A comprehensive educational repository covering agent memory systems for large language models launched on GitHub on May 5, 2026, and has already accumulated 216 stars. The Agent Memory Techniques repository provides 30 runnable Jupyter notebooks that teach developers how LLM-based agents can retain and utilize information across conversations and sessions.
Repository Covers Six Families of Memory Techniques
The collection organizes memory approaches into six distinct categories:
- Short-Term Memory (5 techniques): Managing context within single conversations
- Long-Term Memory (6 techniques): Persistent storage across multiple sessions
- Cognitive Architectures (8 techniques): Human-inspired memory patterns
- Retrieval & Multi-Agent (4 techniques): Memory search and sharing systems
- Frameworks (4 techniques): Production-ready memory libraries including Mem0, Letta, Zep, and Graphiti
- Evaluation & Production (3 techniques): Deployment and performance measurement methods
Each notebook includes hands-on code examples compatible with Google Colab, making the techniques immediately accessible to developers.
Four Major Production Frameworks Featured
The repository demonstrates four established memory frameworks currently used in production environments:
- Mem0: A managed memory layer designed for personalized AI applications
- Letta (formerly MemGPT): Self-editing memory system with inner monologue capabilities
- Zep: Temporal knowledge graphs for long-term memory storage
- Graphiti: Episodic-to-semantic knowledge graph extraction
The materials cover both foundational concepts like conversation buffers and vector stores, as well as advanced topics including episodic and semantic memory, LoCoMo benchmarks, and production deployment patterns. All examples are compatible with major AI platforms including Anthropic, OpenAI, and LangChain.
Key Takeaways
- The Agent Memory Techniques repository provides 30 runnable Jupyter notebooks covering production LLM memory systems
- Six categories organize techniques from short-term conversation buffers to production deployment patterns
- Four major frameworks are demonstrated: Mem0, Letta, Zep, and Graphiti
- All notebooks include Google Colab integration and work with Anthropic, OpenAI, and LangChain
- The repository gained 216 stars within days of its May 5, 2026 launch