#python #agent_infrastructure #ai_agent #ai_search #automation #bilibili #claude_code #cli #cursor #free_api #llm_tools #mcp #python #reddit_scraper #twitter_scraper #web_scraper #xiaohongshu #youtube_transcript
Agent Reach helps your AI agent get internet access fast, so it can read webpages, YouTube, Reddit, Twitter/X, GitHub, RSS, and more with simple commands. It is free, open source, privacy-focused, and works with many agents that can run terminal commands. This saves you time because you do not need to set up each site by hand, and your agent can start finding, reading, and summarizing online content for you in minutes.
https://github.com/Panniantong/Agent-Reach
Agent Reach helps your AI agent get internet access fast, so it can read webpages, YouTube, Reddit, Twitter/X, GitHub, RSS, and more with simple commands. It is free, open source, privacy-focused, and works with many agents that can run terminal commands. This saves you time because you do not need to set up each site by hand, and your agent can start finding, reading, and summarizing online content for you in minutes.
https://github.com/Panniantong/Agent-Reach
GitHub
GitHub - Panniantong/Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub…
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. - Panniantong/Agent-Reach
#zig #ai #ai_tools #llm #llm_inference #llm_tools
TensorFold runs language models locally on Apple Silicon Macs and NVIDIA GPUs without requiring Python or MLX for serving. It downloads and manages supported models and provides an API for chat and other requests. A local web app lets users pick models and chat with them, while a Mac desktop app adds model downloads, generation metrics, coding tools, and document editing. This makes it useful for running and using AI models on local hardware.
https://github.com/ashhart/TensorFold
TensorFold runs language models locally on Apple Silicon Macs and NVIDIA GPUs without requiring Python or MLX for serving. It downloads and manages supported models and provides an API for chat and other requests. A local web app lets users pick models and chat with them, while a Mac desktop app adds model downloads, generation metrics, coding tools, and document editing. This makes it useful for running and using AI models on local hardware.
https://github.com/ashhart/TensorFold
GitHub
GitHub - ashhart/TensorFold: LLM Inference Engine for Metal, CUDA and Vulkan.
LLM Inference Engine for Metal, CUDA and Vulkan. Contribute to ashhart/TensorFold development by creating an account on GitHub.
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