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Products that do what Output.ai - OSS framework we extracted from 500+ production AI agents does

  1. 1
    Output97

    An AI Agent that operates your computer for you

    2025

  2. 2WF

    Writer Framework is an open-source framework for creating AI applications. Build user interfaces using a visual editor; write the backend code in Python. Writer Framework is fast and flexible with a clean, easily-testable syntax. It provides separation of concerns between UI and business logic, enabling more complex applications.

    2024 · github.com

  3. 3WA
  4. 4

    Open-source evaluations and observability for LLM apps

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  5. 5

    The open-source framework for real-time AI voice

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  6. 6

    Build and update product documentation effortlessly with AI

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  7. 7

    Unified DevOps platform to build AI applications

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  8. 8
    Cua389

    Docker for computer-use agents

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  9. 9

    Platform for measuring and training AI agents

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  10. 10OA

    Hey HN, After months of building, we're excited to share Output — the first AI agent that can truly control your computer. You can speak or type instructions like: “Fill out this job application using the info in this PDF” “Edit this video in DaVinci Resolve” “Schedule a Zoom call and send the invite” Output understands your intent and directly clicks, types, and navigates apps across your system — without relying on scripts, plugins, or integrations. It's like giving your computer a brain. Works on both Mac and Windows No setup or scripting required Handles real apps like Chrome, Excel,…

    2025 · theoutput.co

  11. 11
    Dify.AI261

    Open-source platform for LLMOps, define your AI-native apps

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  12. 12AA

    Hey HN, I wanted to share a new project we've been working on for the last couple of months called ART (https://github.com/OpenPipe/ART). ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose outcome can be measured and quantified. There are many excellent projects focused on training LLMs with RL, such as GRPOTrainer (https://huggingface.co/docs/trl/main/en/grpo_trainer) and verl…

    2025 · github.com

  13. 13AO
  14. 14

    AI framework: open source, reliable, scalable & customizable

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  15. 15

    The open-source AI workstation for coding, ops, and life

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  16. 16
    Ray 3.0109

    Output window for your AI agents

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  17. 17EA

    Hey HN, I've been working on an open-source framework for creating AI agents that evolve, communicate, and collaborate to solve complex tasks. The Evolving Agents Framework allows agents to: Reuse, evolve, or create new agents dynamically based on semantic similarity Communicate and delegate tasks to other specialized agents Continuously improve by learning from past executions Define workflows in YAML, making it easy to orchestrate agent interactions Search for relevant tools and agents using OpenAI embeddings Support multiple AI frameworks (BeeAI, etc.) Current Status & Roadmap This is…

    2025 · github.com

  18. 18OS

    GitHub: https://github.com/ClioAI/kw-sdk Most AI agent frameworks target code. Write code, run tests, fix errors, repeat. That works because code has a natural verification signal. It works or it doesn't. This SDK treats knowledge work like an engineering problem: Task → Brief → Rubric (hidden from executor) → Work → Verify → Fail? → Retry → Pass → Submit The orchestrator coordinates subagents, web search, code execution, and file I/O. then checks its own work against criteria it can't game (the rubric is generated in a separate call and the executor never sees it…

    Feb 2026 · github.com

  19. 19AA
  20. 20DA
  21. 21PR
  22. 22AA
  23. 23OS

    We recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k. Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks. Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building toward a system that can capture failure context, evolve agent logic, and continuously improve…

    Feb 2026 · github.com

  24. 24AA

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