Trigger.dev – build and deploy fully‑managed AI agents and workflows

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases

An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.

II-Agent: a new open-source framework to build and deploy intelligent agents

🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.

AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.

Self-host n8n on Google Cloud without the subscription fees or server headaches - because your automation workflows shouldn't cost more than your coffee budget

The functional, composable, and typescript-first AI Agent framework for real-world LLM Apps.

SwarmZero's SDK for building AI agents, swarms of agents and much more.

Run AI agents 24/7 on your Android phone. Native Rust core, 25+ providers (OpenAI, Claude, Gemini, Groq, DeepSeek, Ollama), encrypted key storage, plugin browser, Material You UI. Self-hosted alternative to Mac Mini setups. MIT licensed.

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

2000+ free N8N AI automation workflows. Discover, copy and use in your projects.

The original Tiny Claw as your personal autonomous AI companion. 🐜

An agent orchestration framework for economic agents

Create custom DevOps AI agents that understand and manage your infrastructure.

tinyAgent uniquely treats functions as first-class citizens, easily transforming them into powerful AI tools. Inspired by human organizational structures, it dynamically orchestrates specialized agents, balancing security and capability for complex tasks.

A declarative way to control LLMs.

Another curated list of Python frameworks

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.