LangChain

HydraDB integration for LangChain: persistent, cross-session memory and retrieval for your chains and agents. Install the PyPI package:

pip install langchain-hydradb

from langchain_hydradb import HydraDBClient, HydraDBRetriever

client = HydraDBClient(api_key="sk_live_...", tenant_id="your-database")

# Use HydraDB as a retriever in any chain
retriever = HydraDBRetriever(client=client, kind="both", max_results=6)
docs = retriever.invoke("what did we decide about auth?")

# Write durable memory
client.add_text("We deploy on Fridays only.", infer=True)

Class	Role
`HydraDBClient`	Thin HTTP client, public API only (`POST /query`, `POST /context/ingest`, `DELETE /context`)
`HydraDBRetriever`	`BaseRetriever` over memory, knowledge, or both
`HydraDBChatMessageHistory`	`BaseChatMessageHistory` that persists and recalls turns

Requires langchain-core >= 0.3. Writes use the public knowledge path, so add_text/add_conversation store as knowledge; recall kind may be "memory", "knowledge", or "both". Ingestion is asynchronous, so recall a source only after it finishes indexing.

Feedback and contributions

This plugin is open source. Feel free to raise an issue or contribute on GitHub.

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