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👨‍💻 Wren AI

🛠 Wren AI is an AI agent that allows users to request data in natural language and receive accurate SQL queries, charts, and analytical reports within seconds.

🔰 It provides capabilities for data interaction, insight generation, and includes a semantic layer that ensures the accuracy of conclusions.

🔰 API integration enables the creation of custom agents and chatbots.

🌟 The platform supports multiple databases and is compatible with various LLM models.

🔗 Links:
https://github.com/Canner/WrenAI

🖤Tags: #ai #agents #sql #llm
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🔥 Trending Repository: agents

📝 Description: Intelligent automation and multi-agent orchestration for Claude Code

🔗 Repository URL: https://github.com/wshobson/agents

🌐 Website: https://sethhobson.com

📖 Readme: https://github.com/wshobson/agents#readme

📊 Statistics:
🌟 Stars: 21.9K stars
👀 Watchers: 249
🍴 Forks: 2.5K forks

💻 Programming Languages: Python - Shell

🏷️ Related Topics:
#automation #orchestration #workflows #agents #ai_agents #claude #anthropic #anthropic_claude #claude_code #claudecode #subagents #sub_agents #claudecode_subagents #claudecode_config #claude_code_subagents #claude_code_commands #claude_code_cli #claude_code_plugin #claude_code_plugins #claude_skills


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🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: adk-samples

📝 Description: A collection of sample agents built with Agent Development Kit (ADK)

🔗 Repository URL: https://github.com/google/adk-samples

🌐 Website: https://google.github.io/adk-docs/

📖 Readme: https://github.com/google/adk-samples#readme

📊 Statistics:
🌟 Stars: 6.9K stars
👀 Watchers: 88
🍴 Forks: 2K forks

💻 Programming Languages: Python - Jupyter Notebook - TypeScript - HTML - JavaScript - CSS

🏷️ Related Topics:
#agents #adk #agent_samples


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: agent-starter-pack

📝 Description: Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

🔗 Repository URL: https://github.com/GoogleCloudPlatform/agent-starter-pack

🌐 Website: https://googlecloudplatform.github.io/agent-starter-pack/

📖 Readme: https://github.com/GoogleCloudPlatform/agent-starter-pack#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 53
🍴 Forks: 1.1K forks

💻 Programming Languages: Python - Jupyter Notebook - HCL - TypeScript - SCSS - Makefile

🏷️ Related Topics:
#gcp #gemini #agents #observability #mlops #generative_ai #llmops #genai_agents


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🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: adk-js

📝 Description: An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🔗 Repository URL: https://github.com/google/adk-js

🌐 Website: https://google.github.io/adk-docs/

📖 Readme: https://github.com/google/adk-js#readme

📊 Statistics:
🌟 Stars: 236 stars
👀 Watchers: 10
🍴 Forks: 26 forks

💻 Programming Languages: TypeScript - HTML - JavaScript

🏷️ Related Topics:
#agent #ai #multi_agent #agents #multi_agent_systems #ai_agents #multi_agents #llm #llms #genai #agentic #genai_chatbot #agentic_ai #multi_agents_collaboration #aiagentframework #agents_sdk


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🧠 By: https://t.me/DataScienceM
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🔥 Trending Repository: amazon-bedrock-agentcore-samples

📝 Description: Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

🔗 Repository URL: https://github.com/awslabs/amazon-bedrock-agentcore-samples

🌐 Website: https://aws.amazon.com/bedrock/agentcore/

📖 Readme: https://github.com/awslabs/amazon-bedrock-agentcore-samples#readme

📊 Statistics:
🌟 Stars: 1.9K stars
👀 Watchers: 19
🍴 Forks: 713 forks

💻 Programming Languages: Jupyter Notebook - Python - TypeScript - Shell - JavaScript - HTML

🏷️ Related Topics:
#agent #authentication #runtime #core #gateway #bedrock #memory_management #identity_management #agents #production_code #agentic_ai


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: agents

📝 Description: A powerful framework for building realtime voice AI agents 🤖🎙️📹

🔗 Repository URL: https://github.com/livekit/agents

🌐 Website: https://docs.livekit.io/agents

📖 Readme: https://github.com/livekit/agents#readme

📊 Statistics:
🌟 Stars: 8.6K stars
👀 Watchers: 94
🍴 Forks: 2.3K forks

💻 Programming Languages: Python - C++

🏷️ Related Topics:
#real_time #video #ai #voice #openai #agents


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: tambo

📝 Description: Generative UI SDK for React

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

🌐 Website: https://tambo.co

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

📊 Statistics:
🌟 Stars: 3K stars
👀 Watchers: 16
🍴 Forks: 180 forks

💻 Programming Languages: TypeScript - JavaScript - CSS - MDX - Shell - PLpgSQL - Dockerfile

🏷️ Related Topics:
#react #agent #ui #ai #js #reactjs #assistant #ui_components #agents #assistant_chat_bots #generative_ui


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: mastra

📝 Description: From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

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

🌐 Website: https://mastra.ai

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

📊 Statistics:
🌟 Stars: 20K stars
👀 Watchers: 85
🍴 Forks: 1.4K forks

💻 Programming Languages: TypeScript

🏷️ Related Topics:
#nodejs #javascript #typescript #ai #reactjs #mcp #nextjs #tts #chatbots #workflows #agents #llm #evals


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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: ai-data-science-team

📝 Description: An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

🔗 Repository URL: https://github.com/business-science/ai-data-science-team

📖 Readme: https://github.com/business-science/ai-data-science-team#readme

📊 Statistics:
🌟 Stars: 3.9K stars
👀 Watchers: 78
🍴 Forks: 741 forks

💻 Programming Languages: Python

🏷️ Related Topics:
#data_science #machine_learning #ai #openai #gpt #copilot #agents #data_scientist #ml_engineering #ai_engineer #ai_engineering #ml_engineer #generative_ai


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🧠 By: https://t.me/DataScienceM
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