architecture
Short-Term vs Long-Term Memory for AI Agents
Understand short-term vs long-term memory for AI agents, including what each layer does and why useful systems need both working together well.
Why Your AI Agent Needs Memory
Why your AI agent needs memory, what breaks without it, and how persistent recall helps agents stay useful across sessions, tasks, and tools.
Building Multi-Agent Systems with Shared Memory Guide
Multi-agent memory works when agents share the right bank boundaries. This guide covers shared agent context, isolation patterns, and when Hindsight fits best.
Hermes Agent Holographic Memory: A Technical Deep Dive
Hermes agent holographic memory uses HRR algebra, local SQLite, and trust scoring. This deep dive explains the architecture and tradeoffs clearly.
Why AI Agents Lose Context, and How Hindsight Fixes It
AI agent context window limits cause dropped preferences, broken continuity, and weak recall. Hindsight fixes that with persistent memory built for agents.