Open-Source AI · AI agent framework

LangGraph vs Hermes Agent

LangGraph vs Hermes Agent compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful, controllable agent graphs vs An agent that keeps what it learns from you.

Updated regularly · curated by olud.ai

Choose LangGraph for developers needing controllable agent workflows. Choose Hermes Agent for developers building an agent meant to be lived with, not called once.

LangGraph vs Hermes Agent at a glance

SpecLangGraphHermes Agent
CategoryAI agent frameworkAI agent framework
TypeAgent orchestration (graphs)Autonomous agent (Python)
LicenseMITMIT
Runs locallyCloud-optionalYes
Primary languagePython / JSPython
Ease of useAdvancedIntermediate
Best fordevelopers needing controllable agent workflowsdevelopers building an agent meant to be lived with, not called once
GitHub stars40.8k239k

How LangGraph and Hermes Agent score

🏆 Overall edge: Hermes Agent — 4.7 vs 4.0 / 5
CriterionLangGraphHermes Agent
Popularity4.05.0
Maintenance5.05.0
Ease of use2.53.5
Privacy3.55.0
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

LangGraph

Agent orchestration (graphs) · MIT

LangGraph is a library for building stateful, controllable agents as graphs, giving you fine-grained control over loops, branching and persistence.

  • Explicit, controllable agent state machines
  • Persistence and human-in-the-loop built in
  • Integrates with the LangChain ecosystem
See the LangGraph page →

Hermes Agent

Autonomous agent (Python) · MIT

Hermes Agent from Nous Research is an autonomous agent built to accumulate context over time rather than start from zero at each session, so its usefulness compounds with use.

  • Carries context forward between sessions
  • MIT licence with no usage restriction
  • Backed by a research lab with a track record on open weights
See the Hermes Agent page →

Key differences

LangGraph is agent orchestration (graphs), while Hermes Agent is autonomous agent (Python). LangGraph leans more advanced-friendly, whereas Hermes Agent is more suited to intermediate users. They also differ in how they run (Cloud-optional vs Yes). In short, LangGraph fits developers needing controllable agent workflows, and Hermes Agent fits developers building an agent meant to be lived with, not called once.

Which should you choose?

Choose LangGraph for developers needing controllable agent workflows. Choose Hermes Agent for developers building an agent meant to be lived with, not called once.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is LangGraph or Hermes Agent easier to use?

Hermes Agent is generally the easier of the two to get started with, while LangGraph rewards more setup with more control.

Are LangGraph and Hermes Agent free?

LangGraph is free and open source (MIT), and Hermes Agent is free and open source (MIT). Neither charges for the core software.

Can I run LangGraph and Hermes Agent locally?

LangGraph: cloud-optional · Hermes Agent: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

LangGraph vs Hermes Agent — which should I pick in 2026?

Choose LangGraph for developers needing controllable agent workflows. Choose Hermes Agent for developers building an agent meant to be lived with, not called once.

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