velixar-langchain

Velixar AI memory integration for LangChain. Gives your LangChain agents persistent, cognitive memory that understands users across sessions.

Install

pip install velixar-langchain

Retriever

from velixar_langchain import VelixarRetriever

retriever = VelixarRetriever(
    api_key="vx_...",
    workspace_id="ws_abc123",
)

# Use in a chain
docs = retriever.invoke("What are the user's preferences?")

Memory

from velixar_langchain import VelixarMemory

memory = VelixarMemory(
    api_key="vx_...",
    workspace_id="ws_abc123",
    user_id="user_1",
)

# Use with any LangChain chain
from langchain.chains import ConversationChain
chain = ConversationChain(llm=llm, memory=memory)

Features

• 4-tier hierarchical memory (pinned, session, semantic, org)
• Automatic salience scoring and memory promotion
• Identity modeling and cognitive profiles
• Encrypted embeddings (AES-256-GCM)
• Cross-session persistence

Links

• Velixar AI
• API Docs
• Dashboard