🔥 Trending Repository: mcp-context-forge
📝 Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
🔗 Repository URL: https://github.com/IBM/mcp-context-forge
🌐 Website: https://ibm.github.io/mcp-context-forge/
📖 Readme: https://github.com/IBM/mcp-context-forge#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 22
🍴 Forks: 184 forks
💻 Programming Languages: Python - JavaScript - Makefile - HTML - Go - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
🔗 Repository URL: https://github.com/IBM/mcp-context-forge
🌐 Website: https://ibm.github.io/mcp-context-forge/
📖 Readme: https://github.com/IBM/mcp-context-forge#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 22
🍴 Forks: 184 forks
💻 Programming Languages: Python - JavaScript - Makefile - HTML - Go - Shell
🏷️ Related Topics:
#python #docker #kubernetes #devops #jwt #tools #ai #api_gateway #mcp #gateway #asyncio #federation #agents #observability #authentication_middleware #fastapi #prompt_engineering #generative_ai #llm_agents #model_context_protocol
==================================
🧠 By: https://t.iss.one/DataScienceM
❤2
🔥 Trending Repository: motia
📝 Description: Modern Backend Framework that unifies APIs, background jobs, workflows, and AI agents into a single cohesive system with built-in observability and state management.
🔗 Repository URL: https://github.com/MotiaDev/motia
🌐 Website: https://motia.dev
📖 Readme: https://github.com/MotiaDev/motia#readme
📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 47
🍴 Forks: 471 forks
💻 Programming Languages: TypeScript - MDX - Python - JavaScript - CSS - Ruby
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Modern Backend Framework that unifies APIs, background jobs, workflows, and AI agents into a single cohesive system with built-in observability and state management.
🔗 Repository URL: https://github.com/MotiaDev/motia
🌐 Website: https://motia.dev
📖 Readme: https://github.com/MotiaDev/motia#readme
📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 47
🍴 Forks: 471 forks
💻 Programming Languages: TypeScript - MDX - Python - JavaScript - CSS - Ruby
🏷️ Related Topics:
#javascript #ruby #python #api #framework #ai #backend #agi #developer_tools #agents #genai
==================================
🧠 By: https://t.iss.one/DataScienceM
❤6
🔥 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:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 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
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: sim
📝 Description: Sim is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.
🔗 Repository URL: https://github.com/simstudioai/sim
🌐 Website: https://www.sim.ai
📖 Readme: https://github.com/simstudioai/sim#readme
📊 Statistics:
🌟 Stars: 7.7K stars
👀 Watchers: 56
🍴 Forks: 1K forks
💻 Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Sim is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.
🔗 Repository URL: https://github.com/simstudioai/sim
🌐 Website: https://www.sim.ai
📖 Readme: https://github.com/simstudioai/sim#readme
📊 Statistics:
🌟 Stars: 7.7K stars
👀 Watchers: 56
🍴 Forks: 1K forks
💻 Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
🏷️ Related Topics:
#react #automation #typescript #ai #nextjs #chatbot #artificial_intelligence #gemini #openai #agents #low_code #no_code #rag #anthropic #deepseek #aiagents #agentic_workflow #agent_workflow
==================================
🧠 By: https://t.iss.one/DataScienceM
❤1
🔥 Trending Repository: sim
📝 Description: Sim is an open-source AI agent workflow builder. Sim's interface is a lightweight, intuitive way to rapidly build and deploy LLMs that connect with your favorite tools.
🔗 Repository URL: https://github.com/simstudioai/sim
🌐 Website: https://www.sim.ai
📖 Readme: https://github.com/simstudioai/sim#readme
📊 Statistics:
🌟 Stars: 11.6K stars
👀 Watchers: 68
🍴 Forks: 1.4K forks
💻 Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Sim is an open-source AI agent workflow builder. Sim's interface is a lightweight, intuitive way to rapidly build and deploy LLMs that connect with your favorite tools.
