Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
GoodAI-LTM is a Python library that provides text-based long-term memory for agents by integrating text embeddings, reranking, vector databases, memory and query rewriting, automatic chunking, chunk metadata, and chunk expansion to create a dialog-centric memory stream for social agents. It also includes LTMAgent, a conversational agent component designed for seamless integration into Python applications. The package supports models via the litellm library (e.g., GPT-3.5-turbo), automatically maintains session history, and supports starting new sessions with new_session.
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