AI Agent Memory: What to Store and What to Throw Away
Everyone is racing to make agents remember more. Bigger context windows, longer histories, a vector...
All Posts
-
-
The harness beat the reasoning dial. Tech & AI Weekly by Eli, September 4 2026
The harness added 36 points to GPT-6 Astra's benchmark. Also: what agent memory should throw away, DoorDash's 130K agent tasks, Kiro Crew goes open source, and pnpm 12 in Rust.
-
AI agents now control lab equipment. Tech & AI Weekly by Eli, August 29 2026
Anthropic released a spec for AI agents to control physical lab equipment. Also: self-improving AI, AWS AgentCore Evaluations, Meta's custom silicon, and a $40k hackathon.
-
Memoria de Grafo: Cuando la Búsqueda Vectorial Falla
📦 Clona y dale ⭐ a stop-ai-agents-losing-memory-sample-for-aws Los agentes de IA acumulan hechos...
-
Graph Memory: When Vector Search Fails
📦 Clone and ⭐ stop-ai-agents-losing-memory-sample-for-aws AI agents accumulate facts across...
-
Observability for AI Agents with OpenTelemetry
AI agent observability means capturing your agent's reasoning cycles, tool calls, and token usage as...
-
Amazon DynamoDB Vector Search. No Separate Vector Store
Amazon DynamoDB Vector Search GA: add a vector index to an existing table. Same accuracy as S3 Vectors, single-digit ms latency, data and embeddings collocated.
-
Amazon DynamoDB Vector Search. Sin Vector Store Separado
Amazon DynamoDB Vector Search GA: agrega un índice vectorial a una tabla existente. Misma precisión que S3 Vectors, latencia de un solo dígito en ms, vectores y
-
Memory Is Having a Moment. Tech & AI Weekly by Eli, August 14 2026
Two weeks of AI in one edition: context engineering from 35% to 98%, Meta's local 30B agent model, a shared plugin standard backed by five companies, and Anthropic's dream memory.
-
AI Agent Memory: Add Semantic Search Without a Vector Database
Keyword search misses intent questions. Semantic search finds them. Add vector search to AI agent memory with FAISS or S3 Vectors, benchmarked.
