Build a ChatGPT-style chatbot with persistent memory using the OpenAI SDK and Atulya. Three API calls — retain(), recall(), reflect() — and your app remembers users across restarts, no vector database or RAG pipeline required.
AI agents forget everything between sessions. Atulya gives them persistent, structured memory via MCP. One Docker command to run the full stack locally. Connect any MCP-compatible client. Three core operations: retain (store), recall (search), reflect (reason) — plus mental models that auto-update as memories grow.
atulya-litellm adds persistent memory to any LLM provider via LiteLLM — OpenAI, Anthropic, Groq, Azure, Bedrock, Vertex AI, and 100+ more. Three lines of setup, and every LLM call automatically gets context from past conversations.
CrewAI agents lose all memory when a crew finishes. atulya-crewai plugs into CrewAI's ExternalMemory to persist knowledge across runs -- three lines of setup, and your agents automatically store task outputs and recall relevant context.
@eight-atulya/atulya-chat adds persistent memory with one wrapper function