"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
$ npx skills add HKUDS/DeepCodeAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
xLAM: A Family of Large Action Models to Empower AI Agent Systems
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
$ npx skills add HKUDS/DeepCodeMaiSaka, an LLM-based intelligent agent, is a digital lifeform devoted to understanding you and interacting in the style of a real human. She does not pursue perfection, nor does she seek efficiency; instead, she values warmth, authenticity, and genuine connection.
$ npx skills add Mai-with-u/MaiBotA Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
$ npx skills add THUDM/AgentBenchFramework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
$ npx skills add crewAIInc/crewAIOctoTools: An agentic framework with extensible tools for complex reasoning
$ npx skills add octotools/octotoolsThe LLM Anti-Framework
$ npx skills add Mirascope/mirascopeThe llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
$ npx skills add Maximilian-Winter/llama-cpp-agentAIlice is a fully autonomous, general-purpose AI agent.
$ npx skills add myshell-ai/AIliceA repo lists papers related to LLM based agent
$ npx skills add AGI-Edgerunners/LLM-Agents-Papers👾 Open source implementation of the ChatGPT Code Interpreter
$ npx skills add shroominic/codeinterpreter-apiThe RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
$ npx skills add areal-project/AReaLBub it. Build it. A hook-first runtime for agents that live alongside people.
$ npx skills add bubbuild/bubOfficial Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
$ npx skills add xingyaoww/code-act"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
$ npx skills add HKUDS/AutoAgent🔥 A list of tools, frameworks, and resources for building AI web agents
$ npx skills add steel-dev/awesome-web-agentsA simple yet powerful agent framework that delivers with open-source models
$ npx skills add TencentCloudADP/youtu-agentHow 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 XLAM 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.