Repository History
8 repositories tagged with agentic-ai
OpenMontage: The First Open-Source, Agentic Video Production System
OpenMontage is the world's first open-source, agentic video production system, designed to transform your AI coding assistant into a full video production studio. It features 12 pipelines, 52 tools, and over 500 agent skills, enabling end-to-end video creation from a simple prompt. This powerful tool handles research, scripting, asset generation, editing, and final composition, including the unique ability to produce real video from stock footage.
Loop Engineering: Orchestrating AI Agents with Practical Patterns and Tools
Loop Engineering is a GitHub repository offering practical patterns, starters, and CLI tools for building robust AI coding agent systems. It shifts the focus from individual prompt crafting to designing control systems that orchestrate agents over time. This project empowers developers to create autonomous, iterative AI workflows for various development tasks.
GLM-5: Flagship Models for Long-Horizon Agentic Engineering
GLM-5 is a series of flagship models, including GLM-5.2, GLM-5.1, and GLM-5, developed by zai-org for complex systems engineering and long-horizon agentic tasks. These models offer advanced coding capabilities, impressive context lengths, and state-of-the-art performance on various benchmarks. They are designed to sustain effective problem-solving over extended sessions through iterative reasoning and strategy revision.
Claude Code System Prompts: Deconstructing Agentic AI Coding Assistants
This repository offers a deep dive into the inner workings of modern agentic AI coding assistants. It reconstructs prompt patterns, agent coordination strategies, and security mechanisms, providing insights into how tools like Claude Code operate. The project serves as a valuable resource for understanding the architectural patterns behind these advanced AI systems.
AutoGen: A Programming Framework for Agentic AI
AutoGen is a versatile programming framework from Microsoft designed for building multi-agent AI applications. It empowers AI agents to operate autonomously or collaborate seamlessly with human users, streamlining the execution of complex tasks. The framework offers a layered, extensible design, providing both high-level APIs for rapid prototyping and low-level components for fine-grained control.
mini-swe-agent: The Minimal AI Agent for Solving GitHub Issues
mini-swe-agent is a remarkably simple yet powerful AI agent, comprising just 100 lines of Python code. It's designed to solve GitHub issues and assist in command-line tasks, achieving over 74% on the SWE-bench verified benchmark. This project offers a radically simple approach to AI-driven software engineering, avoiding complex configurations and large monorepos.
joinly: Make Your Meetings Accessible to AI Agents
joinly.ai is an open-source connector middleware designed to integrate AI agents into video calls. It enables agents to actively participate, interact in real-time, and perform tasks during meetings across platforms like Google Meet, Zoom, and Microsoft Teams. The project emphasizes a privacy-first approach, offering self-hosting capabilities and flexibility with various LLM, TTS, and STT providers.
MaxKB: Open-Source Platform for Enterprise-Grade AI Agents
MaxKB is a powerful, open-source platform designed for building enterprise-grade AI agents. It features integrated Retrieval-Augmented Generation (RAG) pipelines, robust workflow orchestration, and advanced MCP tool-use capabilities. This platform is ideal for intelligent customer service, corporate knowledge bases, and academic applications.