A head-to-head comparison of ElizaOS and Rig — pricing, the features that actually differ, and which one fits which use case.
The most widely adopted open-source AI agent framework in crypto
High-performance Rust framework for building LLM-powered agents
These are the 2 capabilities where the two tools genuinely diverge — the rest of their feature sets overlap.
| Capability | ElizaOS | Rig |
|---|---|---|
| Multi Platform | Yes | No |
| Character System | Yes | No |
| Feature | ElizaOS | Rig |
|---|---|---|
| On Chain Execution | ✓ | ✓ |
| Multi Platform | ✓ | ✗ |
| Multi Model Support | ✓ | ✓ |
| Autonomous Trading | ✓ | ✓ |
| Dao Governance | ✗ | ✗ |
| Open Source | ✓ | ✓ |
| Character System | ✓ | ✗ |
| Plugin System | ✓ | ✓ |
| Memory Persistence | ✓ | ✓ |
| Self Hosted | ✓ | ✓ |
Both tools are free to use — costs come from network or usage fees.
ElizaOS
Free
Rig
Free
Watch out: A developer framework — requires coding.
Watch out: Rust has a steep learning curve.
ElizaOS edges ahead on our editorial score (4.6/5), but these tools aren’t straight substitutes. Pick ElizaOS when most widely adopted agent framework (~60% share) matters most to your workflow; pick Rig when high performance via rust foundation is the priority. The deciding factor is usually the trade-off you can least afford — ElizaOS means accepting that a developer framework — requires coding, while Rig means rust has a steep learning curve.
ElizaOS carries the higher editorial rating (4.6/5 vs 4.4/5), but they solve different problems. ElizaOS is the stronger pick when you need most widely adopted agent framework (~60% share). Rig wins when high performance via rust foundation.
Both tools are free to use, with costs coming from network or usage fees rather than subscriptions.
ElizaOS's main limitation is that a developer framework — requires coding. For Rig, rust has a steep learning curve. Weigh these against how you actually plan to use the tool.
In most cases yes — many teams run both, using each where it's strongest. Since ElizaOS leads on most widely adopted agent framework (~60% share) and Rig on high performance via rust foundation, the two are often complementary rather than mutually exclusive.