Inalpha alternatives for AI agents.

Automated Penetration Testing Agentic Framework Powered by Large Language Models

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

Pocket Flow: Codebase to Tutorial

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.

The agent that grows with you

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

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

Universal memory layer for AI Agents

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.

Lightweight, open-source AI agent for your tools, chats, and workflows.

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

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Browser Harness | Self-healing harness that enables LLMs to complete any task.

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

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.