Letta

Tech Radar Digest November 2026: Agentic Memory Architecture, Consolidation Pipelines & Context Window Economics Answer-First: The November 2026 Tech Radar establishes governed agentic memory as the production battleground for AI agent swarms. The adopted pattern is a four-tier memory taxonomy (working / episodic / semantic / procedural) backed by hybrid vector+graph retrieval, an asynchronous consolidation pipeline with dedup-conflict-decay stages, and a hard token-budget governor capping memory replay at 15–20% of the context window — cutting swarm token spend 4.2x while holding retrieval precision at 0.91. ...

Tech Radar: Agentic Memory Architecture: Episodic vs Semantic Stores, Consolidation Pipelines & Context Window Economics for Production Agent Swarms Answer-First: Production agent swarms in 2026 fail on memory, not on reasoning. The winning architecture treats memory as a four-tier store — working, episodic, semantic, procedural — backed by a hybrid vector + graph retrieval engine (mem0 or Zep/Graphiti), an asynchronous consolidation pipeline that deduplicates and decays stale facts before they enter long-term storage, and a token-budget governor that caps memory replay at 15–20% of the context window. Teams that replay raw chat history instead of consolidated facts burn 3–8x more tokens per task and degrade accuracy by 22–40% as session count grows. ...