Du-RAG: Durable RAG — persistent memory for AI agents
Project description
Du-RAG
Durable RAG — a persistent memory layer for AI agents built on retrieval-augmented generation.
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
Project details
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