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MCP and tool use
All topicsHow models connect to the outside world: the MCP ecosystem, function calling and tool integrations.
31selectedRelated topicsAI agentsAI codingOpen source
Latest selected
1–20 of 31Nov 6
Nov 4
Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?
An IBM team compared CUGA, Hermes and Deep Agents on 90 AppWorld tasks using the same open-weight model, GLM-5.3-flash. Task pass rates were 81.1%, 46.7% and 30.0%, and full-scenario pass rates were 66.7%, 26.7% and 6.7%.
Oct 29
Google opens Android development to third-party AI agents and unveils new Gemini APIs
Google is opening up Android Studio to third-party AI agents. Through a new "Bring Your Own Agent" feature, the IDE now supports more than 40 coding agents, including Anthropic's Claude Agent and OpenAI's Codex. Google says new terminal tools also help agents finish UI tasks 77 percent faster while using up to three times fewer tokens.
Oct 21
Voxtral 3
Voxtral 3: Mistral's voice agent SDK for real-time speech in 50+ languages, accurate transcription, emotional TTS, deep tool use.
Oct 17
ChatGPT becomes a full Chrome browser assistant that reads and acts on your open tabs
OpenAI's updated Chrome extension lets ChatGPT access open browser tabs, sum up content, and use "Computer Use" in Work mode to fill out forms or compare products across several tabs. It is open to all ChatGPT plans.
Oct 15
Trust in Depth: Giving agents more autonomy without losing control
Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their own when their actions can be verified, reserving human judgment for the decisions that need it.
Putting Earth AI to work: Geospatial agents for our planet's biggest challenges
When we introduced Google Earth AI, we shared a suite of geospatial foundation models — spanning remote sensing, weather, flood hydrology, and population dynamics — alongside an initial prototype showing how a Gemini-powered agent could connect those models to answer cross-modal questions.
Oct 14
Build long-horizon agents with Grok 4.7 on Amazon Bedrock
Grok 4.7 is now available on Amazon Bedrock. In this post, we build a tool-calling agent on Grok 4.7 and evaluate it on three reasoning tasks at four reasoning effort levels, measuring correctness and token cost per completed task. We show how to tune the trade-off per request and monitor it in production.
Oct 13
All Systems Go: Global PC App Ecosystem Ready for NVIDIA RTX Spark
NVIDIA RTX Spark is a new beginning for the PC — a reinvention combining the capabilities of a gaming PC, a creative studio and a personal AI supercomputer into a single superchip.
Oct 9
Google brings agentic AI to Gemini, starting with businesses
Google is turning Gemini into an AI agent that can plan, execute tasks, and work across business apps and systems. The agent can delegate work to subagents, use multiple AI models, and even gets its own workplace identity, complete with an email address.
Oct 4
The Agent Said It Was Done. The Database Disagreed.
Microsoft ThinkingBox grades AI agents on the records they leave behind, not the sentences they generate, and then asks whether they can do it twenty times in a row. It is now available through Hugging Face.
Sep 30
Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances
Amazon Bedrock AgentCore Runtime Instances gives multi-agent workflows AWS managed EC2 infrastructure with GPUs, persistent volumes, and multi-day sessions. In this post, we deploy a three-agent music production pipeline where the agents colocate on one GPU instance, share a filesystem, and hand work to each other to produce a finished track.
OpenAI’s latest features take direct aim at the app store model
OpenAI is building out the pieces of an alternative to the traditional app store model, turning ChatGPT into a place where software can be discovered and used by people and AI agents alike.
OpenAI's reveals a new ChatGPT that looks less like a chatbot and more like an operating system
At DevDay, OpenAI announced a wave of updates that push ChatGPT well beyond its chatbot roots. The company is adding shared workspaces, collaborative documents and slides, an open plugin system with MCP event automation, Slack and Microsoft Teams integrations, an enterprise marketplace with 32 partners, and a new Pro 500 pricing tier.
OpenAI launches always-on Dots agents to rival Meta's Muse
OpenAI's new Dots are always-on agents that run on their own cloud computers, where they fix bugs or send out forgotten invoices, sometimes before anyone asks. Users can reach them through ChatGPT, Slack, and Microsoft Teams. When no one is working with them, Dots look for ways to help in the background using read-only access.
Sep 25
AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework.
Sep 10
Rebuilding AUTOMATIC1111 with Gradio Workflow
The Hugging Face team rebuilt most AUTOMATIC1111 functionality as the Workflow1111 canvas using Gradio Workflow. Its 11 media pipelines and 73 nodes cover text-to-image, high-resolution fixes, image-to-image, prompt matrices, VLM reverse prompting, detection-generated inpainting masks, ControlNet-style annotators, background removal, PNG Info and image-to-video.
Introducing the Agents API
Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
Sep 3
Give Your Coding Agents a Memory You Own
Hugging Face released funes, an open-source persistent memory layer for Claude Code, Codex, pi, Hermes and other coding agents. It indexes existing local sessions and performs embedding and reranking locally by default.
Aug 25
Wire It, Run It, Deploy It: AI Workflows in Gradio
Hugging Face introduced gr.Workflow in Gradio to describe multi-step AI pipelines as graphs of typed nodes. Gradio provides a draggable canvas where each node can run and every intermediate result is visible.