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Agent Zero v2.10 is out. → Stealthy Browser: Gmail, socials, and sites that flagged A0 as a bot now work. Sign in once and share or isolate tabs per session → @ tagging for profiles, files, folders, skills, and MCPs → CLI speaks ACP for external editors

78,579 次观看 • 15 天前 •via X (Twitter)

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New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 次观看 • 1 年前

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 次观看 • 7 个月前

So I’ve been using grok Grok Bot for a few days. It’s starting to click Bro they leapfrogged codex app and Claude code entirely. Super app 2.0 Grok bot’s marketing is completely wrong and misleading. It’s not an easy normie friendly chat. Don’t pay attention to the bot or chat UX, that’s not the point. Total distraction. Logo is flat out wrong. They legit did the Shoggoth meme with a smiley face mask in front of an AI demon. Grok bots is actually the highest difficulty, most powerful, and highest skillcap agent harness by far. Super rough around the edges. Dev tool, power user quality, nowhere remotely close to consumer level of approachability. Which is fine, they chose a lane, VSCode dev heavy design sensibilities bleed through, and to be fair it’s in beta. But importantly they nailed a new agent stepping stone: Persistent agent driven cloud computers Progression: - Chat - Chat + Tools, Calculate & Code Interpreter, MCPs - Claude Code & Coding Agent Harnesses: Chat + Tools + Read/Write local Files + Local CLI - Codex/Conductor Super App: Agent Harness + vertical tabs + embedded browser + computer use - Grok Bots: Agent Harness + Computer use + Browser Use + Entire cloud computer with all your files and apps, saved Grok bots absolutely mogs ChatGPT work, and the codex super app + ChatGPT remote. UX of having the cloud computer instance be persistent and not ephemeral per thread is 10000x better. Also you can actually open the computer from your phone and click and type and look at things. It’s not some black box only the agent sees. These were the 2 missing pieces This pattern is about to get copied and adopted by everyone.

Nick Dobos

459,392 次观看 • 20 天前