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All digests tagged Agent Architecture
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How do you give AI agents real autonomy without catastrophic failure? John Feminella details five composable controls—from Agent Registry to Classifier use—to govern non-deterministic AI systems.
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Context rot degrades agent reasoning as history piles up. Deep Agents mitigates this using offloading (saving large tool results to virtual file systems) and summarization (condensing context when token usage hits 85%).
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Pi Durable is a building block for always-on agents, designed to ensure reliable crash recovery for long-running tasks. It replaces the Pi harness, using persistent storage like SQLite to maintain agent state across interruptions.
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Liquid AI details how to build proactive Personal AI agents by creating a 'Personal Context Layer.' This layer ingests fragmented, real-time device signals (audio, location, motion) to enable intelligent, privacy-preserving routing between edge and cloud models.
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Learn how AI agents leak secrets through logs and tool calls. Discover advanced patterns like split-key custody, narrow agent scope, and confidential compute to build truly private AI systems.
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AI governance must move from prompt instructions to the infrastructure layer. Learn how a Gateway blocks data exfiltration, enforces rate limits, and controls costs in agentic workflows.
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Jeremy Adams details building a wearable AI agent (NanoClaw) on a Raspberry Pi 4B. The system uses Neo4j and the POLE schema to create offline-first, graph-based memory, demonstrating robust edge computing capabilities.
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Optimizing open source libraries for LLMs requires shifting focus from human SEO to agent primitives. Key strategies include manually curating LLMs.txt and bundling markdown into node_modules.
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AI News & Strategy Daily | Nate B Jones
AI agents can cause damage not through malice, but by following ambiguous instructions. Learn how poisoned skills and 'swarm attacks' threaten modern software and what identity scoping is required to secure your systems.
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Building AI SRE agents requires overcoming petabyte-scale data challenges. Success hinges on creating a robust agent harness, building a production world model, and strategically balancing offline vs. online search.
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