awesome-ai-agent-builder

A curated list of frameworks, libraries, platforms, and tools to build AI agents — from developer-first toolkits to no-code platforms for non-technical users.

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🧠 What is an AI Agent?

An AI agent is an autonomous or semi-autonomous software entity powered by artificial intelligence, designed to perceive its environment, reason about goals, and take actions to achieve specific objectives — often through interaction with tools, APIs, or users.

🔑 Key Characteristics

• Goal-Oriented – Works toward specific tasks (e.g., summarizing text, booking meetings)
• Autonomous – Can operate with minimal or no human input
• Context-Aware – Uses memory, history, or input data for decision-making
• Tool-Using – Interacts with external tools, APIs, or databases
• LLM-Powered – Often driven by large language models (e.g., GPT, Claude, Mistral)

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🛠️ What is an AI Agent Builder?

An AI agent builder is a framework, platform, or toolkit that allows developers or non-developers to create, configure, and deploy AI agents. These tools typically support capabilities like prompt engineering, memory management, tool/plugin integration, and multi-agent orchestration.

⚙️ Common Features

• Prompt orchestration
• Function/tool calling
• Long-term and short-term memory
• Multi-agent workflows
• Visual or code-based interfaces
• LLMOps (logging, evaluation, feedback)

🧩 Types of Builders

Interface Type	Best For
Code-Centric (Developer-First Toolkits)	Developers needing full control
Low-Code (Platforms with Visual Interfaces and Code Access)	Technical users with visual UIs
No-Code (Non-Technical User Platforms)	Business users, fast prototyping

There isn’t a black-and-white line—many platforms lie along this visual-to-code spectrum, and a key way to classify them is by whether code is ever needed to unlock full potential.

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🤖 AI Agent Builder

🧑‍💻 Code-Centric

LangChain

• Repo: langchain-ai/langchain
• Description: Modular framework for developing LLM-powered applications. Supports chains, agents, tools, memory, and retrievers.
• 🔗 Related: #1

AutoGen

• Repo: microsoft/autogen
• Description: Multi-agent orchestration framework that enables LLM agents to collaborate with tools, humans, and each other.

CrewAI

• Repo: joaomdmoura/crewai
• Description: Developer-first agent framework with human-like roles and task assignment in multi-agent workflows.

Semantic Kernel

• Repo: microsoft/semantic-kernel
• Description: Plug-in architecture for combining LLMs with external functions, memory, and planners. Great for C#/Python users.

Haystack

• Repo: deepset-ai/haystack
• Description: Framework for building RAG pipelines with support for agents, memory, and document-based reasoning.

LangGraph

• Repo: langchain-ai/langgraph
• Description: State-machine extension of LangChain designed for building structured agent workflows.

OpenDevin

• Repo: OpenDevin/OpenDevin
• Description: Open-source dev assistant that writes code, runs commands, and interacts with files — like a CLI-native agent.

Transformers Agents

• Repo: huggingface/transformers
• Description: Native agent interface in Hugging Face Transformers that lets LLMs execute tools like calculators, image tools, and APIs.

Eino

• Repo: cloudwego/eino
• Description: An open-source, Go-native framework for building large-language-model applications and agents. Inspired by LangChain/LlamaIndex, it provides a strongly-typed component system, stream-based orchestration, and production-ready developer tooling.
• 🔗 Related: #12

🧩 Low-Code

Dify

• Repo: langgenius/dify
• Description: All-in-one LLM app platform with backend API, visual workflows, memory, and plugins.

Flowise

• Repo: FlowiseAI/Flowise
• Description: Visual editor for LangChain pipelines with support for agents, tools, and external APIs.

Relevance AI

• Website: relevanceai.com
• Description: Visual AI workflow platform supporting multi-agent orchestration, vector search, and analytics.

BerriAI

• Website: berriai.com
• Description: Low-code platform for building LLM apps and agents that query and summarize internal data.

Pipedream + LLMs

• Website: pipedream.com
• Description: Event-driven low-code platform with support for OpenAI, Claude, and Hugging Face integrations.

AnythingLLM

• Website: anythingllm.ai
• Description: Open-source, low-code platform for building private LLM chat agents with custom tools, API support, and vector memory.
• 🔗 Related: #4

Coze(扣子)

• Website: coze.com
• Description: An AI agent platform from ByteDance with a visual workflow editor and extensive plugin ecosystem for building, memory-enhanced, multi-agent bots without code. Developers can also write custom plugins or scripts.
• 🔗 Related: #11

阿里云百炼(Bailian / Alibaba Cloud Model Studio)

• Website: 阿里云百炼
• Description:
  企业级一站式大模型服务平台，提供大模型调用、智能体应用、工作流和智能体编排能力。

腾讯云智能体开发平台(Tencent Cloud Agent Development Platform)

• Website: cloud.tencent.com/product/tcadp
• Description:
  企业级智能体构建平台，提供 LLM+RAG、Workflow、Multi‑agent 等能力，结合 DeepSeek 系列大模型和知识库，支持可视化开发与安全部署。

🧑‍🎨 No-Code

AgentHub

• Website: agenthub.dev
• Description: Visual multi-agent builder for task orchestration, role assignment, and monitoring.

Zapier AI Actions

• Website: zapier.com/ai
• Description: No-code automation with LLM integration that connects over 6,000 SaaS apps.

ChatBot.com

• Website: chatbot.com
• Description: Conversational builder with AI/NLP features for customer service and support.

Tidio AI

• Website: tidio.com
• Description: No-code AI chatbot builder for e-commerce and customer support.