Fits your stack. Not the other way around.
First-class integrations with the frameworks you already use. Three lines of code to add persistent memory to any AI agent.
Framework integrations
Native support for the most popular AI agent frameworks.
Vercel AI SDK
Drop-in memory for Next.js AI applications. Add persistent context to any AI SDK chat with a single provider wrapper.
import { DeltaMemory } from 'deltamemory/ai-sdk';
const memory = new DeltaMemory({ url: 'localhost:6969' });
const result = await streamText({
model: openai('gpt-4'),
messages,
memory: memory.provider('user_123'),
});LangChain
Compatible with LangChain's memory interface. Replace ConversationBufferMemory with DeltaMemory for persistent, cognitive recall across chains.
from deltamemory import DeltaMemoryLangChain
memory = DeltaMemoryLangChain(
url="localhost:6969",
collection="user_123"
)
chain = ConversationChain(
llm=llm,
memory=memory
)CrewAI
Enable multi-agent systems to share and maintain memory across different AI agents. Each crew member contributes to and recalls from a shared knowledge base.
n8n
Native DeltaMemory nodes for n8n workflows. Ingest data from any trigger, recall context in AI agent nodes, and build memory-aware automations.
AutoGen
Persistent memory for AutoGen multi-agent conversations. Agents retain context across sessions and share knowledge through DeltaMemory's graph.
LLM providers
Bring your own model. DeltaMemory works with any provider.
Server APIs
Multiple protocols for different integration needs.