AI Agents
A technical deep-dive into constructing EverMem-style AI agent operating systems featuring hierarchical memory architecture, FAISS vector retrieval, SQLite persistence, and automated memory consolidation.
AI safety
New research proposes formal specification methods and runtime enforcement mechanisms to ensure autonomous AI agents behave reliably and predictably in real-world deployments.
AI Agents
A developer's deep dive into creating SlotBot, an AI agent that mimics solo business owners for scheduling tasks, revealing key lessons about agentic system architecture and the future of AI impersonation.
AI safety
Researchers propose combining self-consistency sampling with conformal calibration to certify AI agent reliability without requiring access to internal model weights or architecture details.
Anthropic
Anthropic acquires computer-use AI startup Vercept following Meta's poaching of a co-founder, signaling intensifying competition in the AI agent space.
AI Agents
Moving beyond simple accuracy, these five metrics—task success rate, tool usage accuracy, context coherence, response latency, and safety compliance—reveal what truly matters when assessing AI agents.
AI Agents
New research introduces MIRA, a framework that integrates memory architectures with reinforcement learning while minimizing expensive LLM calls, advancing efficient autonomous agent design.
AI Agents
New research systematically documents technical and safety features across deployed agentic AI systems, creating a comprehensive index for understanding how autonomous AI operates in the wild.
AI Agents
OpenPlanter brings Palantir-style recursive AI agent capabilities to the open-source community, enabling micro surveillance use cases with transparent, auditable AI systems.
AI Agents
Learn how to create AI support agents that continuously improve through feedback loops using Langfuse observability. A technical guide to building autonomous systems that learn from interactions.
AI Agents
Technical guide to implementing traceable AI decision-making with comprehensive audit logging and human oversight checkpoints for accountable autonomous systems.
AI Agents
New research introduces MAPLE, a sub-agent architecture enabling memory, learning, and personalization in agentic AI systems through modular design patterns.