Meta-Orchestrator Ω GitHub:
https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… #AGIFirst #AGIALPHA #ASIFirst
OPEN SOURCE
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Meta-Orchestrator Ω: New AGI-Alpha Agent Framework Released
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vLLM Prefix Caching: Optimization Technique Explained
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here's my favorite, the explanation of vLLM prefix caching: http://
docs.vllm.ai/en/v0.8.5/desi
gn/automatic_prefix_caching.html
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Krea AI lance Krea 1 gratuitement
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Krea AI released Krea 1, a new image generation model which you can use for free.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 juin 2025
Image gen animations are very cool 👀 https://t.co/3gQNlkHNYd pic.twitter.com/exMaftcaFyKrea AI released Krea 1, a new image generation model which you can use for free. Image gen animations are very cool
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Stable AI Model Reliability: Preview Changes, Stable Remains
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Preview might change or go away, like it did with 03-25, but Stable is stable and not going anywhere.
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Build Dynamic Memory for AI Agents with Cognee ECL Pipelines
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Build dynamic memory for AI Agents in just 5 lines of code! Cognee let's you build memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines. 100% Open Source
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Moonshot AI Launches Kimi-Dev-72B Open-Source Coding Model
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Moonshot AI launched Kimi-Dev-72B, a new open-source coding model for software engineering tasks It achieves SOTA results on SWE-bench Verified software tasks, surpassing open-source rivals like DeepSeek R1, V3, and Devstral
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Nvidia Launches Isaac Sim 5.0 and Isaac Lab 2.2 for Robot AI Development
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Nvidia launched Issac Sim 5.0 and Issac Lab 2.2 in early preview on GitHub
— Rowan Cheung (@rowancheung) 17 juin 2025
These open frameworks now come with extensions for synthetic data generation and robot models — streamlining how devs build, train, and test AI robots in physics-based simulationspic.twitter.com/rAwpgcTaw7Nvidia launched Issac Sim 5.0 and Issac Lab 2.2 in early preview on GitHub These open frameworks now come with extensions for synthetic data generation and robot models — streamlining how devs build, train, and test AI robots in physics-based simulations
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MiniMax M1: Open-Source Reasoner LLM with 1M Token Context
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MiniMax dropped M1, a new open-source reasoner LLM with: —World’s largest context window: 1M-token input, 80k-token output
—SOTA agentic use among open-source models
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Gemini 2.5: Flash Lite, Pro Deep Think, Pro GA
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Gemini 2.5 Flash Lite?
Gemini 2.5 Pro Deep Think?
Gemini 2.5 Pro GA? The next leap -
MiniMax-M1: Open-Weight Hybrid-Attention LLM Drops
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Stop scrolling.
The world’s first open-weight hybrid-attention LLM is here—built to dominate long-context reasoning, code, and tool use. MiniMax-M1 just dropped.
This AI agent = Manus + Deep Research + Computer Use + Lovable.
1M token memory. Open weights. 5 wild examples +