ERNIE SDK 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.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

The sandbox agent framework.

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

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.

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

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

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.

Harness engineering beginner tutorial, from 0 to 1

12 Lessons to Get Started Building AI Agents

A generative speech model for daily dialogue.

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