Flowise vs hermes-agent
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.; hermes-agent: Hermes Agent is a self-improving AI agent from Nous Research with a built-in learning loop: it creates skills after complex tasks, improves them during use, searches its own past sessions and builds a model of the user over time. It works with any model provider, talks through a terminal UI or Telegram, Discord, Slack, WhatsApp and Signal, and runs on local, Docker, SSH or serverless backends.
TL;DR
- 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.
- 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.
A personal assistant on a cheap VPS that you talk to from Telegram
Side-by-Side Comparison
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