Alternatives
Products that do what Mozilla.ai introduces Clawbolt, an AI Assistant for the trades does
Hey everyone, Nathan here: I'm an MLE at Mozilla.ai. I can't tell you how many things around my house I've been saying "I would really like to have somebody take a look at that". But here's the problem: all the people in the trades are extremely overwhelmed with work. There is a lot to be done and not enough people to do it. One of my best friends runs his own general contracting business. He's extremely talented and wants to spend his time working on drywall, building staircases, and listening to Mumford and Sons while throwing paint onto a ceiling. But you know what gets in the way of that…
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Turn your best AI prompts into one-click tools in Chrome
Apr 2026 · blog.google
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We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent…
Feb 2026 · github.com
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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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Hey HN. I'm Fabien, principal engineer, 25 years shipping production systems (Ruby, Swift, now Rust). I built Moltis because I wanted an AI assistant I could run myself, trust end to end, and make extensible in the Rust way using traits and the type system. It shares some ideas with OpenClaw (same memory approach, Pi-inspired self-extension) but is Rust-native from the ground up. The agent can create its own skills at runtime. Moltis is one Rust binary, 150k lines, ~60MB, web UI included. No Node, no Python, no runtime deps. Multi-provider LLM routing (OpenAI, local GGUF/MLX, Hugging…
Feb 2026 · moltis.org
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Hi HN I recently got married, promptly had a bit of a meltdown, and decided to lock myself in a room and build for a while. At the same time, I was trying to outbound sell for my startup and kept running into the same problem: I wanted an automation tool that could actually use my computer like a person. Click through UIs, copy/paste between apps, handle messy workflows — not just APIs and webhooks. I couldn’t find anything that felt: - consumer-friendly (non-technical) - local-first - flexible enough for real-world, UI-driven tasks So I challenged myself to see how far I could get…
Jan 2026 · automatewithtasker.com
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The goal was to bring down the cost at the context eng. level. We do it with Layout Memoization. Instead of dumping HTML into the context window, we have built a continual learning browser harness (read only for now). We have built an early prototype for you to try out, where you can: 1. Spins up a browser instance 2. Extract any structured or tabular data from anywhere on the open-web 3. And you can do all this at the cost of a vector search Would love to hear your thoughts on this. Thanks for taking the time to read it.
8d ago · makralabs.org
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So, you know how bigtech gives nearly unlimited credits for coding tools and in the same time put a huge admin whitelist of what commands are allowed? So, instead of becoming a 100x engineers, you (including me) simply become a multi-window-enter-clicker I build a tool to solve this. It works locally, using OCR finds the "run" (or any other label you put e.g. accept, allow, fetch etc. ) and just clicks this button. Originally this was a tool for me and my team, but people seamed to love it so much, they encouraged me to share with you. I do understand that workflows in each bigtech company…
May 2026 · github.com
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Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve the problem of privacy and security. When you use an agent that is configured with a cloud model like codex, cursor, Claude etc. You are not just getting the agent but you are giving up your codebase to train an llm which is a bit concerning and this reduces trust in the technology called AI but now another problem comes in performance when you switch to a local model that is…
May 2026
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Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve the problem of privacy and security. When you use an agent that is configured with a cloud model like codex, cursor, Claude etc. You are not just getting the agent but you are giving up your codebase to train an llm which is a bit concerning and this reduces trust in the technology called AI but now another problem comes in performance when you switch to a local model that is…
May 2026
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