LangGraph vs OpenJarvis
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. OpenJarvis is completely free, while LangGraph is freemium.
At a glance
Best for
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Graph-based agent design
- Persistent state
- Human-in-the-loop
- Streaming
- Python and JavaScript
- Local-first agent runtime
- Morning digest preset
- Deep research agent
- Skill imports
- Energy and cost benchmarks
| Feature | LangGraph | OpenJarvis |
|---|---|---|
| Best for | Low-level framework for building stateful, controllable agents | Open-source framework for personal AI agents that run on your own device |
| Category | Agents & automation | Agents & automation |
| Pricing model | Freemium | Free |
| Starting price | $39/mo | Free |
| Free plan | Yes | Yes, fully free |
| Made by | LangChain | Stanford Hazy Research |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
OpenJarvis is completely free, while LangGraph is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Developer
Free
- 1 seat
- 5k base traces / month, then pay as you go
- Community support
Plus
$39/mo
- Per seat
- 10k base traces / month, then pay as you go
- Access to Deployment and Engine
- Unlimited seats
Enterprise
Custom
- Self-hosted and hybrid deployment
- Custom SSO, ABAC and RBAC
- Support SLA
1 plan
Open source
Free
- Apache 2.0 license
- Runs on your own hardware
- Optional cloud model engines
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
LangGraph
- Fine control over agent behavior
- Strong persistence model
- Widely used in production
- Steeper learning curve
- More code than no-code builders
OpenJarvis
- Free and Apache 2.0 licensed
- Runs on local models by default
- Ready-made presets for common agents
- Browser GUI from source needs Node.js 22+
- Larger local models need strong hardware
- Young project, so features change often
Which one should you choose?
Choose LangGraph if you want:
- Fine control over agent behavior
- Strong persistence model
- Widely used in production
Watch out: steeper learning curve.
Choose OpenJarvis if you want:
- Free and Apache 2.0 licensed
- Runs on local models by default
- Ready-made presets for common agents
Watch out: browser gui from source needs node.js 22+.
LangGraph vs OpenJarvis FAQ
What is the difference between LangGraph and OpenJarvis?
LangGraph: Low-level framework for building stateful, controllable agents. OpenJarvis: Open-source framework for personal AI agents that run on your own device. Both are agents & automation tools.
Is LangGraph or OpenJarvis cheaper?
OpenJarvis is completely free, while LangGraph is freemium.
Do LangGraph and OpenJarvis have free plans?
LangGraph: Yes. OpenJarvis: Yes, fully free.
Who makes LangGraph?
LangGraph is made by LangChain, based in United States.
Who makes OpenJarvis?
OpenJarvis is made by Stanford Hazy Research, based in United States.
Which should I choose, LangGraph or OpenJarvis?
Choose LangGraph if you value fine control over agent behavior and strong persistence model. Choose OpenJarvis if you value free and apache 2.0 licensed and runs on local models by default.