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Search results for “Open Source AI”

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300 results for “Open Source AI”

  1. Muse Code brings Meta’s coding agent into the terminal

    #Muse Code#Meta AI#AI Coding

    path is simple: run a shell script from dev.meta.ai. In practice, that means the first trial belongs in an isolated development environment, not directly in a production repository. The agent is paired with Muse Spark

  2. Perplexity brings Personal Computer to Windows

    #Perplexity#Personal Computer#Desktop Agents

    and connecting workflows across local data and online sources. Perplexity had previously said that Personal Computer for Windows runs on the user's machine and orchestrates the apps and files they use. The important

  3. The Philippines brings AI agents into public services

    #AI#Public Sector AI#Philippines

    software licensing story. It covers three concrete areas: AI-supported public services, shared cyber defense for government agencies, and better connectivity through subsea cables and government-managed networks. The

  4. UK tests AI assistants against the Crown Court backlog

    #AI Law#UK Justice#Crown Court

    announced on June 9, 2026 that it will develop and test AI assistants for the Crown Court. The tools are meant to support legal professionals and court staff with routine tasks, including research, case analysis and

  5. Firecrawl Browser Sandbox gives agents a safe browser

    #Firecrawl#Browser Sandbox#Browser Automation

    from Firecrawl that provides managed browser sessions for AI agents. It targets developers who need web data not just from a static URL, but through forms, click paths, pagination or login states. Firecrawl introduced

  6. MongoDB gives AI agents persistent long-term memory

    #MongoDB#AI Agents#LangGraph

    platform at its own conference, MongoDB Local London. The aim is to help enterprises move AI agents from one-off pilots into sustained production. The centerpieces are a generally available Long-Term Memory Store for

  7. AnythingLLM makes private AI workspaces practical

    #AnythingLLM#Private AI#RAG

    upload documents into random consumer tools, or IT blocks AI completely. AnythingLLM offers a third path: start locally or self-hosted, connect models under control, and test knowledge workflows in a practical way. What

  8. Gated DeltaNet-2 separates remembering and overwriting in AI models

    #Linear Attention#NVIDIA Research#AI Models

    tasks with multiple keys to retrieve. Why it matters Many AI use cases fail not because a model understands nothing, but because long contexts become expensive, slow, or fragile. Anyone analyzing a large repository,

  9. Microsoft Intelligent Terminal brings agents into the shell

    #Microsoft#Intelligent Terminal#Developer Tools

    place where suggestions are manually executed. The GitHub source names Windows 10 2004 or later as a requirement and clearly states that data flows depend on the selected agent. That matters: Intelligent Terminal itself

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