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Search results for “AI Agents”

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359 results for “AI Agents”

  1. Arcade gives AI agents controlled rights to real tools

    #Arcade.dev#AI Agents#MCP

    The product focuses on a practical question: what is an AI agent allowed to do when it accesses real systems on behalf of a person? On June 15, 2026, the Wall Street Journal reported that Arcade had raised 60 million

  2. DBX connects database work to AI agents with clear permissions

    #DBX#Database Tools#MCP

    driver list. DBX connects existing database connections to AI clients such as coding agents and separates three access levels: read only, data read/write, and full access. This turns a traditional database interface into

  3. Parallel builds web search for agents, not clicks

    #Parallel#AI Search#Research Tools

    Parallel builds web search and research infrastructure for AI agents. The core idea is not a search engine for humans, but an API layer that gives agents current web information, structured results, and source

  4. AWS Rex limits what AI agents may touch on servers

    #AI Security#AWS#Open Source

    before it runs. That may sound dry, but it matters for AI agents. When an agent writes a script at runtime, there is often no classic code review. That is where dangerous cases appear: an agent is supposed to read logs,

  5. Poke Brings AI Agents Into Apple Business Messages

    #Poke#Apple Messages#AI Agents

    that the service was approved as the first standalone AI agent for this Apple channel. Poke itself now promotes an Apple Messages experience on its website with verified chats and rich actions. That sounds smaller than a

  6. Browser Use makes web automation tangible for agents

    #Browser Use#Browser Automation#AI Agents

    this is about Browser Use is an open-source tool that lets AI agents not only read websites, but operate them in a browser. The project provides a Python library, a CLI, and a cloud service. According to its GitHub

  7. Muse Glimmer brings a 30B AI agent to local computers

    #Meta AI#Muse Glimmer#Open Weights

    under the Apache 2.0 license. It is designed for local AI agents that call tools, work with code, and process both images and text. Meta says a quantized version fits in under 20 GB. That does not target ordinary office

  8. Pipelock puts a firewall between agents and the internet

    #Pipelock#AI Security#MCP Security

    for a very practical agent problem: what happens when an AI agent does not just write text, but triggers real network requests, MCP tool calls, or WebSocket communication? The project positions itself as an agent

  9. goose makes the AI agent local and extensible

    #goose#AI Agents#Open Source AI

    and other tasks. The project is now part of the Agentic AI Foundation at the Linux Foundation, which makes it relevant for teams that do not want agents to exist only as a closed SaaS feature. For users, the important

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