📖 The AI Tool Bible

Hermes Agent vs LangGraph

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Hermes Agent
Agents
LangGraph
Agents
TaglineOpen-source multi-channel AI agent with persistent memory, scheduling, and subagent delegation from Nous Research.Stateful, graph-based agent orchestration from LangChain.
CategoryAgentsAgents
PricingFreemium· MIT-licensed self-host free; managed Portal tiers Free/Plus/Super/Ultra with creditsFreemium· Free open-source; LangGraph Platform paid
ModelMulti-model (300+ via Nous Portal)BYO (Claude / GPT / open)
Editorial score—8.8 / 10
Use cases
personal-assistanttask-automationmulti-channel-chatscheduled-jobssubagent-orchestration
stateful agentshuman-in-loopproduction
Pros
  • MIT-licensed and fully self-hostable
  • Works across Telegram, Discord, Slack, WhatsApp, Signal, email and CLI
  • Persistent memory plus auto-generated skills per project
  • Five execution backends with container and namespace isolation
  • Natural-language scheduling and subagent delegation built in
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Cons
  • Early version (v0.17.0) so APIs and skills churn
  • Multi-backend setup is heavier than a single-channel chatbot
  • Managed Portal credits required for the easiest path to 300+ models
  • Steeper learning curve than CrewAI
  • Verbose to set up
Websitehermes-agent.nousresearch.comwww.langchain.com
Pick Hermes Agent if
  • ✅ MIT-licensed and fully self-hostable
  • ✅ Works across Telegram, Discord, Slack, WhatsApp, Signal, email and CLI
  • ✅ Persistent memory plus auto-generated skills per project
  • ✅ Five execution backends with container and namespace isolation
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
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