Want ONE BILLION free LLM tokens a month without juggling a dozen different APIs? Now you can *legally* unlock that massive inference capacity by combining the free tiers of Google, Groq, SambaNova, Mistral, and GitHub Models. The only problem is the headache of managing all
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AI Agent Memory Persistence Across Coding Tools
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To add: The "memory" mentioned here isn't just "chat history." Whether the agent can remember your projects, toolchains, preferences, pitfalls, and reusable practices long-term, and continue using them across Codex / Claude Code / Hermes. If you're working on agent workflows,
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Solving Differential Equations With Neural Networks
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Solving Differential Equations With Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/DE-NNs -
Agent Swarms: Multi-Agent Systems with Top LLMs
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🚨 BREAKING – Agent Swarms Are Multi-Agent Systems That Create Agents with Top LLMs Including
— Abacus.AI (@abacusai) 27 mai 2026
– GPT 5.5
– Opus 4.7
– Sonnet 4.8
– Gemini 3.5
– SeeDance 2.0
– Nano Banana Pro
– ElevenLabs
They help you vibe code apps and build a billion dollar business!! pic.twitter.com/nT38479LrUBREAKING – Agent Swarms Are Multi-Agent Systems That Create Agents with Top LLMs Including – GPT 5.5
– Opus 4.7
– Sonnet 4.8
– Gemini 3.5
– SeeDance 2.0
– Nano Banana Pro
– ElevenLabs They help you vibe code apps and build a billion dollar business!! -
WordPress categories covering AI topics
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Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026Web designers after reading this:
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Codex for parallel browser-using subagents
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Codex for parallel browser-using subagents: https://t.co/Iqa3RgcBwD
— Greg Brockman (@gdb) 27 mai 2026Codex for parallel browser-using subagents:
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Responses API Now Supported Across SambaCloud, Stack, Managed
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3/ The Responses API is now supported across: SambaCloud SambaStack SambaManaged Starting with:
• gpt-oss-120B
• MiniMax M2.5
• MiniMax M2.7 Built for Codex CLI, Cline, OpenCode, CrewAI, OpenClaw, and custom agent harnesses. -
SambaNova Responses API Accelerates High-Volume Agent Workflows
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2/ Paired with SambaNova’s new Responses API, devs now get the fastest, most reliable foundation for high-volume agent workflows: • Large refactors
• Migrations
• Repo cleanup
• Multi-step coding tasks Because in agentic workflows, speed + cost determine whether an agent is -
MiniMax M2.7 Live: 435 Tokens/Sec for Coding Agents
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1/ @MiniMax_AI M2.7 is live on SambaCloud — running at 435 output tokens/sec, more than 3x the next-fastest provider (per @ArtificialAnlys
). Built for the way coding agents actually work: Reading files Running tests Fixing errors Looping until the job is done -
Managed Deep Agents for Long-Horizon AI Tasks and Tool Use
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Managed Deep Agents is built for agents that need to work over long time horizons, use tools, preserve context, and produce artifacts. A few examples of what teams are building: Support + triage agents Research agents Coding agents Data analysis agents Internal