Harness LLMs with Multi-Agent Programming
$ npx skills add langroid/langroidAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
历年ICLR论文和开源项目合集,包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.
Harness LLMs with Multi-Agent Programming
$ npx skills add langroid/langroidA programming framework for agentic AI
$ npx skills add microsoft/autogenA generative speech model for daily dialogue.
$ npx skills add 2noise/ChatTTS"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
$ npx skills add HKUDS/DeepCodePocket Flow: Codebase to Tutorial
$ npx skills add The-Pocket/PocketFlow-Tutorial-Codebase-KnowledgePocket Flow: 100-line LLM framework. Let Agents build Agents!
$ npx skills add The-Pocket/PocketFlowMaiSaka, 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/MaiBotThe RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
$ npx skills add areal-project/AReaL非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型, 以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜,也提供规模超200万的大模型缺陷库!方便广大社区研究分析、改进大模型。
$ npx skills add jeinlee1991/chinese-llm-benchmarkDemystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
$ npx skills add pguso/ai-agents-from-scratchSRE Agent - CNCF Sandbox Project
$ npx skills add HolmesGPT/holmesgptShip your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀
$ npx skills add stakpak/agent[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code
$ npx skills add AgentEra/AgentlyA Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
$ npx skills add THUDM/AgentBench总结Prompt&LLM论文,开源数据&模型,AIGC应用
$ npx skills add DSXiangLi/DecryptPromptBuild reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
$ npx skills add emcie-co/parlantHow 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 ICLR2025 Papers With Code 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.