alchemyst-langchain 0.1.0

Persistent memory integration for LangChain powered by Alchemyst AI

Alchemyst LangChain

Persistent memory for LangChain powered by Alchemyst AI.

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Installation

pip install alchemyst-langchain

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Quick Start

from alchemyst_langchain import AlchemystMemory
from langchain.chains import ConversationChain
from langchain_openai import ChatOpenAI

# Create persistent memory
memory = AlchemystMemory(
    api_key="your-alchemyst-api-key",
    session_id="user-123"
)

# Use with LangChain
llm = ChatOpenAI(model="gpt-4o-mini")
chain = ConversationChain(llm=llm, memory=memory)

# Chat
response = chain.invoke({"input": "My name is Alice"})
print(response['response'])

# Later... memory persists!
response = chain.invoke({"input": "What's my name?"})
print(response['response'])  # "Alice"

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Features

• 💾 Persistent Memory - Survives restarts
• 🔗 LangChain Compatible - Drop-in replacement
• 🚀 Easy Setup - 3 lines of code
• 🔒 Session Isolation - Multi-user support
• ✅ Production Ready - Tested and reliable

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API

AlchemystMemory

memory = AlchemystMemory(
    api_key="your-key",      # Alchemyst AI API key
    session_id="user-123"    # Unique session identifier
)

Methods:

• save_context(inputs, outputs) - Save conversation
• load_memory_variables(inputs) - Load history
• clear() - Clear session memory

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Examples

Basic Usage

memory = AlchemystMemory(
    api_key="your-key",
    session_id="session-1"
)

chain = ConversationChain(llm=llm, memory=memory)
chain.invoke({"input": "Hello!"})

Multi-User Support

# Different users, different sessions
alice_memory = AlchemystMemory(api_key=key, session_id="alice")
bob_memory = AlchemystMemory(api_key=key, session_id="bob")

Clear Memory

# Delete session data
memory.clear()

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Environment Setup

Create .env file:

ALCHEMYST_AI_API_KEY=your_api_key_here
OPENAI_API_KEY=your_openai_key_here

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Development

# Install
pip install -e ".[dev]"

# Run tests
pytest

# Build
python -m build

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Get API Key

Sign up at getalchemystai.com

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Links

• Documentation: https://getalchemystai.com/docs
• GitHub: https://github.com/Alchemyst-ai/alchemyst-langchain
• PyPI: https://pypi.org/project/alchemyst-langchain

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