#1
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
17K starsJun 17, 2026 pushagent-frameworksPythonLLM
$ npx skills add camel-ai/camelAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A general AI agent framework that can be adapted to various tasks and environments.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
$ npx skills add camel-ai/camelAutomated Penetration Testing Agentic Framework Powered by Large Language Models
$ npx skills add GreyDGL/PentestGPTAn 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.
$ npx skills add bytedance/deer-flowUniversal memory layer for AI Agents
$ npx skills add mem0ai/mem0An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
$ npx skills add google/adk-pythonOpenViking 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.
$ npx skills add volcengine/OpenVikingA framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
$ npx skills add microsoft/agent-frameworkThe RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
$ npx skills add areal-project/AReaLEnd-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
$ npx skills add NirDiamant/agents-towards-productionHarness engineering beginner tutorial, from 0 to 1
$ npx skills add walkinglabs/learn-harness-engineeringBash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
$ npx skills add shareAI-lab/learn-claude-codeTencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
$ npx skills add Tencent/TencentDB-Agent-MemoryA programming framework for agentic AI
$ npx skills add microsoft/autogenA generative speech model for daily dialogue.
$ npx skills add 2noise/ChatTTSThe sandbox agent framework.
$ npx skills add withastro/fluePocket Flow: Codebase to Tutorial
$ npx skills add The-Pocket/PocketFlow-Tutorial-Codebase-KnowledgeHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Aeiva if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.