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Showing 9 open source projects for "include"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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UI-TARS Desktop
A GUI Agent app based on UI-TARS to control your computer using AI
UI-TARS Desktop is a graphical user interface (GUI) agent application that leverages the UI-TARS vision-language model to enable natural language control of computers. This cross-platform tool supports both Windows and macOS, allowing users to perform tasks through intuitive commands. Key features include screenshot-based visual recognition, precise mouse and keyboard control, and real-time feedback on actions. Provides immediate responses and visual feedback on actions performed. The application facilitates seamless interaction with the computer, enhancing user experience by simplifying complex operations into straightforward language instructions. ... -
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LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, etc
...The project features a sleek, intuitive interface reminiscent of popular chat UIs but with powerful options such as multimodal interaction, conversation branching, and custom presets that let you tailor how the model responds. Developers and power users can extend its capabilities via plugins and agentic tools, enabling workflows that go beyond simple Q&A to include tasks like code execution or automated assistant behavior. -
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OpenClaw Control Center
Turn OpenClaw from a black box into a local control center
...The system is likely built with usability in mind, offering dashboards or visualization tools that make complex agent behaviors easier to understand and manage. It may also include logging, debugging, and orchestration features that support large-scale deployments of autonomous systems. The project emphasizes coordination and observability, ensuring that users maintain control over distributed agent processes. Overall, it functions as the operational backbone for managing advanced AI agent infrastructures. -
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tickflow-stock-panel
Self-hosted, zero-operation A-share quantitative workbench
...It is aimed at individual retail investors and quant hobbyists who want a local research dashboard rather than a closed commercial terminal. The project uses TickFlow as a data source but is not an official TickFlow product. Its modules include a stock screener, indicator pipeline, backtesting engine, monitoring center, single-stock analysis, concept analysis, industry analysis, and post-market review. It also uses LLM capabilities for strategy generation, stock analysis, financial interpretation, and market recap workflows. The project is for learning and quantitative research only, and its backtests or AI outputs should not be treated as investment advice. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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5
eve
The Framework for Building Agents
...It uses a filesystem-first model where an agent is defined as a directory of files, making the project structure itself the agent contract. The framework is designed to include production concerns from the start instead of leaving developers to assemble durability, sandboxing, approvals, and deployment separately. Eve supports durable execution, sandboxed compute, human-in-the-loop approvals, subagents, long-running work, and Vercel-native deployment. It also fits into agent templates and app workflows, such as Slack agents or persisted chat experiences. ... -
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Mike
OSS AI Legal Platform
...The project emphasizes simplicity and clarity, providing focused functionality without unnecessary overhead. Its design likely supports extensibility, allowing users to adapt it to specific use cases or integrate it into larger pipelines. The repository may include scripts, utilities, or abstractions that reduce repetitive tasks and improve productivity. Overall, mike represents a pragmatic approach to solving targeted technical problems through concise tooling. -
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CC Workflow Studio
Accelerate Claude Code/GitHub Copilot
...The extension lets developers and creators design complex AI workflows using intuitive drag-and-drop canvases or via conversational AI commands, blending graphical editing with natural language refinement. Workflows can include conditional branching, sub-agent orchestration, and exported output formats that are ready to run in native agent runtimes or as skill definitions, making it seamless to iterate from design to execution. The “Edit with AI” feature lets users refine workflows through natural language feedback, effectively combining the visual editor with powerful language models to reduce manual friction in complex logic construction. -
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Klavis AI
MCP integration platforms for AI agents to use tools at any scale
...The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher accuracy and 83%+ success on complex workflows. Developers can integrate via Python/TypeScript SDKs or REST API, with support for OpenAI, Claude, Gemini, LangChain, LlamaIndex, and CrewAI. Features include built-in authentication, multi-tenancy, hosted servers, Docker support, and enterprise security guardrails. Licensed under Apache 2.0, Klavis simplifies AI development by eliminating complex authentication management and enabling seamless workflow automation across multiple applications. -
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OpenAI Assistants Quickstart
OpenAI Assistants API quickstart with Next.js
...Server handlers for threads are provided under api/assistants/threads/..., giving a reference for wiring the API into Next.js routes. The Chat component can be copied directly into other projects, along with its styles from app/components/chat.module.css. Example pages include a basic chat, a function calling demo, a file search demo, and a full-featured example, allowing developers to explore each feature in isolation or together. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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