GitHub Trends
10.1K subscribers
15.3K links
See what the GitHub community is most excited about today.

A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.

Author and maintainer: https://github.com/katursis
Download Telegram
#other #ai #ai_agents #low_code #self_hosted #starter_kit

The Self-hosted AI Starter Kit is a tool that helps you set up a local AI development environment quickly. It includes several important components like n8n, a low-code platform with over 400 integrations, Ollama for running local language models, Qdrant for storing and managing data, and PostgreSQL for handling large amounts of data. With this kit, you can build various AI applications such as AI agents for scheduling, summarizing company PDFs securely, smarter Slack bots, and analyzing financial documents privately. The kit is easy to install using Docker Compose and provides a comprehensive setup to get started with AI workflows locally, keeping your data secure and private.

https://github.com/n8n-io/self-hosted-ai-starter-kit
#jupyter_notebook #agents #ai #ai_agent_framework #ai_agent_sdk #ai_agents #ai_agents_framework #ai_agents_sdk #ai_framwork #aiagent #aiagentframework #aiagents #aiagentsframework #framework #multi_agent #multi_agent_collaboration #multi_agent_system #multi_agent_systems #multi_agents #multi_ai_agent #multi_ai_agents

PraisonAI is a powerful tool that helps you build and manage AI agents easily. It combines different frameworks like CrewAI and AutoGen to create multi-agent systems with minimal coding. Here are the key benefits You can quickly create AI agents without much coding.
- **Multiple Interfaces** The tool allows internet searches to get up-to-date information.
- **Vision Language Model Support** You can integrate custom tools and configure the system using YAML files.
- **Low-Code Solution**: It offers both no-code and coding options, making it accessible to users of all skill levels.

Overall, PraisonAI simplifies the process of working with AI agents, making it easier to automate tasks, collaborate with AI, and customize your workflow.

https://github.com/MervinPraison/PraisonAI
#python #agents #ai #ai_agents #llms

CrewAI is a powerful framework that helps you build sophisticated AI systems where multiple agents work together seamlessly. Here’s how it benefits you CrewAI allows AI agents to assume roles, share goals, and operate as a cohesive unit, similar to a well-oiled crew. This enables complex problem-solving in real-world scenarios.
- **Deep Customization** Agents can autonomously delegate tasks and collaborate, making it easier to handle complex tasks efficiently.
- **Production-Grade Architecture** You can define and customize tasks with granular control, whether it's simple operations or complex multi-step processes.
- **Integration with Models**: CrewAI works with various language models, including OpenAI and local models, giving you the flexibility to choose the best model for your application.

By combining these features, CrewAI helps you build complex, production-grade applications with predictable and consistent results.

https://github.com/crewAIInc/crewAI
#python #ai_agents #customer_service #customer_success #genai #llm

Parlant is a tool that helps you control how AI agents behave when talking to customers. It lets you set specific rules, called guidelines, that the agent must follow in different situations. This means you can ensure the agent's responses are consistent and align with your business needs. With Parlant, you can easily update these rules without retraining the AI, and it also helps you detect any conflicts in the rules. This makes it easier to manage and improve the agent's behavior, ensuring reliable and efficient customer interactions. Additionally, Parlant supports multiple AI providers and offers a user-friendly interface for testing and debugging, making it easier to deploy and maintain your AI agents.

https://github.com/emcie-co/parlant
#python #agents #ai_agents #ai_agents_framework #artificial_intelligence #developer_tools #devtools #generative_ai #knowledge_graph #memory #rag

Potpie is an open-source platform that helps you automate code analysis, testing, and development tasks. It creates AI agents that understand your codebase deeply, allowing them to assist with debugging, feature development, and more. You can use pre-built agents for common tasks like debugging and testing, or create custom agents to handle specific needs. Potpie integrates seamlessly into your existing development workflow and works with codebases of any size or language. This makes it easier for developers to understand the codebase quickly, review code changes, and generate tests, saving time and improving efficiency.

https://github.com/potpie-ai/potpie
👍1
#python #ai_agents #ai_tools #browser_automation #llm #python

Browser-use is a tool that lets you control your browser using AI. It's easy to set up and use, and you can try it instantly with their hosted version. You can tell the AI to do tasks like searching on Reddit, adding items to a shopping cart, or even writing a letter in Google Docs. Joining their Discord community allows you to share your projects and see what others are creating. This tool saves you time by automating browser tasks, making it simpler to manage repetitive jobs. For more details, check out their documentation and examples.

