdb | docker run -d -p 8000:8000 surrealdb/surrealdb |
Knowledge Stores (10)
Vector databases for semantic search and RAG.
| Database | Backend Key | Docker Command |
|---|
| Qdrant | qdrant | docker run -d -p 6333:6333 qdrant/qdrant |
| ChromaDB | chroma | Local file storage |
| Pinecone | pinecone | Cloud service |
| Weaviate | weaviate | docker run -d -p 8080:8080 semitechnologies/weaviate |
| LanceDB | lancedb | Local file storage |
| Milvus | milvus | docker run -d -p 19530:19530 milvusdb/milvus |
| PGVector | pgvector | PostgreSQL + pgvector extension |
| Redis Vector | redis | docker run -d -p 6379:6379 redis/redis-stack |
| Cassandra | cassandra | docker run -d -p 9042:9042 cassandra |
| ClickHouse | clickhouse | docker run -d -p 8123:8123 clickhouse/clickhouse-server |
State Stores (6)
Key-value stores for session state and caching.
| Database | Backend Key | Docker Command |
|---|
| Redis | redis | docker run -d -p 6379:6379 redis:7 |
| MongoDB | mongodb | docker run -d -p 27017:27017 mongo |
| DynamoDB | dynamodb | AWS service |
| Firestore | firestore | GCP service |
| Upstash | upstash | Cloud service |
| Memory | memory | In-process (no persistence) |
Quick Start
The simplest way to add persistence to your agent:
from praisonaiagents import Agent
# Create agent with database persistence
agent = Agent(
name="Assistant",
instructions="You are a helpful assistant.",
memory={
"db": "postgresql://localhost/praisonai",
"session_id": "my-session"
}
)
response = agent.start("Hello!")
print(response)
Backend Examples
from praisonaiagents import Agent
agent = Agent(
name="Bot",
memory={"db": "postgresql://user:pass@localhost:5432/mydb"}
)
response = agent.start("Hello!")
Next Steps
