AI Agents
SkillNet Framework Enables Modular AI Skill Networks
New research introduces SkillNet, a framework for creating, evaluating, and connecting modular AI skills that can be composed into complex agent capabilities.
AI Agents
AI Agents
AI Agent Protocols: Building Blocks of the Agentic Web
Four emerging protocols—MCP, A2A, ACP, and ANP—are defining how AI agents communicate, share context, and collaborate. Here's what each does and why it matters.
Digital Authenticity
AI Agents Can Now Unmask Anonymous Online Accounts
New research reveals AI agents can identify anonymous accounts by analyzing writing patterns, behavioral data, and cross-platform activity, raising major privacy and authenticity concerns.
AI Agents
Building Persistent AI Agents with Hierarchical Memory Systems
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
Formal Behavioral Contracts: Ensuring AI Agent Reliability
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
SlotBot: Building AI Agents That Impersonate Business Owners
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
New Framework Certifies AI Agent Reliability Without Model Access
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 AI Agent Startup Vercept Amid Talent War
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
5 Essential Metrics for Evaluating AI Agent Performance
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
MIRA: Combining Memory Systems with RL for Smarter 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
2025 AI Agent Index: Mapping Safety Features Across Deployed Syst
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: Open Source Recursive AI Agent for Surveillance
OpenPlanter brings Palantir-style recursive AI agent capabilities to the open-source community, enabling micro surveillance use cases with transparent, auditable AI systems.