Agent Conversation Memory And Context Management

via “conversational-agent-with-memory-and-context”

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Unique: Implements memory as a first-class abstraction with support for multiple memory types (short-term, long-term, semantic), automatic context window management, and integration with LLM prompts. The repository demonstrates memory-enhanced agents using LangChain's memory classes and custom implementations, showing both simple in-memory approaches and advanced semantic search patterns.

Provides explicit memory management with context window awareness, whereas basic chatbots rely on manual history management, and some frameworks (e.g., simple LLM APIs) provide no built-in memory support.