🔥 Trending Repository: bytebot

📝 Description: Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.

🔗 Repository URL: https://github.com/bytebot-ai/bytebot

🌐 Website: https://www.bytebot.ai/

📖 Readme: https://github.com/bytebot-ai/bytebot#readme

📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 9
🍴 Forks: 119 forks

💻 Programming Languages: TypeScript - Dockerfile - CSS - Smarty - Scheme - JavaScript - PLpgSQL

🏷️ Related Topics:

#agent #docker #automation #ai #mcp #desktop #gemini #openai #desktop_automation #agents #cua #ai_agents #ai_tools #llm #anthropic #agentic_ai #computer_use #computer_use_agent #bytebot

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: ai-agents-for-beginners

📝 Description: 11 Lessons to Get Started Building AI Agents

🔗 Repository URL: https://github.com/microsoft/ai-agents-for-beginners

🌐 Website: https://microsoft.github.io/ai-agents-for-beginners/

📖 Readme: https://github.com/microsoft/ai-agents-for-beginners#readme

📊 Statistics:
🌟 Stars: 34.9K stars
👀 Watchers: 328
🍴 Forks: 11.1K forks

💻 Programming Languages: Jupyter Notebook - Python - Dockerfile

🏷️ Related Topics:

#ai_agents #autogen #generative_ai #semantic_kernel #ai_agents_framework #agentic_framework #agentic_rag #agentic_ai

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: ART

📝 Description: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

🔗 Repository URL: https://github.com/OpenPipe/ART

🌐 Website: https://art.openpipe.ai

📖 Readme: https://github.com/OpenPipe/ART#readme

📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 35
🍴 Forks: 380 forks

💻 Programming Languages: Python - Jupyter Notebook - Shell

🏷️ Related Topics:

#agent #reinforcement_learning #rl #lora #llms #qwen #kimi_ai #agentic_ai #grpo #qwen3

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: humanlayer

📝 Description: HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

🔗 Repository URL: https://github.com/humanlayer/humanlayer

🌐 Website: https://humanlayer.dev

📖 Readme: https://github.com/humanlayer/humanlayer#readme

📊 Statistics:
🌟 Stars: 1.3K stars
👀 Watchers: 8
🍴 Forks: 136 forks

💻 Programming Languages: TypeScript - Go - Python - CSS - Makefile - Shell

🏷️ Related Topics:

#ai #approval_process #agents #human_in_the_loop #escalation_policy #llm #llms #function_calling #agentic_workflow #agentic_ai #humanlayer #human_as_tool

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🧠 By: https://t.iss.one/DataScienceM

🔥 Trending Repository: koog

📝 Description: Koog is the official Kotlin framework for building and running robust, scalable and production-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

🔗 Repository URL: https://github.com/JetBrains/koog

🌐 Website: https://docs.koog.ai

📖 Readme: https://github.com/JetBrains/koog#readme

📊 Statistics:
🌟 Stars: 1.7K stars
👀 Watchers: 165
🍴 Forks: 117 forks

💻 Programming Languages: Kotlin

🏷️ Related Topics:

#kotlin #java #ai #spring #jvm #mcp #openai #agents #agentframework #ktor #llm #generative_ai #anthropic #ollama #android_ai #agentic_ai #aiagentframework

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🧠 By: https://t.iss.one/DataScienceM