https://github.com/browser-use/browser-use
#python #agents #ai #ai_agents #aiagents #developer_tools #function_calling #gpt_4 #gpt_4o #hacktoberfest #hacktoberfest2024 #javascript #js #llm #llmops #python #typescript

Composio is a powerful tool that helps AI agents work with many different apps and services. It supports over 250 tools, including popular ones like GitHub, Gmail, and Salesforce. Composio makes it easy to manage authentication across multiple accounts, which means you can securely connect your AI agents to various platforms without worrying about security issues. This integration enhances productivity by automating tasks and streamlining workflows, making it easier for developers and users to get more out of their AI tools.

https://github.com/ComposioHQ/composio
#jupyter_notebook #agentic_ai #agentic_framework #agentic_rag #ai_agents #ai_agents_framework #autogen #generative_ai #semantic_kernel

This course helps you learn about AI Agents from the basics to advanced levels. AI Agents are systems that use large language models to perform tasks by accessing tools and knowledge. The course includes 10 lessons covering topics like agent fundamentals, frameworks, and use cases. It provides code examples and supports multiple languages. By completing this course, you can build your own AI Agents and apply them in various applications, such as customer support or event planning, making complex tasks easier and more efficient.

https://github.com/microsoft/ai-agents-for-beginners
👍2
#typescript #ai #ai_agents #llm

Suna is a free, open-source AI assistant that helps you do many tasks easily by talking naturally. It can browse the web, gather and analyze data, manage files, run system commands, deploy websites, and connect with many online services and APIs. You can use it for things like market research, finding leads, writing reports, planning trips, or scraping data from websites. It runs securely in isolated environments and saves your work and history. You can host it yourself for full control and privacy, making it a powerful tool to automate complex workflows and save time on everyday or professional tasks[1][2][4][5].

https://github.com/kortix-ai/suna
👍1
#python #agent_computer_interface #ai_agents #computer_automation #computer_use #grounding #gui_agents #in_context_reinforcement_learning #memory #mllm #planning #retrieval_augmented_generation

Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively.

https://github.com/simular-ai/Agent-S
#python #agents #ai #ai_agents #api #developer_tools #function_calling #integration #llm #mcp #oauth2 #open_source #permissions #tools

ACI.dev is an open-source platform that helps build AI agents by providing easy access to over 600 tools. It simplifies authentication and tool integration, allowing AI agents to work with many services like Google Calendar and Slack without needing separate setups. This platform offers multi-tenant authentication, flexible access methods, and natural language permissions, making it easier to manage and secure AI agent capabilities. It's open-source and works with any framework, which means you can build AI agents without worrying about vendor lock-in.

https://github.com/aipotheosis-labs/aci
👍1
#python #ai #ai_agents #ai_memory #cognitive_architecture #cognitive_memory #contributions_welcome #good_first_issue #good_first_pr #graph_database #graph_rag #graphrag #help_wanted #knowledge #knowledge_graph #neo4j #open_source #openai #rag #vector_database

Cognee is an open-source AI memory engine that helps improve how AI systems understand and process data. It mimics human cognitive processes, creating "memories" from various data types like text and images. This enhances the accuracy of large language models (LLMs) and allows them to recall past interactions and documents. Cognee is scalable, cost-effective, and integrates easily with existing systems, making it a valuable tool for developers seeking to boost AI performance without relying on expensive APIs.

https://github.com/topoteretes/cognee
👍1
#python #agents #ai #ai_agents #llm #llms #mcp #model_context_protocol #python

The Model Context Protocol (MCP) is a standard way for AI agents to connect with different tools and data sources, making it much easier to build powerful AI applications without writing custom code for each integration[2][5]. The mcp-agent framework uses MCP to let you quickly create agents that can do things like read files, fetch web pages, or manage emails, and you can combine these agents in flexible ways to handle complex tasks. This means you can focus on what you want your AI to do, while mcp-agent takes care of connecting to the right tools and managing the workflow, saving you time and effort[3][5].

https://github.com/lastmile-ai/mcp-agent
#other #ai_agents #genai

You can explore a large collection of AI agent projects and use cases across many industries like healthcare, finance, education, customer service, and more. These AI agents automate tasks such as medical diagnosis, stock trading, personalized tutoring, customer support, product recommendations, and supply chain optimization. The projects include open-source code and frameworks like CrewAI, Autogen, Agno, and Langgraph, which help build, manage, and collaborate AI agents for tasks like coding, multi-agent teamwork, data analysis, and workflow automation. Using these resources can save you time, improve efficiency, and inspire you to create AI solutions tailored to your needs.

