Meta released Muse, a personal agent that runs inside a dedicated Secure VM with a host-side control component called Sentinel that independently evaluates connector policies and network requests, acc…
LLM-as-judge architectures are shifting from offline evaluation into agent runtime control flow, letting applications make judgment calls on AI-generated work as it happens, according to a technical a…
Seven distinct architectural patterns are emerging for "multiplayer AI" that lets humans and agents collaborate, according to an analysis of current products from Anthropic, Microsoft, Dust, Asana, Li…
Data platforms including Snowflake, Databricks, ClickHouse, BigQuery, MotherDuck, and Redshift are embedding model inference and agents directly into query execution, according to an analysis of AI ar…
AI builders are constructing increasingly elaborate architecture around model limitations — scarce context, expensive inference, agent memory loss, and unreliable tool use — that may prove temporary a…
Agent memory providers including Mem0, Zep, Letta, LangMem, Amazon Bedrock AgentCore Memory, Redis, Supermemory, and Cognee are converging on a common architecture that moves memory outside individual…
AI-generated work such as recommendations, decisions, risks, and plans should be stored as typed, structured artifacts with explicit relationships and provenance rather than repeatedly flattened into …
AI builders should apply the schemas, lineage, access controls, versions, and quality checks used for traditional data to the context fed into AI systems, according to a blog post on The Wire. The pos…
A large share of perceived frontier AI gains come from systems engineering around inference rather than from better model training, according to a blog post on The Wire. The post notes that OpenAI, An…
A new integration pattern called 'code mode' over the Model Context Protocol (MCP) is emerging, where agents execute small programs via a single MCP tool instead of making many individual tool calls. …
Satya Nadella's viral post linking human capital and token capital through a learning loop has sparked discussion on long-horizon AI strategy. The author warns against implementing a "company brain" a…
ThruWire has launched a multiplayer harness designed to unify human and AI agents as collaborative teammates on evolving work. The platform uses a graph-based notebook structure where changes propagat…