Director alternatives for AI agents.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Automated Penetration Testing Agentic Framework Powered by Large Language Models

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Vane is an AI-powered answering engine.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Universal memory layer for AI Agents

The agent engineering platform.

Build resilient agents.

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

🌐 Make websites accessible for AI agents. Automate tasks online with ease.