LangChain integration for CortexDB — long-term memory for AI systems
Project description
cortexdb-langchain
LangChain integration for CortexDB long-term memory.
LLM provider note (audit BLK-2): the canonical quickstart uses
from langchain_openai import ChatOpenAIfor the example agent. CortexDB itself is LLM-agnostic — the LangChain example just needs some model to drive the agent. Swap with one line:# OpenAI (default in the docs) from langchain_openai import ChatOpenAI llm = ChatOpenAI(model="gpt-4o") # Anthropic from langchain_anthropic import ChatAnthropic llm = ChatAnthropic(model="claude-sonnet-4-6") # Google from langchain_google_genai import ChatGoogleGenerativeAI llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro") # Local / Ollama (no API key) from langchain_community.chat_models import ChatOllama llm = ChatOllama(model="llama3.1")Nothing in
cortexdb-langchainreadsOPENAI_API_KEY. The retriever and memory classes only talk to the CortexDB v1 surface.
Install
pip install cortexdb-langchain
API base URL
The SDK and integration default to https://api-v1.cortexdb.ai (audit FRI-8).
Override with CORTEXDB_API_URL if you self-host.
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