AI Agents
14 tools
AI agent platforms let you build LLM-powered agents that execute multi-step tasks: support, content generation, data analysis, coding. Three types: low-code platforms (Dify, Coze), dev frameworks (LangChain, CrewAI, AutoGen) and vertical apps. Selection criteria: model support (GPT/Claude/domestic), self-hosting options, plugin ecosystem, and hidden token-based costs.
MetaGPT
AI Agents
Multi-agent framework simulating a software company
FastGPT
AI Agents
Open-source knowledge-base QA platform
Lindy
AI Agents
AI assistant that automates tasks and workflows.
Devin
AI Agents
AI software engineer that autonomously writes and fixes code.
Manus
AI Agents
AI agent that turns ideas into actions.
Relevance AI
AI Agents
Build and manage AI agents and workflows without code.
AutoGPT
AI Agents
Autonomous AI agent platform for building and deploying agents.
Flowise
AI Agents
Build LLM apps and AI agents with a drag-and-drop interface.
Caddi
AI Agents
Agent that builds agents by only showing your work only once Discussion | Link
Dify
AI Agents
Open-source LLM app development platform
CrewAI
AI Agents
Multi-agent orchestration framework
Microsoft AutoGen
AI Agents
Multi-agent framework from Microsoft Research
LangChain
AI Agents
The default framework for LLM apps
Coze
AI Agents
ByteDance's no-code bot builder
FAQ
Low-code platform or dev framework?
Business teams validating use cases: Dify/Coze (live in a day). Deep customization or embedding into your systems: LangChain/CrewAI. Many teams use both — prototype in low-code, productionize on a framework.
Can AI agents replace customer support?
They handle 60-80% of standard queries (returns, lookups), but complex complaints and emotional cases still need humans. Use a hybrid model: AI answers first, escalates when unsure.
What hidden costs do agent platforms have?
Token fees (thousands of dollars monthly at scale), vector DB storage, and ongoing prompt-engineering effort.