Skip to content

AI Dynamics

Global AI News Aggregator

Rechercher

AGENTS

RemoteGraph for deployment interaction with agents via A2A and MCP

By

@langchain

–

17 June 2026 18h02

✅ RemoteGraph for deployment ↔ deployment interaction

✅A2A Protocol support out of the box

✅ Interact with your agent via MCP Protocol@VictorMoreira16 on Agent Interoperability in Managed Deep Agentshttps://t.co/wiQVO5luru pic.twitter.com/z8Gwco88Ar
— LangChain (@LangChain) 17 juin 2026

RemoteGraph for interaction deployment deployment A2A protocol support out of the box Interact with your agent via the MCP protocol @VictorMoreira16 on agent interoperability in managed deep agents https://
langchain.com/blog/introduci
ng-managed-deep-agents
…

→ View original post on X — @langchain

17 June 2026
Agent Bricks helps developers build agents, not infrastructure

By

@databricks

–

17 June 2026 17h55

“Team are stuck building infrastructure, not agents.” @kuhlenhuth
, Director of PM at Databricks, walks through how Agent Bricks helps developers get unstuck so they can focus on building thousands of agents.

→ View original post on X — @databricks

17 June 2026
Agent Bricks evolves into comprehensive agent platform

By

@databricks

–

17 June 2026 17h53

We are excited to announce the next evolution of Agent Bricks as our agent platform. Agent Bricks has expanded into a comprehensive platform for building agents with any model and any harness, accessing data anywhere, and confidently deploying and controlling agents in

→ View original post on X — @databricks

17 June 2026
Databricks Co-Founder Demos Omnigent Open Meta-Harness for AI Agents

By

@databricks

–

17 June 2026 17h47

Databricks co-founder and CTO @matei_zaharia demos Omnigent, a meta-harness to combine, control, and share your agents. “AI needs a layer to work above the harness and the meta harness layer will benefit from being open.”

→ View original post on X — @databricks

17 June 2026
Presentation of arXiv paper replications by auto-research agents

By

@askalphaxiv

–

17 June 2026 17h40

Introducing paper replications for arXiv

Research codebases are notoriously hard to set up

We deploy autoresearch agents to ingest popular arXiv repos, resolve setup issues, and get the core claim running. You can now sort papers by ease of implementation 🚀 pic.twitter.com/Zw6DkX4ycq
— alphaXiv (@askalphaxiv) 17 juin 2026

Presentation of paper replications for arXiv Research codebases are notoriously difficult to set up We deploy auto-research agents to ingest popular arXiv repositories, resolve configuration issues and make the

→ View original post on X — @askalphaxiv

17 June 2026
Grok 4.3 Now Available on Amazon Bedrock

By

@xai

–

17 June 2026 17h10

Grok is now available on Amazon Bedrock. AWS developers can now build with Grok 4.3, the industry leader in hallucination rate and tool calling, powered by Bedrock’s secure inference engine.

→ View original post on X — @xai

17 June 2026
Improving agents: manual review and LangSmith Engine

By

@langchain

–

17 June 2026 17h02

Agent improvement often starts with a manual review process: digging into production traces, identifying recurring failure patterns, comparing executions, and deciding what to fix first. On June 24, discover how LangSmith Engine helps

→ View original post on X — @langchain

17 June 2026
NVIDIA Achieves Leading Agentic Coding Performance on AI

By

@gp_pulipaka

–

17 June 2026 17h00

NVIDIA Achieves Leading Agentic Coding Performance on Agentic AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming

→ View original post on X — @gp_pulipaka

17 June 2026
Humanoid robots move from demos to deployment with Physical AI

By

@bernardmarr

–

17 June 2026 16h12

Humanoid robots are moving from demos to deployment, and Physical AI is the reason.

Physical AI brings together perception, real-time learning, and embodied action, so robots can navigate human spaces, adapt to changing environments, and work safely alongside people.

In this… pic.twitter.com/48jA6OrxKU
— Bernard Marr (@BernardMarr) 17 juin 2026

Humanoid robots are moving from demos to deployment, and Physical AI is the reason. Physical AI brings together perception, real-time learning, and embodied action, so robots can navigate human spaces, adapt to changing environments, and work safely alongside people. In this

→ View original post on X — @bernardmarr

17 June 2026
LangSmith LLM Gateway unifies detection, investigation, and remediation

By

@langchain

–

17 June 2026 16h02

With LangSmith LLM Gateway, detection, investigation, and remediation take place on the same surface where agents are built.
Fewer tools
Fewer context switches
Policy events that arrive alongside the trace data that accompany them

→ View original post on X — @langchain

17 June 2026

←Previous Page

1 … 47 48 49 50 51 … 1,764

INNOVATION GENERATIVE AI RESEARCH LLMS TOOLS MACHINE LEARNING CODE MARKET TRENDS TECHNOLOGY BUSINESS BIG TECH ETHICS ENTERPRISE AI SOFTWARE AGENTS AUTOMATION APPS COMPUTING DATA POLICY OPEN SOURCE MULTIMODAL AI REGULATION CULTURE CREATIVE AI PROMPT ENGINEERING SOCIETY ECONOMY SAFETY EDUCATION INVESTMENT AI HARDWARE AGI HARDWARE JOBS STARTUPS INDUSTRY ROBOTICS WORKFORCE SECURITY CYBERSECURITY HEALTHCARE AI SYSTEMS SUSTAINABILITY WEB3 DECENTRALIZED AI

AI Dynamics

Global AI News Aggregator

About
Archives
Contact

Rechercher