//agent memory
Continuous Learning Systems: AI Agents That Remember and Improve From Feedback
Tags : Agent Feedback Loopagent memoryAgent PersonalizationAI Agent LearningAI PersonalizationContinuous Learning SystemsLettaLong-Term MemoryMem0Memory ConsolidationMemory LayerMemory RetrievalSelf-Improving Agentsstateful agentsUser Preference Learning
Most AI agents today have a strange kind of amnesia. They solve a problem brilliantly in one session, then start from zero the next time the same user returns. Every correction a person makes, every preference they express, every workflow pattern they repeat — all of it evaporates when the conversation ends. Continuous learning AI.. Read more
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Context Engineering: Why Relevant Context Beats Clever Prompts for AI Agents
Tags : agent memoryagentic AIAI agentscontext compactionContext Engineeringcontext managementcontext rotcontext windowjust-in-time retrievalLLM agentsprompt engineeringRAGretrieval augmented generationsub-agent architecturetoken management
For years, building with language models meant perfecting the words inside a prompt. That era is closing. As AI agents take on multi-step work—researching, calling APIs, writing files, waiting on human approvals—the decisive question is no longer “what should I write?” but “what information should enter the model’s attention at each step?” This is context..
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