Repository History
37 repositories tagged with agent
Memoh: An Open-Source Multi-Agent Platform with Dedicated AI Workspaces
Memoh is an innovative open-source multi-agent platform designed to provide each AI agent with its own dedicated cloud computer. This includes a filesystem, desktop, browser, network, and persistent long-term memory, ensuring agents remain online 24/7. Users can integrate their own API keys or host existing AI models, fostering a versatile and always-on environment for AI development and deployment.
Graphon: A Python Graph Execution Engine for Agentic AI Workflows
Graphon is an innovative Python-based graph execution engine designed for building agentic AI workflows. It provides a robust framework for orchestrating complex AI tasks, featuring event-driven execution, graph validation, and shared runtime state. This evolving repository already includes a functional engine, built-in nodes, and end-to-end examples for developers.
Open Code Review: AI-Powered Code Review Tool from Alibaba
Open Code Review is an AI-powered command-line interface tool for code review, battle-tested at Alibaba's scale. It leverages a hybrid architecture, combining deterministic engineering with an LLM agent, to provide secure, fast, and efficient code analysis. This tool generates precise, line-level comments and supports a multi-language ruleset, ensuring high-quality code reviews.
Awesome-Self-Evolving-Agents: A Curated List for AI Agent Research
Awesome-Self-Evolving-Agents is a comprehensive GitHub repository offering a curated collection of resources on self-evolving agents. It includes a systematic survey, research papers, benchmarks, and open-source projects, providing valuable insights into this rapidly advancing field of AI. This repository serves as an essential guide for researchers and developers exploring model-centric, environment-centric, and co-evolutionary approaches.
open-slide: An AI-Native Slide Framework for React Presentations
open-slide is a powerful slide framework built for AI agents, enabling users to create presentations by describing them in natural language. Coding agents then generate the React components, while open-slide handles the canvas, scaling, navigation, and presentation modes. This allows agents to focus entirely on content, streamlining the creation of polished, agent-driven decks.
best-skills: Daily-Updated Rankings for Top Agent Skills
The LinklyAI/best-skills repository offers daily-updated rankings of the top 100 agent skills. It aggregates data on installs, growth, and social buzz from various platforms like skills.sh, ClawHub, Tencent SkillHub, GitHub, and X. This open-data project provides a comprehensive, cross-ecosystem view of agent skill performance, making it an invaluable resource for developers and researchers.
Context Engineering Kit: Enhance AI Agent Quality with Advanced Skills
The Context Engineering Kit is a powerful collection of hand-crafted Claude Code Skills designed to significantly improve the quality and predictability of AI agent results. It offers advanced context engineering techniques with a minimal token footprint, ensuring efficiency and effectiveness across platforms like OpenCode, Cursor, and Gemini CLI. This kit provides granular control over plugins and includes an open-source alternative to CodeRabbit, enhancing development workflows.
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.
Agent-Sandbox: Enterprise-Grade Sandbox for AI Agents on Kubernetes
Agent-Sandbox provides an easy-to-use, enterprise-grade sandbox platform for AI Agents. It allows agents to securely run untrusted LLM-generated code, perform browser and computer use, and deploy websites with multi-session and multi-tenant isolation. This self-hosted solution wraps a robust Kubernetes foundation behind a simple RESTful API, making it accessible for developers.
awesome-a2a: A Curated List of Agent2Agent (A2A) Resources
The awesome-a2a repository is a comprehensive, curated list of Agent2Agent (A2A) protocol servers, clients, tools, and frameworks. It serves as a central hub for developers looking to explore and build interoperable AI agent systems. This resource helps in discovering various A2A-compliant implementations and related utilities.
AgentSkills: A Curated Collection for LLM Agent Skills and Resources
AgentSkills is an extensive curated collection of resources, papers, tools, projects, and frameworks focused on building and deploying skills for large language models. This repository serves as a central hub for understanding the LLM skills ecosystem, from Anthropic's official systems to academic research and open-source agent frameworks. It is an invaluable resource for anyone exploring the rapidly evolving field of AI agents.