Why managed agents are the next big thing in agent building
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth. Context & related coverage →
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claude-agent-sdk-python v0.2.137
ConversationResetMessage for conversation reset events : The SDK now surfaces the CLI's conversation_reset frame as a ConversationResetMessage dataclass, let... · Message origin on UserMessage and ResultMessage : New... Context & related coverage →
DLLM: Minimal, clean coding agent built directly on llama.cpp without overhead
Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents
When a tool-using agent is given the same task in a different language, does it still take the same steps? Multilingual evaluation rarely asks: it compares final answers and discards the actions. Yet those actions are... Context & related coverage →
How to Monitor AI Agents in Production
Production monitoring for LLM agents requires new observability tools. Learn how to trace, evaluate, and improve AI agents at scale. Context & related coverage →
DeepSeek Targets Agentic Coding Market With New Team - PYMNTS.com
DeepSeek Targets Agentic Coding Market With New Team PYMNTS.com Context & related coverage →
MCP Goes Stateless, and Developers Ask Whether That Just Makes It an API Again
The MCP 2026-07-28 specification removes the initialize handshake and session header, and adds required method and tool-name headers so gateways can route agent traffic without parsing JSON. Reaction split between dev... Context & related coverage →
claude-code v2.1.229
Documented claude remote-control --continue for resuming the most recent Remote Control session · Added server-supplied Claude Code hook support for self-hosted runner sessions, matching managed-environment behavior ·... Context & related coverage →
Benchmarking Time Series Generation Methods for Privacy-Preserving Forecasting
Time series forecasting in privacy-sensitive domains often requires training models on released data rather than original observations. Synthetic time series generation has been developed primarily for data augmentati... Context & related coverage →
Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person forgot, is confused, has side effects,... Context & related coverage →
Quoting Florian Herrengt
But then users start to report a weird bug. It's the 4th time your team has been trying to fix it. I mean... asking AI to fix it. Unfortunately, it seems like not even Fable can figure it out. You go talk to the perso... Context & related coverage →