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.
vs others: 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.