Magif.ai
Turn expertise into client ready AI agents
What it does
Magif.ai helps coaches, consultants, trainers, and expert led businesses turn their knowledge into client ready AI agents. Upload your method, shape the agent with MAX, test the experience, launch it across web, Telegram, widget, or API, and monetize it with built in payments and analytics.
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ml-internApr 2026 · smolagents-ml-intern.hf.space · ▲91Hugging Face's AI agent that automates post-training
- AAAn AI agent that learns your product and guides your users2025 · frigade.ai · ▲69
Hey HN! My name is Christian, and I’m the co-founder of https://frigade.ai. We’ve built an AI agent that automatically learns how to use any web-based product, and in turn guides users directly in the UI, automatically generates documentation, and even takes actions on a user’s behalf. Think of it as Clippy from the old MS Office. But on steroids. And actually helpful. You can see the agent and tool-calling SDK in action here: https://www.youtube.com/watch?v=UPe0t3A1Vpg How is this different from other AI customer support products? Most AI "copilots" are really just…
- NINon-intrusive AI agent to automate email driven workflows2025 · mxtoai.com · ▲44
Hi HN! My co-founder and I spent the last 4 weeks building something we desperately needed ourselves. The Problem: We spend hours processing emails - scheduling meetings, going through long newsletters, downloading attachments to review, verifying documents like invoices, and of course taking actions on external systems (Salesforce, Asana, Jira etc) based on emails received. A lot of this can be automated with the help of AI agents, saving several hours every week. Our Solution: Forward any email to a specialized AI agent that completes the task and email you back the results. No…
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com