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Honcho CrewAI Integration

Build CrewAI agents with persistent memory and reasoning capabilities powered by Honcho.

Installation

pip install honcho-crewai

Quick Start

from crewai import Agent, Task, Crew, Process
from crewai.memory.external.external_memory import ExternalMemory
from honcho_crewai import HonchoStorage

# Initialize Honcho storage
storage = HonchoStorage(user_id="user-123")
external_memory = ExternalMemory(storage=storage)

# Create agent with memory
agent = Agent(
    role="AI Assistant",
    goal="Help users with persistent memory",
    backstory="You remember past conversations.",
)

# Create crew with external memory
crew = Crew(
    agents=[agent],
    tasks=[task],
    external_memory=external_memory
)

Features

Automatic Memory: CrewAI agents automatically store and retrieve conversation context
Semantic Search: Find relevant past messages using vector similarity
Logical Reasoning: Query what the system knows about users via the Dialectic API
Multi-Agent Support: Give each agent distinct memory and identity
Tools Integration: HonchoGetContextTool, HonchoDialecticTool, and HonchoSearchTool for explicit memory control

Documentation

For comprehensive guides, examples, and API reference, visit: https://docs.honcho.dev/v2/integrations/crewai

Examples

Check out complete examples in the GitHub repository.

License

AGPL-3.0-or-later

Support

Report issues: GitHub Issues
Documentation: docs.honcho.dev
Website: honcho.dev

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