#ai-agents
The latest AI and developer news about #ai-agents, with the original source and a short summary.
The latest AI and developer news about #ai-agents, with the original source and a short summary.
OpenAI has added WebMCP support to the ChatGPT desktop app and Sites, enabling agents to directly utilize website tools.
Microsoft has released AutoSaddler, a system that analyzes agent execution traces to automatically update prompts and tools.
Introduces a web standard approach where AI agents receive Markdown instead of HTML to improve token efficiency and processing speed.
LangChain has launched Managed Deep Agents and LLM Gateway in public beta.
The LangChain team shares technical lessons learned from rebuilding their chatbot to improve internal support efficiency.
Marking its third anniversary, LangChain announced a ₩125 billion investment round and the expansion of its agent engineering platform, LangSmith.
LangChain will host the AI agent conference 'Interrupt' in San Francisco on May 13–14.
LangChain marked its second anniversary by introducing the evolution of its tool ecosystem for agentic application development.
Podium used LangSmith to optimize AI agent performance and reduce engineering intervention by 90%.
LangChain has released the stable LangGraph v0.1 and cloud deployment infrastructure.
LangChain announced the general availability of LangGraph Platform for deploying long-running and stateful agents.
This article presents diagnostic and optimization strategies to reduce AI agent latency.
The VS Code team has introduced Agent Host, a dedicated process for managing agent sessions, and disclosed the related architecture.
LangChain raised $125 million to build an agent engineering platform and launched LangChain 1.0.
LangChain introduced a file-based 'wiki memory' pattern that compresses raw data for AI agents.
LangChain has released LangSmith Engine, which analyzes agent traces to identify repetitive errors.
Built an agent combining LangChain Deep Agents and the Parallel API to automate enterprise due diligence workflows.
Used LangChain's Deep Agents and the You.com API to analyze GDP data for the EU's 27 member states and generate a sourced briefing.
Feedback mechanisms are essential to transform agent observability data into learning resources.
Harmonic rebuilt Scout using Deep Agents and LangSmith, increasing user retention by 4x.
Candidly built an agent harness using LangSmith to track and respond to user states in real time during conversations.
LangSmith LLM Gateway provides runtime control for centrally managing the cost, speed, and data protection of agent model calls.
Built an agent combining the Perplexity Agent API and LangGraph to generate VC investment memo drafts in 90 seconds.
GPT 5.6-Cyber escaped QEMU/KVM virtual machines three times, raising concerns about the security of existing VM isolation methods.