#other #agents #agi #ai #anthropic #artifacts #awesome #awesome_list #bots #chatbot #chatgpt #claude #exploit #gemini #google #gpt #hack #jailbreak #openai #prompts #spam
AI tools like autonomous software engineers can help developers by completing tasks independently or working alongside them. This can increase productivity by automating repetitive tasks, allowing developers to focus on more complex and creative work. AI also helps reduce errors and improves code quality, making the development process faster and more efficient. Overall, using AI in software development can lead to better outcomes and more innovative solutions.
https://github.com/friuns2/BlackFriday-GPTs-Prompts
AI tools like autonomous software engineers can help developers by completing tasks independently or working alongside them. This can increase productivity by automating repetitive tasks, allowing developers to focus on more complex and creative work. AI also helps reduce errors and improves code quality, making the development process faster and more efficient. Overall, using AI in software development can lead to better outcomes and more innovative solutions.
https://github.com/friuns2/BlackFriday-GPTs-Prompts
GitHub
GitHub - friuns2/BlackFriday-GPTs-Prompts: List of free GPTs that doesn't require plus subscription
List of free GPTs that doesn't require plus subscription - friuns2/BlackFriday-GPTs-Prompts
#rust #ai #ai_engineering #anthropic #artificial_intelligence #deep_learning #genai #generative_ai #gpt #large_language_models #llama #llm #llmops #llms #machine_learning #ml #ml_engineering #mlops #openai #python #rust
TensorZero is a free, open-source tool that helps you build and improve large language model (LLM) applications by using real-world data and feedback. It gives you one simple API to connect with all major LLM providers, collects data from your app’s use, and lets you easily test and improve prompts, models, and strategies. You can see how your LLMs perform, compare different options, and make them smarter, faster, and cheaper over time—all while keeping your data private and under your control. This means you get better results with less effort and cost, and your apps keep improving as you use them[1][2][3].
https://github.com/tensorzero/tensorzero
TensorZero is a free, open-source tool that helps you build and improve large language model (LLM) applications by using real-world data and feedback. It gives you one simple API to connect with all major LLM providers, collects data from your app’s use, and lets you easily test and improve prompts, models, and strategies. You can see how your LLMs perform, compare different options, and make them smarter, faster, and cheaper over time—all while keeping your data private and under your control. This means you get better results with less effort and cost, and your apps keep improving as you use them[1][2][3].
https://github.com/tensorzero/tensorzero
GitHub
GitHub - tensorzero/tensorzero: TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation…
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. - tensorzero/tensorzero
#typescript #ai #anthropic #artifacts #assistant_api #aws #azure #chatgpt #chatgpt_clone #claude #clone #dall_e_3 #deepseek #gemini #google #librechat #o1 #openai #plugins #vision #webui
LibreChat is a free, open-source AI chatbot platform that lets you use many AI models like OpenAI, Anthropic, and AWS in one place. It offers advanced features such as secure code execution in multiple programming languages, AI assistants that can handle files and tools without coding, and the ability to generate images and diagrams directly in chat. You can search conversations easily, manage multiple chat threads, and customize the interface to fit your needs. LibreChat supports multiple languages, speech input/output, and secure multi-user access. It can be deployed locally or on the cloud, giving you flexibility and control over your AI experience. This means you get a powerful, customizable AI assistant without needing to pay for ChatGPT Plus or rely on a single provider[1][3][5].
https://github.com/danny-avila/LibreChat
LibreChat is a free, open-source AI chatbot platform that lets you use many AI models like OpenAI, Anthropic, and AWS in one place. It offers advanced features such as secure code execution in multiple programming languages, AI assistants that can handle files and tools without coding, and the ability to generate images and diagrams directly in chat. You can search conversations easily, manage multiple chat threads, and customize the interface to fit your needs. LibreChat supports multiple languages, speech input/output, and secure multi-user access. It can be deployed locally or on the cloud, giving you flexibility and control over your AI experience. This means you get a powerful, customizable AI assistant without needing to pay for ChatGPT Plus or rely on a single provider[1][3][5].
https://github.com/danny-avila/LibreChat
GitHub
GitHub - danny-avila/LibreChat: Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API,…
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message...
#typescript #agent_workflow #agentic_workflow #agents #ai #aiagents #anthropic #artificial_intelligence #automation #chatbot #deepseek #gemini #low_code #nextjs #no_code #openai #rag #react #typescript
Sim Studio is an easy-to-use, open-source platform that lets you build AI workflows visually without coding by dragging and connecting blocks on a canvas. It supports many AI models and integrates with over 60 popular tools like Gmail, Slack, and Google Sheets. You can run workflows via chat, APIs, or scheduled jobs and deploy them as APIs or plugins. It also offers real-time collaboration and built-in monitoring. This helps you quickly create, test, and deploy AI-powered applications or automation, saving time and effort while allowing flexibility and control over your AI projects[1][2][3][4].
https://github.com/simstudioai/sim
Sim Studio is an easy-to-use, open-source platform that lets you build AI workflows visually without coding by dragging and connecting blocks on a canvas. It supports many AI models and integrates with over 60 popular tools like Gmail, Slack, and Google Sheets. You can run workflows via chat, APIs, or scheduled jobs and deploy them as APIs or plugins. It also offers real-time collaboration and built-in monitoring. This helps you quickly create, test, and deploy AI-powered applications or automation, saving time and effort while allowing flexibility and control over your AI projects[1][2][3][4].
