m8tes SDK

What it does

I made an SDK to create and deploy production-ready agents in a few lines: client = M8tes() teammate = client.teammates.create( name="revenue-report", instructions="Pull last week's Stripe charges, compare to the prior week, post a summary to #finance on Slack.", apps=["stripe", "slack"], schedule="every monday at 9am", ) Instantly you have a sandboxed agent running with apps, scheduler, email inbox, memory, etc. You set it up once and it runs without you.

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  Taskade GenesisDec 2025 · ▲418

  Build live apps with agents, memory and workflow automation.

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  RuntimeMay 2026 · runtm.com · ▲303

  Sandboxed coding agents for everyone on your team

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  AgentlyJul 2026 · agently.dev · ▲337

  Your whole stack, running itself!

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  QuickAgent2025 · ▲155

  Easily build AI agents that connect to any service, no-code

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  FactorySep 2025 · ▲168

  Agent-native development on Web, IDE, CLI, Slack and mobile

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  m8tes.ai: AI teammates that do your workMar 2026

  Create agents that work across your apps autonomously.

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  I trained a 125M model to autocomplete piano on-device▲598

  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 · 17d ago · simedw.com

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  Astute▲585

  Automate your B2B brand going viral, with new media creators

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  Grok Bot▲547

  AI teammates that you can give real work to

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  Needle2: 14MB agentic LLM for phones, wearables, smart home and robots▲537

  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

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  Monid▲474

  OpenRouter for agent tools

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  Clara AI SDR▲460

  Turn website visitors into qualified pipeline

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  Lightfield▲891

  AI-native CRM that builds itself and does work for you

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  Tobira.ai▲730

  A network where AI agents find deals for their humans

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  Claude Import Memory▲725

  Switch from ChatGPT to Claude with import memory feature

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  Littlebird▲712

  The AI assistant that already knows your work

  AI · Mar 2026 · littlebird.ai

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  Viktor.com▲701

  Your AI Coworker that proactively executes tasks

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  Jupid▲664

  File your taxes with Claude Code

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