Flowise
★ 55.5k
vs
ai-agents-from-scratch
★ 4.9k
Flowise vs ai-agents-from-scratch
Flowise: Flowise is an open-source low-code tool for building custom AI agents and LLM applications. It provides a drag-and-drop UI to easily construct complex AI workflows visually.; ai-agents-from-scratch: This repository teaches you to build AI agents from first principles using local LLMs and node-llama-cpp, emphasizing a deep understanding of agent fundamentals before using production frameworks. It guides learners through building agent components like tools, memory, and reasoning patterns, culminating in rebuilding core LangChain and LangGraph concepts.
01
TL;DR
FlowiseWorkflow Automation · ★ 55.5k
When to choose:
- You want an intuitive visual drag-and-drop canvas for building LangChain/LlamaIndex agents, multi-agent workflows, and RAG pipelines without code.
- You need an embeddable chat widget, API endpoints, and a low-code UI for rapid AI application prototyping.
When to skip:
- You need a long-term actively maintained project; the Flowise repository was archived in August 2026 and reached end-of-life.
- You require code-first, type-safe Python orchestration with deterministic checkpointing; Pydantic AI or Temporal are better choices.
ai-agents-from-scratchDev Tooling · ★ 4.9k
Educational resource for AI agent development fundamentals.
02
Side-by-Side Comparison
Field
Category
Workflow Automation
Dev Tooling
Stars
★ 55.5k
★ 4.9k
License
NOASSERTION
MIT
Install Command
npm install -g flowise
npm install
Updated
2mo ago
3mo ago
Open Source
Yes
Yes
Tags
AI Agents, Visual Programming, LLM
AI Agents, Node.js, JavaScript
03
Features
01Visual drag-and-drop interface for building AI agents and LLM apps.
02Supports a wide range of LLMs, embeddings, and tools through component integrations.
03Enables low-code/no-code development for rapid AI application creation.
04Flexible self-hosting options across various cloud providers and platforms.
05Modular architecture with distinct server, UI, and component packages.
01Building AI agents from scratch with local LLMs.
02Understanding fundamental LLM concepts and inference pipelines.
03Implementing tool use, memory management, and reasoning patterns (ReAct, AoT).
04Learning to optimize agent performance (batch processing, streaming).
05Rebuilding core abstractions of LangChain and LangGraph frameworks.
04
Use Cases
↳Rapidly prototyping and developing LLM-powered applications.
↳Creating custom AI chatbots and conversational interfaces.
↳Integrating advanced AI capabilities into existing software systems.
↳Educational resource for AI agent development fundamentals.
↳Deepening understanding of existing AI agent frameworks like LangChain.
↳Developing custom AI agent solutions from first principles.
FAQ
FAQ
What is the difference between Flowise and ai-agents-from-scratch?
Both Flowise and ai-agents-from-scratch are in the Workflow Automation category. Flowise has 55.5k stars, while ai-agents-from-scratch has 4.9k stars.
Which is better, Flowise or ai-agents-from-scratch?
The best choice depends on your use case. Choose Flowise if Rapidly prototyping and developing LLM-powered applications., and ai-agents-from-scratch if Educational resource for AI agent development fundamentals..
Is Flowise free or open source?
Yes, Flowise is open source on GitHub (NOASSERTION).
Is ai-agents-from-scratch free or open source?
Yes, ai-agents-from-scratch is open source on GitHub (MIT).
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