Alternatives
Products that do what NetCopilot does
AI-native terminal for network engineers
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We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM. At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided…
Jun 2026 · github.com
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Get 10x speed for building automations. AI copilot is here
2025
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I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…
May 2026 · github.com
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https://mailpilot.chat What is this? A local TUI (like Claude, Codex, Gemini, OpenCode or Copilot) that wraps your agent and sends each turn to an email in a nice format. What does it enable? It lets you email your agents. And them email you. So They Keep Working on the tasks you want, and You go and do What You Want. No need to stay at your desk. Be free. I built this for me, but thought others would find it useful, so I turned it into a product. I want get outside, and away from my desk, but still have the agents work. The accidental killer feature: You can CC your team. If you…
Jan 2026
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May 2026 · github.com
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Hi HN! I develop Monadic Chat, an open-source framework that connects language models to a Linux environment via Docker. It allows AI agents to execute code, run Jupyter notebooks, and perform web scraping in a secure, sandboxed environment. Key features: - Sandboxed environment for AI code execution - Support for multiple language models - Easy integration with existing Docker workflows I built this because I needed a reliable way to let AI agents interact with a real computing environment while maintaining security and reproducibility. Some possible use cases include: - Helping developers…
2024 · yohasebe.github.io
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