A practical map for teams designing agent memory, context engineering, retrieval, RAG systems and long-running AI workflows.
Agent Memory & Context Engineering sits between agent architecture and production reliability. Use this hub when the problem is not model choice alone, but what the system can remember, retrieve, cite, compress, forget and carry safely across tasks.
Start here
- Choosing Between RAG, Long Context, and Fine-Tuning
- RAG vs Long Context vs Fine-Tuning: What Actually Works in Production
- Fine-Tuning vs RAG vs Prompt Engineering: A Decision Framework
- Agentic RAG: How AI Agents Are Rewriting Retrieval
- From Goldfish to Elephant: How Agent Memory Finally Got an Architecture
- Knowledge Graphs Just Made RAG Worth the Complexity
- The RAG Reliability Gap: Why Retrieval Doesn't Guarantee Truth
- Building RAG Systems That Actually Work
- Obsidian CLI Guide: Turn Your Vault Into an API
Memory architecture and context systems
- Knowledge Graphs for AI Agents: Beyond Vector Search
- AI Agent Security in 2026: Prompt Injection, Memory Poisoning, and the OWASP Top 10
Further context signals
- Multi-Agent Reasoning's Memory Problem
- guide_context-window-management-guide.md
- RAG for Legal: Building Document Retrieval That Survives Court
- Open-Weight Model Tradeoffs: Llama, Qwen, and DeepSeek
- Agents That Reshape, Audit, and Trade With Each Other
- Best RAG Frameworks and Tools 2026: From Prototype to Production
- The Goldfish Brain Problem: Why AI Agents Forget and How to Fix It
- More Context Doesn't Kill RAG. It Just Changes the Fight.
- Vector Databases Are Agent Memory. Treat Them Like It
- Llama 4 vs Qwen 3 vs DeepSeek V3 vs Mistral Large: Open-Weight Models 2026
- The AI Agent Security Playbook
- When AI Agents Have Tools, They Lie More
Related Swarm Signal hubs
- Swarm Signal Resources
- AI Agent Systems
- AI Safety, Evals & Guardrails
- Models & Frontiers
- Enterprise AI Operations
How to use this hub
Start here when an AI system needs durable context rather than longer prompts alone. Use the linked pieces to decide what belongs in memory, what should be retrieved, what must be evaluated, and what should never be carried forward without controls.