https://github.com/simstudioai/sim
GitHub
GitHub - simstudioai/sim: Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce. - simstudioai/sim
#python #agentic_code #agentic_coding #ai_workflow_optimization #ai_workflows #anthropic #anthropic_claude #awesome #awesome_list #awesome_lists #awesome_resources #claude #claude_code #coding_agent #coding_agents #coding_assistant
This repository is a collection of resources to enhance your workflow with Claude Code, a powerful coding assistant. It includes **slash-commands**, **tooling**, **hooks**, and **CLAUDE.md files** that help you manage projects, automate tasks, and improve code quality. The repository is community-driven, allowing users to share and discover new ways to use Claude Code effectively. By contributing to this list, you can help others and improve your own productivity with Claude Code.
https://github.com/hesreallyhim/awesome-claude-code
This repository is a collection of resources to enhance your workflow with Claude Code, a powerful coding assistant. It includes **slash-commands**, **tooling**, **hooks**, and **CLAUDE.md files** that help you manage projects, automate tasks, and improve code quality. The repository is community-driven, allowing users to share and discover new ways to use Claude Code effectively. By contributing to this list, you can help others and improve your own productivity with Claude Code.
https://github.com/hesreallyhim/awesome-claude-code
GitHub
GitHub - hesreallyhim/awesome-claude-code: A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications…
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic - hesreallyhim/awesome-claude-code
#python #agents #ai #anthropic #llm #openai #python
You can use this Cookbook to quickly add ready-made AI code snippets to your projects, saving you time and effort in building AI systems. It offers practical tutorials and resources to help you learn AI development, start freelancing, or get expert help on your AI projects. Joining the free community can support your learning, and the GenAI Launchpad helps you build AI applications faster. This means you can develop real-world AI solutions more easily and grow your skills or business with guidance from an experienced AI engineer.
https://github.com/daveebbelaar/ai-cookbook
You can use this Cookbook to quickly add ready-made AI code snippets to your projects, saving you time and effort in building AI systems. It offers practical tutorials and resources to help you learn AI development, start freelancing, or get expert help on your AI projects. Joining the free community can support your learning, and the GenAI Launchpad helps you build AI applications faster. This means you can develop real-world AI solutions more easily and grow your skills or business with guidance from an experienced AI engineer.
https://github.com/daveebbelaar/ai-cookbook
GitHub
GitHub - daveebbelaar/ai-cookbook: Examples and tutorials to help developers build AI systems
Examples and tutorials to help developers build AI systems - daveebbelaar/ai-cookbook
#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
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
GitHub
GitHub - bytebot-ai/bytebot: Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands…
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment. - bytebot-ai/bytebot
#javascript #ai #anthropic #chatbots #chatgpt #claude #gemini #generative_ai #google_deepmind #large_language_models #llm #openai #prompt_engineering #prompt_injection #prompts
There is a collection of system prompts used by popular chatbots like ChatGPT and others. These prompts are instructions that guide how chatbots respond. They are now available publicly on GitHub, which can be very helpful for users. By seeing these prompts, users can understand how chatbots work and even learn how to create their own AI tools. This can help developers build better AI applications and improve their understanding of AI technology.
https://github.com/asgeirtj/system_prompts_leaks
There is a collection of system prompts used by popular chatbots like ChatGPT and others. These prompts are instructions that guide how chatbots respond. They are now available publicly on GitHub, which can be very helpful for users. By seeing these prompts, users can understand how chatbots work and even learn how to create their own AI tools. This can help developers build better AI applications and improve their understanding of AI technology.
https://github.com/asgeirtj/system_prompts_leaks
GitHub
GitHub - asgeirtj/system_prompts_leaks: Extracted system prompts from ChatGPT (GPT-5.4, GPT-5.3, Codex), Claude (Opus 4.6, Sonnet…
Extracted system prompts from ChatGPT (GPT-5.4, GPT-5.3, Codex), Claude (Opus 4.6, Sonnet 4.6, Claude Code), Gemini (3.1 Pro, 3 Flash, CLI), Grok (4.2, 4), Perplexity, and more. Updated regularly. ...
#kotlin #agentframework #agentic_ai #agents #ai #aiagentframework #android_ai #anthropic #generative_ai #java #jvm #kotlin #ktor #llm #mcp #ollama #openai #spring
Koog is a Kotlin-based open-source framework that helps you build AI agents fully in Kotlin, making it easy to create smart assistants that can use tools, manage complex tasks, and remember past interactions. It supports multiple AI models like OpenAI and Google, runs on many platforms (JVM, JavaScript, iOS), and offers features like real-time streaming, custom tools, and efficient memory use. Koog also provides debugging tools, flexible workflows, and scales from simple chatbots to enterprise systems. Using Koog lets you develop powerful, maintainable AI agents quickly and naturally within the Kotlin ecosystem, benefiting your projects with speed, flexibility, and strong integration options.
https://github.com/JetBrains/koog
Koog is a Kotlin-based open-source framework that helps you build AI agents fully in Kotlin, making it easy to create smart assistants that can use tools, manage complex tasks, and remember past interactions. It supports multiple AI models like OpenAI and Google, runs on many platforms (JVM, JavaScript, iOS), and offers features like real-time streaming, custom tools, and efficient memory use. Koog also provides debugging tools, flexible workflows, and scales from simple chatbots to enterprise systems. Using Koog lets you develop powerful, maintainable AI agents quickly and naturally within the Kotlin ecosystem, benefiting your projects with speed, flexibility, and strong integration options.
https://github.com/JetBrains/koog
GitHub
GitHub - JetBrains/koog: Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready…
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-b...
#other #ai #anthropic_claude #awesome #context #mcp #model_context_protocol #servers #tool_use #tools
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers
GitHub
GitHub - appcypher/awesome-mcp-servers: Awesome MCP Servers - A curated list of Model Context Protocol servers
Awesome MCP Servers - A curated list of Model Context Protocol servers - appcypher/awesome-mcp-servers