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Browse free and open source software that runs on Windows. Find open-source alternatives, compare features, platforms and pricing, and pick the right Windows tool for you.

twenty logo
twenty is a free, open-source alternative to Salesforce . The #1 Open-Source CRM Website · Documentation · Roadmap · Discord · Figma Why Twenty Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack. Learn more about why we built Twenty Installation Cloud The fastest way to get started. Sign up at twenty.com and spin up a workspace in under a minute, with no infrastructure to manage and always up to date. Build an app Scaffold a new app with the Twenty CLI: npx create-twenty-app my-app Define objects, fields, and views as code: import { defineObject , FieldType } from 'twenty-sdk/define' ; export default defineObject ( { nameSingular : 'deal' , namePlural : 'deals' , labelSingular : 'Deal' , labelPlural : 'Deals' , fields : [ { name : 'name' , label : 'Name' , type : FieldType . TEXT } , { name : 'amount' , label : 'Amount' , type : FieldType . CURRENCY } , { name : 'closeDate' , label : 'Close Date' , type : FieldType . DATE_TIME } , ] , } ) ; Then ship it to your workspace: npx twenty app:publish --private See the app development guide for objects, views, agents, and logic functions. Self-hosting Run Twenty on your own infrastructure with Docker Compose , or contribute locally via the local setup guide . Everything you need Twenty gives you the building blocks of a modern CRM (objects, views, workflows, and agents) and lets you extend them as code. Here's a tour of what's in the box. Want to go deeper? Read the User Guide for product walkthroughs, or the Documentation for developer reference. Learn more about apps in doc Learn more about version control in doc Learn more about primitives in doc Learn more about layouts in doc Learn more about AI in doc Learn more about CRM features in doc Stack TypeScript Nx NestJS , with BullMQ , PostgreSQL , Redis React , with Jotai , Linaria and Lingui Thanks Thanks to these amazing services that we use and recommend for code review (Greptile), catching bugs (Sentry) and translating (Crowdin). Join the Community Star the repo · Discord · Feature requests · Releases · X · LinkedIn · Crowdin · Contribute
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Linkedin Pinpoint Answer logo
Linkedin Pinpoint Answer: Your All-in-One Companion for LinkedIn Brain Games Introduction If you enjoy daily brain challenges on LinkedIn, you may already know games like Pinpoint, Queen, Crossclimb, Tango, Zip, Mini Sudoku, and Patches. These puzzles test logic, pattern recognition, and problem-solving in fun but sometimes difficult ways. That’s where Linkedin Pinpoint Answer comes in. We are an all-in-one companion for solving and mastering LinkedIn puzzle games. Whether you're stuck, trying to keep your streak, or want to understand the logic behind answers, our platform provides instant solutions, clear explanations, and useful strategies across multiple games in one place. Main Features 1. Instant Answers Get fast and accurate solutions for Pinpoint, Queen, Crossclimb, Tango, Zip, Mini Sudoku, and Patches as soon as new puzzles are released. 2. Streak Protection Avoid losing progress. Timely updates help you maintain daily streaks across all LinkedIn puzzle games. 3. Daily Updates Always synced with LinkedIn’s puzzle schedule, offering the latest answers and breakdowns as soon as they go live. 4. Clear Explanations We don’t just give answers—we explain them. Learn solving logic and improve your puzzle skills over time. 5. Multi-Game Hub Play and learn multiple LinkedIn games in one place, from word puzzles to logic and number challenges. 6. Strategy Insights Discover patterns, traps, and solving methods to improve your long-term performance across all games. Conclusion LinkedIn puzzle games are becoming more diverse and challenging, from Pinpoint to Mini Sudoku and beyond. Linkedin Pinpoint Answer supports the full experience—providing answers when needed, explanations when useful, and strategies to help you improve. Whether you're stuck or want to stay ahead, this is your all-in-one hub for LinkedIn puzzle games.
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langgraph logo
langgraph is a free, open-source software / service you can self-host or use without paying. Low-level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. pip install -U langgraph Tip If you're looking to quickly build agents, check out Deep Agents — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs . Why use LangGraph? LangGraph provides low-level supporting infrastructure for any long-running, stateful workflow or agent: Durable execution — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off. Human-in-the-loop — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution. Comprehensive memory — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions. Debugging with LangSmith — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics. Production-ready deployment — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows. Tip For developing, debugging, and deploying AI agents and LLM applications, see LangSmith . LangGraph ecosystem While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with: Deep Agents – Build agents that can plan, use subagents, and leverage file systems for complex tasks. LangChain – Provides integrations and composable components to streamline LLM application development. LangSmith – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time. LangSmith Deployment – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in LangSmith Studio . Documentation docs.langchain.com – Comprehensive documentation, including conceptual overviews and guides reference.langchain.com/python/langgraph – API reference docs for LangGraph packages LangGraph Quickstart – Get started building with LangGraph Chat LangChain – Chat with the LangChain documentation and get answers to your questions Discussions : Visit the LangChain Forum to connect with the community and share all of your technical questions, ideas, and feedback. Additional resources Guides – Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.). LangChain Academy – Learn the basics of LangGraph in our free, structured course. Case studies – Hear how industry leaders use LangGraph to ship AI applications at scale. Contributing Guide – Learn how to contribute to LangChain projects and find good first issues. Code of Conduct – Our community guidelines and standards for participation. Acknowledgements LangGraph is inspired by Pregel and Apache Beam . The public interface draws inspiration from NetworkX . LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
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