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langchain-storacha-ensemble

v0.1.4

Published

Ensemble learning for LangChain agents with Storacha decentralized storage

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Links

Maintainers

ethayushethayush

Keywords

langchainstorachaensembleaillmdecentralized

Readme

langchain-storacha-ensemble

Ensemble learning for LangChain agents with Storacha decentralized storage.

Overview

This package enables collaborative AI by combining LangChain agents with Storacha's decentralized storage for ensemble learning. It allows multiple AI agents to share their inputs, outputs, and reasoning chains, leading to more robust and transparent decision-making.

Installation

Features

  • Agent Execution with Persistent Storage: Run LangChain agents and automatically store their inputs, outputs, and reasoning chains to Storacha
  • Ensemble Learning: Aggregate results from multiple AI agents using different voting strategies
  • Knowledge Sharing: Enable agents to access and build upon each other's reasoning
  • Decentralized Memory: Create a persistent, decentralized memory using Storacha

Quick Start

API Reference

StorachaAgentWrapper

Wraps LangChain agents to log their execution data to Storacha.

EnsembleManager

Collects and aggregates results from multiple agents.

StorachaClient

Handles communication with Storacha's decentralized storage.

Configuration

StorachaConfig

EnsembleConfig

Environment Variables

Create a .env file based on the provided .env.example:

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.