Alternatives
Products that do what OpenWork does
Open-source Claude Work alternative, powered by OpenCode
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Automate boring work. Extensible and free desktop AI agent.
30d ago · agent-one.dev
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Hi HN, We are excited to share patchwork - an open-source CLI for dev chore automation that you can use with your LLM of choice. Dev Teams can orchestrate custom workflows (called ‘patchflows’) using a combination of reusable steps and prompt templates to fix vulnerabilities, upgrade breaking dependencies, generate documentation, and more. We built scanning tools in the past, and saw how overwhelmed developers get with their DevSecOps pipelines. LLMs have the potential to help - but there is a need for an 'outer-loop' solution that can be customized to accommodate the processes, priorities,…
2024 · github.com
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I’ve found coding agents to be great at 1/ finding everything they need across large codebases using only bash commands (grep, glob, ls, etc.) and 2/ building new things based on their findings (duh). What if, instead of a codebase, the files were all your workplace docs? There was a `Google_Drive` folder, a `Linear` folder, a `Slack` folder, and so on. Over the last week, we put together Craft to test this out. It’s an interface to a coding agent (OpenCode for model flexibility) running on a virtual machine with: 1. your company's complete knowledge base represented as…
Jan 2026
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We're open sourcing Nimbalyst, a multi-agent, visual workspace for building with Claude Code, Codex, and Opencode (alpha). It pairs parallel session management with WYSIWYG editors so you and your agents can work on the same files at the same time. The core idea: agents edit files, you edit files, and Nimbalyst makes that collaboration legible. Built-in WYSIWYG editors cover markdown, mockups, Excalidraw diagrams, data models, spreadsheets, and code (Monaco). Every edit is tracked back to the session that made it, with red/green WYSIWYG markdown diffs for review and approval. A session…
Apr 2026 · github.com
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TankWork is an open-source desktop agent framework that enables AI to perceive and control your computer through computer vision and system-level interactions. Agents can: Control your computer directly through voice or text commands Process real-time screen content using computer vision and expert skill routing Interact through natural language voice commands and text input Provide continuous audio-visual feedback and action logging Switch seamlessly between assistant and computer control modes
2025 · github.com
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