PraisonAI + Awareness Memory

Add persistent, cross-session memory to your PraisonAI agents. Tools and workflows remember past context across sessions.

Installation

pip install awareness-memory-cloud[praisonai]

Quick Start

from memory_cloud import MemoryCloudClient
from memory_cloud.integrations.praisonai import MemoryCloudPraisonAI
import openai

# Local mode (no API key needed)
client = MemoryCloudClient(mode="local")
mc = MemoryCloudPraisonAI(client=client)  # memory_id auto-managed

# Cloud mode (team collaboration, semantic search, multi-device sync)
client = MemoryCloudClient(base_url="https://awareness.market/api/v1", api_key="YOUR_API_KEY")
mc = MemoryCloudPraisonAI(client=client, memory_id="memory_123")

# Wrap the LLM client for auto-recall + auto-capture
mc.wrap_llm(openai.OpenAI())

# Or get tool dicts for PraisonAI agent config
tools = mc.build_tools()

Integration Patterns

Pattern 1: Interceptor (Zero-Code Memory)

mc.wrap_llm(openai.OpenAI())
# All LLM calls within your PraisonAI agents now have cross-session memory

Pattern 2: Tool Registration

tools = mc.build_tools()

# Use in PraisonAI agent config
agent_config = {
    "tools": tools,
    # ...
}

Pattern 3: Direct API

result = mc.awareness_recall("What decisions were made about the database schema?")
mc.awareness_record("Migrated from MySQL to PostgreSQL for JSON support")

Use Cases

PraisonAI agents with cross-session memory — knowledge persists between runs
Tool-based memory access — agents can read and write memory via registered tools
Multi-agent workflows — shared memory across agent teams

Multi-User / Multi-Role

mc_analyst = MemoryCloudPraisonAI(
    client=client, memory_id="memory_123",
    default_metadata={"agent_role": "analyst", "user_id": "alice"}
)

Example

See examples/e2e_praisonai_cloud.py in the SDK repository for a complete end-to-end example.

Next Steps

SDK Usage Guide — Interceptor pattern and full API reference
LangChain Integration — Use with LangChain
CrewAI Integration — Use with CrewAI
AutoGen Integration — Use with AutoGen

PraisonAI Integration