🔗 Repository URL: https://github.com/simstudioai/sim
🌐 Website: https://www.sim.ai
📖 Readme: https://github.com/simstudioai/sim#readme
📊 Statistics:
🌟 Stars: 11.6K stars
👀 Watchers: 68
🍴 Forks: 1.4K forks
💻 Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
🏷️ Related Topics:
#react #automation #typescript #ai #nextjs #chatbot #artificial_intelligence #gemini #openai #agents #low_code #no_code #rag #anthropic #deepseek #aiagents #agentic_workflow #agent_workflow
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: SurfSense
📝 Description: Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, Discord and more. Join our discord:https://discord.gg/ejRNvftDp9
🔗 Repository URL: https://github.com/MODSetter/SurfSense
🌐 Website: https://www.surfsense.net
📖 Readme: https://github.com/MODSetter/SurfSense#readme
📊 Statistics:
🌟 Stars: 6.7K stars
👀 Watchers: 46
🍴 Forks: 507 forks
💻 Programming Languages: Python - TypeScript - MDX - CSS - JavaScript - Dockerfile
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, Discord and more. Join our discord:https://discord.gg/ejRNvftDp9
🔗 Repository URL: https://github.com/MODSetter/SurfSense
🌐 Website: https://www.surfsense.net
📖 Readme: https://github.com/MODSetter/SurfSense#readme
📊 Statistics:
🌟 Stars: 6.7K stars
👀 Watchers: 46
🍴 Forks: 507 forks
💻 Programming Languages: Python - TypeScript - MDX - CSS - JavaScript - Dockerfile
🏷️ Related Topics:
#python #chrome_extension #slack #agent #jira #typescript #extension #ai #nextjs #agents #notion #perplexity #rag #fastapi #langchain #ollama #langgraph #nextjs15 #aceternity_ui #notebooklm
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: mcp-context-forge
📝 Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
🔗 Repository URL: https://github.com/IBM/mcp-context-forge
🌐 Website: https://ibm.github.io/mcp-context-forge/
📖 Readme: https://github.com/IBM/mcp-context-forge#readme
📊 Statistics:
🌟 Stars: 1.7K stars
👀 Watchers: 21
🍴 Forks: 215 forks
💻 Programming Languages: Python - HTML - JavaScript - Makefile - Go - Shell
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
🔗 Repository URL: https://github.com/IBM/mcp-context-forge
🌐 Website: https://ibm.github.io/mcp-context-forge/
📖 Readme: https://github.com/IBM/mcp-context-forge#readme
📊 Statistics:
🌟 Stars: 1.7K stars
👀 Watchers: 21
🍴 Forks: 215 forks
💻 Programming Languages: Python - HTML - JavaScript - Makefile - Go - Shell
🏷️ Related Topics:
#python #docker #kubernetes #devops #jwt #tools #ai #api_gateway #mcp #gateway #asyncio #federation #agents #observability #authentication_middleware #fastapi #prompt_engineering #generative_ai #llm_agents #model_context_protocol
==================================
🧠 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:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 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
==================================
🧠 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:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 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
==================================
🧠 By: https://t.iss.one/DataScienceM
❤1
Transformer implementations for vision, audio, and AI agents 🤖👁️🎵
Repo: https://github.com/Nicolepcx/transformers-the-definitive-guide
#AI #MachineLearning #Vision #Audio #Agents #Tech
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Repo: https://github.com/Nicolepcx/transformers-the-definitive-guide
#AI #MachineLearning #Vision #Audio #Agents #Tech
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Forwarded from Machine Learning with Python
A guide to Loop Engineering has been released — a new approach to working with AI agents
The repository loop-engineering has been published, offering a paradigm shift: instead of manually prompting AI agents, the developer designs a cycle that does this automatically. 🔄🤖
The author notes that most people still use Claude Code, Codex, Cursor, and Grok as a regular chat: prompt → wait → copy → correct → prompt again. Loop Engineering proposes to stop being a "nanny" for the agent and instead build a system where agents work, check, correct, and escalate on their own. 🛠️⚙️
The repository includes ready-made cycles for daily triage, PR, CI, dependencies, changelog, and issues. It includes CLI for creating cycles, evaluating tokens, auditing the repository, and safely running agents via GitHub Actions. 📋✅
"Prompt engineering was about how to write better prompts. Loop engineering is about creating a system where agents continue to work without your supervision at every step," the description says. 🚀🧠
The repository is available on GitHub.
Repository: https://github.com/cobusgreyling/loop-engineering
#LoopEngineering #AI #Agents #GitHub #DevOps #Automation
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The repository loop-engineering has been published, offering a paradigm shift: instead of manually prompting AI agents, the developer designs a cycle that does this automatically. 🔄🤖
The author notes that most people still use Claude Code, Codex, Cursor, and Grok as a regular chat: prompt → wait → copy → correct → prompt again. Loop Engineering proposes to stop being a "nanny" for the agent and instead build a system where agents work, check, correct, and escalate on their own. 🛠️⚙️
The repository includes ready-made cycles for daily triage, PR, CI, dependencies, changelog, and issues. It includes CLI for creating cycles, evaluating tokens, auditing the repository, and safely running agents via GitHub Actions. 📋✅
"Prompt engineering was about how to write better prompts. Loop engineering is about creating a system where agents continue to work without your supervision at every step," the description says. 🚀🧠
The repository is available on GitHub.
Repository: https://github.com/cobusgreyling/loop-engineering
#LoopEngineering #AI #Agents #GitHub #DevOps #Automation
✨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk
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❤4