AgentSwarms
Unified Agentic AI & Business Intelligence OS
What it does
AgentSwarms has officially made source code available for its powerful multi-agent engine. Originally known as the premier learning platform for agentic AI, AgentSwarms can now be deployed directly onto your own infrastructure as a unified Agentic AI and AI Powered Business Intelligence platform.
Hands-on playground for Agentic AI. Free: 8 tracks, 50+ lessons, 50+ runnable agents & swarms, 25 build-along labs — RAG, tools, guardrails, swarms.
50+ lessons paired with 50+ runnable agents and swarms: ReAct, Reflexion, Graph RAG, text-to-SQL. Open one in your browser, fork it, and break it. Start from a working multi-agent system, not a blank canvas. Each template ships wired agents, tools, memory, and a swarm you can run in one click — export in your choice of framework, modify and run in your choice of environment. An orchestrator routes work across specialist agents — intake, research, and synthesis — handing off context at each step until the task is done. Parallel agents pull signals, score sentiment, and a synthesis agent writes the final memo — the analyst workflow as a runnable swarm. A release pipeline of agents plans the…from agentswarms.fyi
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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 · 16d ago · simedw.com
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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, August 2026
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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 · 16d ago · simedw.com