Agentic Design Digest

AI agents relying on long-term memory face severe risks from GhostWriter attacks that inject false memories with ~98% injection success, directly...

CRISPR-GPT moves beyond assistance: its multi-agent architecture now encodes the full logic of gene-editing design as state machines that junior...

Agentic RAG and Harness Evaluation Research

• 🔥 GRASP: GRanularity-Aware Search Policy for Agentic RAG: Paper introduces RL-based...

This hands-on AWS workshop cuts through prototype hype to focus on real production needs: deployment, observability, governance, and policy...

GRASP tackles the core agentic RAG challenge of deciding when and how to retrieve by training policies that coordinate multiple tools dynamically.

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Alibaba's new Agent Native Cloud introduces AgentTeams for orchestrating specialized agents, paired with secure sandboxed execution and elastic...

Google's Gemini Enterprise Agent Platform presents a reference architecture for production agent governance built on three patterns:

• Agent Registry...

Current harness evolution protocols for LLM agents conflate iterative search gains with genuine design improvements and risk benchmark overfitting by...

Traditional SDLC stages prioritize stability through fixed, sequential handoffs but clash with AI's rapid iteration and parallel execution. The...

Security Architecture Patterns

• 🔥 The Token Vaulting Pattern: Introduces OAuth token exchange with least privilege to give users fine-grained...

Enterprise multi-agent orchestration replaces single LLMs with specialized AI teams that collaborate on complex workflows.

• Core Pattern: Dedicated...

Synthesizing readiness checklists, financial services ROI examples, and 2026 enterprise research reveals how organizations can move from pilots to...

• Native MCP standardizes tool discovery and invocation for quick agent connections but leaves agents with high-privilege tokens and limited user...

Multimodal agents move beyond text-only limits by unifying perception, reasoning, and action in one flow.

• Perception layer ingests text, images,...

Custom agent harnesses deliver outsized gains by turning base LLMs into specialized systems.

• Schema harness saturates ARC-AGI-3 by enabling...

Agentic AI security challenges demand a fundamental mindset shift: security models built on predictability fail against adaptive agents, so...

New Multi-Agent Frameworks

• 🔥 SearchOS-V1: Introduces a multi-agent framework using SOCM state management, Failure Memory, and pipeline-parallel...

SearchOS-V1 tackles a core production issue in multi-agent retrieval: agents losing task context and repeating failed searches as histories grow. It...

A clear trend emerges across recent reports: enterprises grant agents rising autonomy while trust in the evaluations meant to govern them remains...

• MCP serves as the agent's "hands and eyes" for tool and data access in a client-server model, while A2A acts as the "mouth" for peer-to-peer...