Open-Source AI · AI agent framework

LangGraph vs Eliza

LangGraph vs Eliza compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful, controllable agent graphs vs Agents with personality for Discord, X and more.

Updated regularly · curated by OpenSourceAI.tech

Choose LangGraph for developers needing controllable agent workflows. Choose Eliza for character-driven agents living on social platforms.

LangGraph vs Eliza at a glance

SpecLangGraphEliza
CategoryAI agent frameworkAI agent framework
TypeAgent orchestration (graphs)Agent framework (TS)
LicenseMITMIT
Runs locallyCloud-optionalPartial
Primary languagePython / JSTypeScript
Ease of useAdvancedIntermediate
Best fordevelopers needing controllable agent workflowscharacter-driven agents living on social platforms
GitHub stars37.1k18.7k

Feature comparison

FeatureLangGraphEliza
Multi-agent
Tool / function calling
Code execution
Memory
Human-in-the-loop
Graph control

How LangGraph and Eliza score

🤝 Too close to call — LangGraph and Eliza land within a hair (4.0 vs 4.1 / 5). Pick on fit, not on score.
CriterionLangGraphEliza
Popularity4.03.5
Maintenance5.05.0
Ease of use2.53.5
Privacy3.53.5
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 →

Eliza

Agent framework (TS) · MIT

elizaOS is a TypeScript framework for autonomous agents with personas, memory and connectors to Discord, X and Telegram — the framework behind many social AI agents.

  • Personas and long-term memory out of the box
  • Native Discord, X and Telegram connectors
  • Huge plugin ecosystem in TypeScript
See the Eliza page →

Key differences

LangGraph is agent orchestration (graphs), while Eliza is agent framework (TS). LangGraph leans more advanced-friendly, whereas Eliza is more suited to intermediate users. They also differ in how they run (Cloud-optional vs Partial). In short, LangGraph fits developers needing controllable agent workflows, and Eliza fits character-driven agents living on social platforms.

Which should you choose?

Choose LangGraph for developers needing controllable agent workflows. Choose Eliza for character-driven agents living on social platforms.

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 Eliza easier to use?

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

Are LangGraph and Eliza free?

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

Can I run LangGraph and Eliza locally?

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

LangGraph vs Eliza — which should I pick in 2026?

Choose LangGraph for developers needing controllable agent workflows. Choose Eliza for character-driven agents living on social platforms.

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