https://github.com/ashishpatel26/500-AI-Agents-Projects
#python #agent #agentic #agentic_ai #agents #agents_sdk #ai #ai_agents #aiagentframework #genai #genai_chatbot #llm #llms #multi_agent #multi_agent_systems #multi_agents #multi_agents_collaboration

The Agent Development Kit (ADK) is an open-source Python toolkit that helps you easily build, test, and deploy smart AI agents, from simple helpers to complex multi-agent systems. It lets you write agent logic in Python, use many built-in or custom tools, and organize multiple agents to work together. You can deploy agents anywhere, including Google Cloud, and evaluate their performance with built-in tools. ADK supports flexible workflows and works with various AI models, not just Google’s. This means you get full control and flexibility to create powerful AI applications that fit your needs, speeding up development and making it easier to manage AI projects.

https://github.com/google/adk-python
1
#typescript #agent #agentic_ai #agents #ai #ai_agents #ai_tools #anthropic #automation #bytebot #computer_use #computer_use_agent #cua #desktop #desktop_automation #docker #gemini #llm #mcp #openai

Bytebot is an open-source AI desktop agent that acts like a virtual employee with its own computer, able to use real applications, browse websites, handle passwords, and process documents automatically. You just describe tasks in plain English, and Bytebot completes them by clicking, typing, downloading files, organizing data, and running complex workflows across multiple programs. It runs locally on your own infrastructure, ensuring privacy and full control, and supports many AI models. This helps you save time by automating repetitive or complex tasks without scripting, improving efficiency and accuracy in business, research, or development work.

https://github.com/bytebot-ai/bytebot
#typescript #agent #ai #ai_agents #ai_tools #automation #browser #browser_automation #browser_use #chrome_extension #comet #dia #extension #manus #mariner #multi_agent #n8n #nano #opensource #playwright #web_automation

Nanobrowser is a free, open-source Chrome extension that uses multiple AI agents to automate complex web tasks directly in your browser, keeping your data private since everything runs locally. It supports many AI language models, lets you customize which models handle different tasks, and offers an easy chat interface to control and track automation. You can automate repetitive tasks, ask follow-up questions, and review past interactions without coding. It works best on Chrome and Edge and is a cost-effective alternative to expensive AI automation tools, giving you powerful, flexible web automation with full control and privacy.

https://github.com/nanobrowser/nanobrowser
#python #agents #ai #ai_agents #api #developer_tools #discord #function_calling #integration #llm #mcp #mcp_client #mcp_server #oauth2 #open_source

Klavis AI helps developers connect AI tools to other services like GitHub, Gmail, and Slack easily. It offers hosted servers that handle authentication and client code automatically, making it simpler to integrate AI with various platforms. This saves time and effort by eliminating the need for custom authentication management and client library maintenance. Users can quickly set up and scale their AI applications without worrying about complex integrations, making it easier to deploy AI-powered workflows securely and efficiently.

https://github.com/Klavis-AI/klavis
1
#python #agents #ai_agents #anthropic #anthropic_claude #automation #claude #claude_code #claude_code_cli #claude_code_commands #claude_code_plugin #claude_code_plugins #claude_code_subagents #claude_skills #claudecode #claudecode_config #claudecode_subagents #orchestration #sub_agents #subagents #workflows

Claude Code Plugins provide a comprehensive system of 63 focused plugins containing 85 specialized agents, 47 skills, and 44 development tools organized for intelligent automation across software development. You install only what you need, keeping token usage minimal while accessing domain experts in architecture, languages, infrastructure, quality, and operations. Each plugin loads independently with its own agents and commands, letting you compose multiple plugins for complex workflows. This granular design means faster, cleaner sessions with progressive disclosure—knowledge loads only when activated. The benefit is significant productivity gains: you get expert-level assistance tailored to your specific task without unnecessary overhead, enabling your entire team to work more efficiently on development, infrastructure, security, and automation challenges.

https://github.com/wshobson/agents
#typescript #agent #agentic #agentic_ai #agents #agents_sdk #ai #ai_agents #aiagentframework #genai #genai_chatbot #llm #llms #multi_agent #multi_agent_systems #multi_agents #multi_agents_collaboration

Agent Development Kit (ADK) for TypeScript is an open-source toolkit to build, test, and deploy advanced AI agents with full control in code. Key features include rich tools like Google Search, custom functions, and multi-agent hierarchies for scalable apps, plus a dev UI for easy debugging. Install via npm install @google/adk. You benefit by creating flexible, versioned AI agents that integrate tightly with Google Cloud, run anywhere from laptop to cloud, and speed up development like regular software.

https://github.com/google/adk-js