
MicroAgent
Learn how to build an AI Agent
What it does
MicroAgent is a course-shaped iOS app that teaches agent loops, planning, memory, collaboration, and task isolation through a finished runnable demo and structured lessons. Course Flow: Start from a visible agent loop, then layer planning, memory, collaboration, and task isolation across a 12-lesson path. Teen-Friendly Path: Structured so middle-school and high-school learners can begin from cause-and-effect workflows and graduate to capstone demos.
Does a similar job
all alternatives →- MAMicroagents: Agents capable of self-editing their prompts / Python code2023 · github.com · ▲221

- MAMicroagent, a fork of OpenAI Swarm that supports Groq and Anthropic2024 · github.com · ▲13

CoursekitMar 2026 · productizeyourmind.com · ▲257Turn your course into a full suite of embeddable AI agents

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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.
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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…
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Launched alongside, March 2026
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