Showing 5 open source projects for "state-thread"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 1
    xiaohongshu-mcp

    xiaohongshu-mcp

    MCP for xiaohongshu.com

    xiaohongshu-mcp is a Model Context Protocol (MCP) server that equips AI assistants with first-class tools for working on Xiaohongshu (Little Red Book), focusing on day-to-day creator and operator workflows rather than generic browsing. The project centers on authenticated actions and data access that matter to content operations, such as checking login state, publishing or scheduling content, fetching recommendations and search results, reading post details, and acting on comments. It’s packaged so MCP-capable clients (e.g., Claude Desktop, Cursor) can discover its tools via schemas instead of prompt guesswork, which improves reliability and reduces brittle automation. The repo highlights a growing community and provides links to a hosted landing page, signaling that the server is intended for practical use beyond a proof of concept. ...
    Downloads: 54 This Week
    Last Update:
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  • 2
    Lemonade

    Lemonade

    Lemonade helps users run local LLMs with the highest performance

    Lemonade is a local LLM runtime that aims to deliver the highest possible performance on your own hardware by auto-configuring state-of-the-art inference engines for both NPUs and GPUs. The project positions itself as a “local LLM server” you can run on laptops and workstations, abstracting away backend differences while giving you a single place to serve and manage models. Its README emphasizes real-world adoption across startups, research groups, and large companies, signaling a focus on practical deployments rather than toy demos. ...
    Downloads: 20 This Week
    Last Update:
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  • 3
    Chrome DevTools MCP

    Chrome DevTools MCP

    Chrome DevTools for coding agents

    chrome-devtools-mcp is an MCP server that connects AI agents to the Chrome DevTools Protocol so they can inspect pages, record traces, read console/network data, and modify the live browser state under user control. It makes a running Chrome instance visible to MCP clients, enabling agents to debug websites end-to-end—launching Chrome, navigating, profiling, and collecting artifacts in a structured way. The repository spells out environment requirements and cautions that exposing a live browser to agents grants powerful access, so sensitive data should be handled carefully. ...
    Downloads: 7 This Week
    Last Update:
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  • 4
    Xiyan MCP Server

    Xiyan MCP Server

    A Model Context Protocol (MCP) server

    The XiYan MCP Server is a Model Context Protocol (MCP) server that enables natural language queries to databases, powered by XiYan-SQL, a state-of-the-art text-to-SQL model. It allows users to interact with databases using conversational language, simplifying data retrieval processes. ​
    Downloads: 0 This Week
    Last Update:
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 5
    aictx

    aictx

    Repo-local continuity runtime for AI coding agents. Helps them continu

    AICTX helps Codex, Claude, GitHub Copilot and other coding agents continue work across sessions by preserving the last useful execution state: active work, next actions, decisions, failures, validation evidence and repo context. The continuity idea is not to add more hidden memory or dump more context into the prompt. AICTX keeps operational continuity inside the repo: - active Work State and next action; - execution summaries and handoffs; - explicit decisions; - known failures and resolved failure patterns; - strategy hints from successful prior work; - execution contracts and contract-compliance signals; - optional RepoMap structural entry points; - continuity quality signals for stale, missing, demoted, obsolete, or unverified context; - read-only Task Context Packs for focused task-specific context; - lifecycle diagnostics for incomplete or unfinalized sessions; - optional Git-portable continuity for small teams. ...
    Downloads: 0 This Week
    Last Update:
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