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Du-RAG: Durable RAG — persistent memory for AI agents

Project description

Du-RAG

Du-RAG

Durable RAG — a persistent memory layer for AI agents built on retrieval-augmented generation.

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pip install durag
from durag import Memory

m = Memory()

m.add("Alice loves Python and open source", user_id="alice")
m.add("Alice built Du-RAG", user_id="alice")

history = m.get_all(filters={"user_id": "alice"})
print(history)

API Keys

Du-RAG requires a provider API key. Set the env var for your preferred provider before first use:

Provider Env Var Used For
OpenAI (default) OPENAI_API_KEY Embeddings + LLM
Anthropic ANTHROPIC_API_KEY LLM
Google Gemini GOOGLE_API_KEY Embeddings + LLM
DeepSeek DEEPSEEK_API_KEY LLM
Together AI TOGETHER_API_KEY Embeddings + LLM
Groq GROQ_API_KEY LLM
MiniMax MINIMAX_API_KEY LLM
Sarvam AI SARVAM_API_KEY LLM
vLLM VLLM_API_KEY LLM
export OPENAI_API_KEY="sk-..."

Features

  • Persistent memory across conversations — agents remember what they learn
  • Semantic search via vector embeddings — find the right context fast
  • Multiple backends — OpenAI, Anthropic, Gemini, DeepSeek, Ollama, vLLM, and more
  • Vector stores — Qdrant (default), FAISS, Chroma, Pinecone, Weaviate, and others

License

Apache 2.0

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