Open-source framework for building real-time voice AI agents! Pipecat is a Python framework for orchestrating audio, video, AI services, transports, and conversation pipelines. Voice-first architecture with pluggable components. What you can build: voice assistants, AI
SOFTWARE
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Streamlined AI Agent Deployment: Init to Live Endpoint
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One config file. One deploy command. Everything else is managed. deepagents init → deepagents deploy → live endpoint. Full breakdown here
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Managed Deep Agents Private Beta Launched for AI Infrastructure
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Managed Deep Agents is now in Private Beta ICYMI: It’s managed, model-agnostic infra for deep agents you can deploy with a single line of code. A quick thread on what you get out of the box
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Qwen 3.6 2.5x Faster on Atomic Chat with MTP
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Qwen 3.6 models are now 2.5x times faster on Atomic Chat with new MTP speedups.
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 mai 2026
> MTP drafts several tokens ahead and verifies them in one pass. The speedup depends on the memory moved per pass.
Users can run Qwen 3.6 models locally via the open-source Atomic Chat to test… https://t.co/ML74IS2mHE pic.twitter.com/VPzSdcWqkWQwen 3.6 models are now 2.5x faster on Atomic Chat with new MTP speedups. > MTP drafts several tokens ahead and verifies them in one pass. The speedup depends on the memory moved per pass. Users can run Qwen 3.6 models locally via the open-source Atomic Chat to test
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Aphrodite with Exl3 supports TP, thank me later
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Aphrodite w/ Exl3 supports TP btw Thank me later 😉
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AutoResearchClaw: Autonomous AI Research with Collaboration
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AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration As real-world science is iterative, this paper introduces AutoResearchClaw, a multi-agent system that debates ideas, self-corrects experiments, decides whether to pivot or refine, verifies data, and
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Making Local AI effortless eliminates subscription and API limit fears
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I am gonna make Local AI so easy people are gonna wonder why they were so worried about subscriptions and API limits
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Educational thread on Local AI covering software, hardware, and infrastructure
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BTW, I have an entire thread with all of my educational content on Local AI Covers everything from Software to Hardware to Infrastructure & Systems Design for running AI locally You absolutely should check it out as well for the bigger picture
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Agent Swarms for Apps and Automations
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🚨 AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT
— Abacus.AI (@abacusai) 21 mai 2026
Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems
Each agent excels at a particular task – coding, testing, mobile app, research and monitoring
Master agent orchestrates… pic.twitter.com/QGfgUPNT84AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH A SINGLE PROMPT Combine Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to create advanced multi-agent systems. Each agent specializes in a specific task—coding, testing, mobile app development, research, and monitoring. A master agent orchestrates the workflow.
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Free online bible for running LLMs locally on any hardware
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DROP EVERYTHING The bible for running LLMs locally is now available online to read for free Covers what to use on – Laptop / edge / odd hardware
– Mac-first workflows
– Single RTX GPUs
– 2-4+ NVIDIA / CUDA GPUs
– General production serving
– Long-context / MoE / routing
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