OSRepos - Open Source Repository Analytics

vibe-kanban-local is a robust, local-only fork of the original BloopAI/vibe-kanban project, maintained after its upstream sunset. It provides a self-contained, single-user kanban board, allowing developers to integrate over ten different AI coding agents directly into their workflow without any cloud dependencies or logins. This tool is ideal for enhancing productivity with AI assistance in a pri…

Ferry is an innovative GitHub Actions-native agent pipeline designed to automate your development workflow. It seamlessly integrates with Jira, transforming column moves into reviewed draft pull requests without requiring any server or daemon. This tool empowers teams to achieve a fully autonomous development loop, from ticket refinement to merged PRs.

agent-plugins is a tool-neutral marketplace offering ready-to-install bundles that enhance AI coding assistants. It provides curated skills, tool connections, and specialist roles for developers using VS Code, GitHub Copilot CLI, or Claude Code. This repository simplifies the process of integrating advanced AI capabilities into your development workflow.

ai-outfitter/actions is a GitHub Action that allows you to run Outfitter profiles headless within your CI/CD workflows. This enables the creation of scheduled or event-driven AI agents for tasks like code reviews, task completion, and auditing. It integrates seamlessly with GitHub's event system, transforming your workflows into powerful agentic automation tools.

Awesome Harness Engineering is a comprehensive curated list dedicated to the discipline of designing robust AI agent harnesses. It offers a wealth of resources, patterns, and templates essential for building reliable AI agent systems. Developers can explore tools, best practices, and foundational concepts across various critical areas of agent development.

RyanAlberts' Best of Agent Harnesses is a comprehensive, curated, and ranked list of over 100 AI agent harnesses and orchestration frameworks. It provides valuable insights for building reliable agentic systems, offering both human-readable guides and machine-readable formats for agents themselves. The repository is rescored weekly to ensure up-to-date recommendations.

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 a…

opencode-worktree is an OpenCode plugin designed to streamline git worktree management. It automates the creation and deletion of isolated development environments, complete with terminal spawning and file synchronization. This tool is ideal for AI-driven workflows, offering a zero-friction experience for developers who prioritize automation and efficiency.

Ralph Orchestrator is a robust, Rust-based framework designed for autonomous AI agent orchestration. It implements the innovative "Ralph Wiggum technique," a methodology focused on continuous iteration to ensure AI agents complete complex tasks effectively. This powerful tool supports multiple AI backends and offers features like a "hat system" for specialized personas and human-in-the-loop inter…

AgentFS is an innovative filesystem specifically engineered for AI agents, providing robust storage abstractions. It leverages SQLite to offer auditability, reproducibility, and portability for agent states, tool calls, and file operations. This solution simplifies debugging, analysis, and deployment of AI agents by encapsulating their entire runtime into a single, queryable database file.

CQ is an open standard designed to prevent AI agents from repeatedly making the same mistakes by enabling them to persist, share, and query collective knowledge. It facilitates a structured exchange of ideas, allowing agents to learn from each other's experiences and accelerate development. This system helps agents avoid redundant debugging and discover solutions more efficiently.

Otari, from Mozilla AI, is an open-source, self-hosted LLM gateway. It provides a single OpenAI-compatible endpoint to connect with over 40 model providers, offering features like virtual keys, budget enforcement, and usage tracking. This solution empowers users to manage their AI stack with greater control and flexibility.

SandBase CLI is an open-source command-line interface and local MCP server that supercharges AI agents. It connects 25 popular AI clients, such as Claude Code, Cursor, and ChatGPT, to over 2,000 AI models and APIs, simplifying complex integrations. This powerful tool streamlines AI agent development by offering a unified gateway, removing the hassle of API key management and configuration.

Tessera is a powerful workspace for organizing AI coding sessions, acting as a local control room for agents like Claude Code, Codex, and OpenCode. It enables parallel sessions, isolated Git worktrees, and Kanban boards, streamlining complex AI development workflows. Developers can manage agents, track tasks, and complete Git operations all within one integrated environment.

OGAD (Off Grid AI Desktop) is an open-source, AGPL-licensed application for private, on-device AI. It enables users to run various open models, including text, vision, image, and voice, entirely locally through a single OpenAI-compatible gateway. This ensures complete data privacy with no cloud dependencies, accounts, or API keys.

agent.cpp provides essential building blocks for developing local AI agents using C++. It leverages llama.cpp to enable efficient execution of small language models directly on your hardware. This library offers a modular approach with features like agent loops, callbacks, tools, and grammar-constrained output, making it ideal for creating custom, privacy-focused agent solutions.

Wasm Agents Blueprint is an innovative project from Mozilla AI that allows you to run Python-based AI agents directly in your web browser using WebAssembly (Wasm) and Pyodide. It bridges the gap between powerful Python AI frameworks, like the OpenAI Agents SDK, and browser-based applications. This blueprint eliminates the need for complex server setups or Docker containers, offering a streamlined…

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.

EnvHarness empowers large language models (LLMs) acting as autonomous agents to learn more effectively from interactive environments. It achieves this by wrapping static environments with plug-in components, making them dynamically controllable without altering their internal code. This innovative approach allows environments to target specific agent weaknesses and continuously teach as agents im…

agenttrail provides a local, open-source observability layer for AI coding agents. It transforms agent plans, tool calls, and file changes from tools like Claude Code, OpenAI Codex, and Cursor into a live, zoomable project map. This allows developers to monitor agent progress and activity in real time, ensuring they know what their agents are doing as it happens.