Repository History
16 repositories tagged with agentic-ai
RimZ: Realtime Dashboard for Agentic Coding with tmux and Zellij
RimZ is a powerful realtime dashboard and control room designed for agentic coding, enabling humans and AI agents to collaborate seamlessly within tmux or Zellij environments. Built with Rust, it provides comprehensive observability, orchestration, and automation capabilities for managing fleets of coding agents. This tool enhances productivity by offering real-time insights, message-based steering, and scriptable workflows for AI-driven development.
Awesome-Self-Improving-Agents: A Curated List for Agentic AI Self-Improvement
Awesome-Self-Improving-Agents is a comprehensive GitHub repository featuring a curated and continuously updated list of resources on self-improvement in foundation model-based agentic systems. It serves as a central hub for researchers and practitioners, offering papers, benchmarks, and various media. This resource is essential for anyone exploring the cutting edge of self-evolving AI agents.
Agent Factory: Generate AI Agents with Natural Language Descriptions
Agent Factory, developed by Mozilla-AI, is a powerful tool designed to generate AI agents and workflows. It allows users to describe tasks in natural language, which it then transforms into executable Python code for agentic workflows. Leveraging the Model Context Protocol (MCP) and the any-agent library, it simplifies the creation of complex AI solutions.
TrueForge: The Open-Source Agent Harness for LLM-Powered Agents
TrueForge is an open-source agent harness designed to transform large language models (LLMs) into fully functional agents. It provides the essential runtime layer, handling complex aspects like streaming, session persistence, tool servers, and sandboxing. Developers can leverage TrueForge to build and deploy robust, scalable AI agents with ease.
Google Skills: Agent Skills for Google Products and Technologies
The `google/skills` repository offers a comprehensive collection of Agent Skills designed for Google products and technologies, including Google Cloud. It enables developers to easily integrate and leverage pre-built functionalities for various tasks, from infrastructure management to advanced AI/ML solutions. This resource streamlines the development of agentic applications within the Google ecosystem, providing a robust foundation for innovation.
mcp-gateway: Unifying AI Tool Access with Reduced Context Overhead
mcp-gateway is a powerful Rust binary designed to streamline AI agent interaction with diverse tools. It consolidates unlimited MCP servers and REST APIs behind a single, compact endpoint, drastically reducing context token overhead and enabling efficient tool access.
Ruflo: The Agent Meta-Harness for Intelligent AI Swarms
Ruflo, formerly Claude Flow, is an advanced agent meta-harness designed to deploy intelligent multi-player swarms and coordinate autonomous AI workflows. It enhances AI models like Claude Code and Codex with adaptive memory, self-learning intelligence, RAG integration, and robust enterprise security features. This powerful framework enables agents to self-organize, learn from tasks, and securely collaborate across different machines.
AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development
The AI-Agents-Projects-Tutorials repository offers an extensive collection of code implementations and tutorials for building advanced AI agents. It covers fundamental concepts such as multi-agent systems, memory management, planning, and reasoning loops. This resource is ideal for developers and researchers seeking practical insights into agentic AI development.
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.