AI Agents GitHub Repositories (2026) · Open Source Tools

A practical library of agents, instructions, and skills designed specifically for QA Automation Engineers, focusing on production-oriented solutions.

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

Incremental engine for long horizon agents 🌟 Star if you like it!

A terminal-first agentic development environment for agentic coding. Build for CLI/TUI agent. Runtime for Coding Agent, Tmux alternative

Coordinate your models from Codex. Plan, delegate, use host tools, and review work across workspaces. Formerly Astra Flash Orchestrator.

Community edition of RepoPrompt: a native macOS context engineering app for AI coding agents, with an MCP CLI.

A disposable copy of your production stack for every pull request: masked Postgres, contained third-party APIs, and agents that use your app like people.

Conecte seu WhatsApp aos seus agentes de IA por MCP — gateway em Go self-hosted, com painel de controle, índice de mensagens e instalação guiada passo a passo, fácil o bastante para quem não é técnico.

Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.

Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.

Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP.

One AI agent, everywhere you work — terminal, desktop, mobile, and your chat apps. Rust core.

Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory

Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.

Adobe Skills for Agents

Kane CLI by TestMu AI (Formerly LambdaTest)

The governed runtime for Python agents you can let act: policy on every action, durable runs, sandboxes, budgets, and the evidence of every run.

Open Managed Agents — an open-source alternative to Claude Managed Agents and OpenAI Agents API. Deploy with Node.js or Docker, run on Cloudflare, or use hosted OpenMA. Choose your models, harnesses and sandboxes.

A native macOS terminal app built on Ghostty for running and supervising coding agents